Notebook

GRIB2 NWP Archive aggretation using .idx files¶

Work with NODD GFS data on GCP (theoretically works with AWS as well)

Demonstrate building a DataTree, Index File mapping and Static Metdata data file. Use the mapping to rapidly build a on month dataset.
Demonstrate using zarr chunk_getitems hack to parallelize getting a timeseries

Import some stuff...¶

In [1]:

%load_ext autoreload
%autoreload 2

import logging
import importlib

importlib.reload(logging)
logging.basicConfig(
    format="%(asctime)s.%(msecs)03dZ %(processName)s %(threadName)s %(levelname)s:%(name)s:%(message)s",
    datefmt="%Y-%m-%dT%H:%M:%S",
    level=logging.WARNING,
)

logger = logging.getLogger("juypter")

In [2]:

import datetime
import copy
import xarray as xr
import numpy as np
import pandas as pd
import fsspec
import kerchunk
from kerchunk.grib2 import (
    grib_tree, scan_grib, extract_datatree_chunk_index, strip_datavar_chunks, 
    reinflate_grib_store, AggregationType, read_store, write_store, parse_grib_idx,
    build_idx_grib_mapping, map_from_index
)
import gcsfs

pd.set_option('display.max_columns', None)

Extract the zarr store metadata¶

Pick a file, any file... Must be on GCS so that coords use the same file store as the data vars

In [3]:

%%time
# Pick two files to build a grib_tree with the correct dimensions
gfs_files = [
    "gs://global-forecast-system/gfs.20230928/00/atmos/gfs.t00z.pgrb2.0p25.f000",
    "gs://global-forecast-system/gfs.20230928/00/atmos/gfs.t00z.pgrb2.0p25.f001"
]

# This operation reads two of the large Grib2 files from GCS
# scan_grib extracts the zarr kerchunk metadata for each individual grib message
# grib_tree builds a zarr/xarray compatible hierarchical view of the dataset
gfs_grib_tree_store = grib_tree([group for f in gfs_files for group in scan_grib(f)])
# it is slow even in parallel because it requires a huge amount of IO

2024-10-29T11:25:07.681Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 1 of 3. Reason: timed out
2024-10-29T11:25:11.720Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 2 of 3. Reason: timed out
2024-10-29T11:25:16.684Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 3 of 3. Reason: timed out
2024-10-29T11:25:16.687Z MainProcess MainThread WARNING:google.auth._default:Authentication failed using Compute Engine authentication due to unavailable metadata server.
2024-10-29T11:25:17.303Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 1 of 5. Reason: HTTPConnectionPool(host='metadata.google.internal', port=80): Max retries exceeded with url: /computeMetadata/v1/instance/service-accounts/default/?recursive=true (Caused by NameResolutionError("<urllib3.connection.HTTPConnection object at 0x7f37f4eb9760>: Failed to resolve 'metadata.google.internal' ([Errno -2] Name or service not known)"))
2024-10-29T11:25:18.327Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 2 of 5. Reason: HTTPConnectionPool(host='metadata.google.internal', port=80): Max retries exceeded with url: /computeMetadata/v1/instance/service-accounts/default/?recursive=true (Caused by NameResolutionError("<urllib3.connection.HTTPConnection object at 0x7f37ed8ce3f0>: Failed to resolve 'metadata.google.internal' ([Errno -2] Name or service not known)"))
2024-10-29T11:25:20.385Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 3 of 5. Reason: HTTPConnectionPool(host='metadata.google.internal', port=80): Max retries exceeded with url: /computeMetadata/v1/instance/service-accounts/default/?recursive=true (Caused by NameResolutionError("<urllib3.connection.HTTPConnection object at 0x7f37ed8ce780>: Failed to resolve 'metadata.google.internal' ([Errno -2] Name or service not known)"))
2024-10-29T11:25:24.757Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 4 of 5. Reason: HTTPConnectionPool(host='metadata.google.internal', port=80): Max retries exceeded with url: /computeMetadata/v1/instance/service-accounts/default/?recursive=true (Caused by NameResolutionError("<urllib3.connection.HTTPConnection object at 0x7f37ed8cddc0>: Failed to resolve 'metadata.google.internal' ([Errno -2] Name or service not known)"))
2024-10-29T11:25:33.084Z MainProcess MainThread WARNING:google.auth.compute_engine._metadata:Compute Engine Metadata server unavailable on attempt 5 of 5. Reason: HTTPConnectionPool(host='metadata.google.internal', port=80): Max retries exceeded with url: /computeMetadata/v1/instance/service-accounts/default/?recursive=true (Caused by NameResolutionError("<urllib3.connection.HTTPConnection object at 0x7f37ed8ce210>: Failed to resolve 'metadata.google.internal' ([Errno -2] Name or service not known)"))
2024-10-29T11:29:09.097Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 586. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:29:09.112Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 665. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:29:09.180Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 1274. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:29:09.181Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 1285. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:29:09.197Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 1407. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
/home/rsignell/repos/kerchunk/kerchunk/combine.py:376: UserWarning: Concatenated coordinate 'time' contains less than expectednumber of values across the datasets: [1695859200]
  warnings.warn(
/home/rsignell/repos/kerchunk/kerchunk/combine.py:376: UserWarning: Concatenated coordinate 'step' contains less than expectednumber of values across the datasets: [1]
  warnings.warn(

CPU times: user 34.6 s, sys: 2.85 s, total: 37.5 s
Wall time: 4min 15s

In [4]:

%%time
# The grib_tree can be opened directly using either zarr or xarray datatree
# But this is too slow to build big aggregations
gfs_dt = xr.open_datatree(fsspec.filesystem("reference", fo=gfs_grib_tree_store).get_mapper(""), engine="zarr", consolidated=False)
gfs_dt

CPU times: user 10.2 s, sys: 1.61 s, total: 11.8 s
Wall time: 11.9 s

Out[4]:

<xarray.DatasetView> Size: 0B
Dimensions:  ()
Data variables:
    *empty*

xarray.DataTree

Groups: (98)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Sunshine Duration
SUNSD
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: SUNSD (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
SUNSD
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
SUNSD
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Sunshine Duration
GRIB_numberOfPoints :
1038240
GRIB_paramId :
7001292
GRIB_shortName :
SUNSD
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
s
GRIB_uvRelativeToGrid :
0
long_name :
Sunshine Duration
standard_name :
unknown
units :
s
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Sunshine Duration
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Ventilation Rate
VRATE
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 ... 359.5 359.8 planetaryBoundaryLayer float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: VRATE (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: planetaryBoundaryLayer
planetaryBoundaryLayer
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
planetaryBoundaryLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
VRATE
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
VRATE
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Ventilation Rate
GRIB_numberOfPoints :
1038240
GRIB_paramId :
7001353
GRIB_shortName :
VRATE
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
planetaryBoundaryLayer
GRIB_units :
m**2 s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Ventilation Rate
standard_name :
unknown
units :
m**2 s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
planetaryBoundaryLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Ventilation Rate
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Absolute vorticity
absv
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 133MB Dimensions: (time: 1, step: 2, isobaricInPa: 8, latitude: 721, longitude: 1440) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: absv (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInPa: 8
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
absv
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
absv
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Absolute vorticity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3041
GRIB_shortName :
absv
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Absolute vorticity
standard_name :
unknown
units :
s**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (time: 1, step: 2, isobaricInhPa: 33, latitude: 721, longitude: 1440) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: absv (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInhPa: 33
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
absv
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
absv
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Absolute vorticity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3041
GRIB_shortName :
absv
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Absolute vorticity
standard_name :
unknown
units :
s**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Absolute vorticity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Convective precipitation (water)
acpcp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: accum
accum
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: acpcp (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
acpcp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
lwe_thickness_of_convective_precipitation_amount
GRIB_cfVarName :
acpcp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective precipitation (water)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3063
GRIB_shortName :
acpcp
GRIB_stepType :
accum
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Convective precipitation (water)
standard_name :
lwe_thickness_of_convective_precipitation_amount
units :
kg m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
accum
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Convective precipitation (water)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Forecast albedo
al
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: al (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
al
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
surface_albedo
GRIB_cfVarName :
al
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Forecast albedo
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260509
GRIB_shortName :
al
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Forecast albedo
standard_name :
surface_albedo
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Forecast albedo
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Apparent temperature
aptmp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: aptmp (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
aptmp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
aptmp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Apparent temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260255
GRIB_shortName :
aptmp
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Apparent temperature
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Apparent temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Time-mean pressure
avg_pres
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (6)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: highCloudBottom float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: highCloudBottom
highCloudBottom
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
highCloudBottom
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
avg_pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235098
GRIB_shortName :
avg_pres
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highCloudBottom
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highCloudBottom

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: highCloudTop float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: highCloudTop
highCloudTop
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
highCloudTop
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
avg_pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235098
GRIB_shortName :
avg_pres
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highCloudTop
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highCloudTop

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 lowCloudBottom float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: lowCloudBottom
lowCloudBottom
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
lowCloudBottom
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
avg_pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235098
GRIB_shortName :
avg_pres
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
lowCloudBottom
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
lowCloudBottom

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 lowCloudTop float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: lowCloudTop
lowCloudTop
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
lowCloudTop
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
avg_pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235098
GRIB_shortName :
avg_pres
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
lowCloudTop
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
lowCloudTop

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 middleCloudBottom float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: middleCloudBottom
middleCloudBottom
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
middleCloudBottom
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
avg_pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235098
GRIB_shortName :
avg_pres
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
middleCloudBottom
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
middleCloudBottom

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 middleCloudTop float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: middleCloudTop
middleCloudTop
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
middleCloudTop
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
avg_pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235098
GRIB_shortName :
avg_pres
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
middleCloudTop
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
middleCloudTop
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Time-mean pressure
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Time-mean temperature
avg_t
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (3)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: highCloudTop float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_t (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: highCloudTop
highCloudTop
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
highCloudTop
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
avg_t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235130
GRIB_shortName :
avg_t
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highCloudTop
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean temperature
standard_name :
air_temperature
units :
K
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highCloudTop

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 lowCloudTop float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_t (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: lowCloudTop
lowCloudTop
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
lowCloudTop
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
avg_t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235130
GRIB_shortName :
avg_t
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
lowCloudTop
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean temperature
standard_name :
air_temperature
units :
K
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
lowCloudTop

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 middleCloudTop float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: avg_t (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: middleCloudTop
middleCloudTop
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
middleCloudTop
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
avg_t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
avg_t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Time-mean temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235130
GRIB_shortName :
avg_t
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
middleCloudTop
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Time-mean temperature
standard_name :
air_temperature
units :
K
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
middleCloudTop
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Time-mean temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Convective available potential energy
cape
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cape (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cape
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cape
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective available potential energy
GRIB_numberOfPoints :
1038240
GRIB_paramId :
59
GRIB_shortName :
cape
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
J kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Convective available potential energy
standard_name :
unknown
units :
J kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cape (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cape
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cape
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective available potential energy
GRIB_numberOfPoints :
1038240
GRIB_paramId :
59
GRIB_shortName :
cape
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
J kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Convective available potential energy
standard_name :
unknown
units :
J kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Convective available potential energy
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Categorical freezing rain
cfrzr
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: cfrzr (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
cfrzr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cfrzr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical freezing rain
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260030
GRIB_shortName :
cfrzr
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical freezing rain
standard_name :
unknown
units :
(Code table 4.222)
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cfrzr (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cfrzr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cfrzr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical freezing rain
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260030
GRIB_shortName :
cfrzr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical freezing rain
standard_name :
unknown
units :
(Code table 4.222)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Categorical freezing rain
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Categorical ice pellets
cicep
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: cicep (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
cicep
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cicep
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical ice pellets
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260031
GRIB_shortName :
cicep
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical ice pellets
standard_name :
unknown
units :
(Code table 4.222)
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cicep (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cicep
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cicep
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical ice pellets
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260031
GRIB_shortName :
cicep
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical ice pellets
standard_name :
unknown
units :
(Code table 4.222)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Categorical ice pellets
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Convective inhibition
cin
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cin (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cin
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cin
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective inhibition
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228001
GRIB_shortName :
cin
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
J kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Convective inhibition
standard_name :
unknown
units :
J kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cin (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cin
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cin
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective inhibition
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228001
GRIB_shortName :
cin
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
J kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Convective inhibition
standard_name :
unknown
units :
J kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Convective inhibition
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Cloud mixing ratio
clwmr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: hybrid float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: clwmr (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: hybrid
hybrid
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
hybrid
()
float64
...
long_name :
hybrid level
positive :
down
standard_name :
atmosphere_hybrid_sigma_pressure_coordinate
units :
1
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
clwmr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
clwmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Cloud mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260018
GRIB_shortName :
clwmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
hybrid
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Cloud mixing ratio
standard_name :
unknown
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
hybrid

<xarray.DatasetView> Size: 365MB Dimensions: (time: 1, step: 2, isobaricInhPa: 22, latitude: 721, longitude: 1440) Coordinates: * isobaricInhPa (isobaricInhPa) float64 176B 50.0 100.0 150.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 352B ... Data variables: clwmr (time, step, isobaricInhPa, latitude, longitude) float64 365MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInhPa: 22
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
50.0 100.0 150.0 ... 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 50., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[44 values with dtype=datetime64[ns]]
Data variables: (1)
clwmr
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
clwmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Cloud mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260018
GRIB_shortName :
clwmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Cloud mixing ratio
standard_name :
unknown
units :
kg kg**-1
[45682560 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Cloud mixing ratio
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Plant canopy surface water
cnwat
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cnwat (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cnwat
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cnwat
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Plant canopy surface water
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260189
GRIB_shortName :
cnwat
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Plant canopy surface water
standard_name :
unknown
units :
kg m**-2
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Plant canopy surface water
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Percent frozen precipitation
cpofp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cpofp (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cpofp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cpofp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Percent frozen precipitation
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260035
GRIB_shortName :
cpofp
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Percent frozen precipitation
standard_name :
unknown
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Percent frozen precipitation
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Convective precipitation rate
cpr
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: cpr (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
cpr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cpr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective precipitation rate
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260033
GRIB_shortName :
cpr
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2 s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Convective precipitation rate
standard_name :
unknown
units :
kg m**-2 s**-1
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: cpr (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
cpr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cpr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Convective precipitation rate
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260033
GRIB_shortName :
cpr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2 s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Convective precipitation rate
standard_name :
unknown
units :
kg m**-2 s**-1
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Convective precipitation rate
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Categorical rain
crain
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: crain (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
crain
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
crain
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical rain
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260029
GRIB_shortName :
crain
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical rain
standard_name :
unknown
units :
(Code table 4.222)
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: crain (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
crain
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
crain
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical rain
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260029
GRIB_shortName :
crain
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical rain
standard_name :
unknown
units :
(Code table 4.222)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Categorical rain
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Categorical snow
csnow
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: csnow (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
csnow
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
csnow
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical snow
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260032
GRIB_shortName :
csnow
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical snow
standard_name :
unknown
units :
(Code table 4.222)
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: csnow (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
csnow
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
csnow
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Categorical snow
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260032
GRIB_shortName :
csnow
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.222)
GRIB_uvRelativeToGrid :
0
long_name :
Categorical snow
standard_name :
unknown
units :
(Code table 4.222)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Categorical snow
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Cloud water
cwat
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: atmosphereSingleLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: cwat (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: atmosphereSingleLayer
atmosphereSingleLayer
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
atmosphereSingleLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
cwat
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cwat
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Cloud water
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260102
GRIB_shortName :
cwat
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphereSingleLayer
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Cloud water
standard_name :
unknown
units :
kg m**-2
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphereSingleLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Cloud water
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Cloud work function
cwork
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: atmosphereSingleLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: cwork (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: atmosphereSingleLayer
atmosphereSingleLayer
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
atmosphereSingleLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
cwork
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
cwork
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Cloud work function
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260111
GRIB_shortName :
cwork
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphereSingleLayer
GRIB_units :
J kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Cloud work function
standard_name :
unknown
units :
J kg**-1
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphereSingleLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Cloud work function
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 2 metre dewpoint temperature
d2m
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: d2m (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
d2m
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
d2m
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
2 metre dewpoint temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
168
GRIB_shortName :
2d
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
2 metre dewpoint temperature
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
2 metre dewpoint temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Field Capacity
fldcp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: fldcp (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
fldcp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
fldcp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Field Capacity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260483
GRIB_shortName :
fldcp
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
Fraction
GRIB_uvRelativeToGrid :
0
long_name :
Field Capacity
standard_name :
unknown
units :
Fraction
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Field Capacity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Frictional velocity
fricv
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: fricv (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
fricv
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
fricv
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Frictional velocity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260073
GRIB_shortName :
fricv
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Frictional velocity
standard_name :
unknown
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Frictional velocity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Forecast surface roughness
fsr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: fsr (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
fsr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
fsr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Forecast surface roughness
GRIB_numberOfPoints :
1038240
GRIB_paramId :
244
GRIB_shortName :
fsr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
Forecast surface roughness
standard_name :
unknown
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Forecast surface roughness
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Ground heat flux
gflux
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: gflux (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
gflux
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
gflux
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Ground heat flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260186
GRIB_shortName :
gflux
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Ground heat flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Ground heat flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Geopotential height
gh
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (8)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: cloudCeiling float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: gh (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: cloudCeiling
cloudCeiling
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
cloudCeiling
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
cloudCeiling
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
cloudCeiling

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: highestTroposphericFreezing float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -90.0 * longitude (longitude) float64 12kB 0.0 0.25 ... 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: gh (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: highestTroposphericFreezing
highestTroposphericFreezing
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
highestTroposphericFreezing
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highestTroposphericFreezing
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highestTroposphericFreezing

<xarray.DatasetView> Size: 133MB Dimensions: (time: 1, step: 2, isobaricInPa: 8, latitude: 721, longitude: 1440) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: gh (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInPa: 8
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (time: 1, step: 2, isobaricInhPa: 33, latitude: 721, longitude: 1440) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: gh (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInhPa: 33
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: isothermZero float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: gh (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: isothermZero
isothermZero
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
isothermZero
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isothermZero
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isothermZero

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 maxWind float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: gh (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: maxWind
maxWind
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
maxWind
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
maxWind
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
maxWind

<xarray.DatasetView> Size: 33MB Dimensions: (time: 1, step: 2, potentialVorticity: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * potentialVorticity (potentialVorticity) float64 16B 2e+03 2.147e+09 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, potentialVorticity) datetime64[ns] 32B ... Data variables: gh (time, step, potentialVorticity, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: potentialVorticity
potentialVorticity
Groups: (0)
Dimensions:
time: 1
step: 2
potentialVorticity: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
potentialVorticity
(potentialVorticity)
float64
2e+03 2.147e+09
array([2.000000e+03, 2.147486e+09])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, potentialVorticity)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, potentialVorticity, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
potentialVorticity
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
potentialVorticity

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: gh (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
gh
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
gh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geopotential height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
156
GRIB_shortName :
gh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
gpm
GRIB_uvRelativeToGrid :
0
long_name :
Geopotential height
standard_name :
geopotential_height
units :
gpm
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Geopotential height
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Graupel (snow pellets)
grle
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: hybrid float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: grle (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: hybrid
hybrid
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
hybrid
()
float64
...
long_name :
hybrid level
positive :
down
standard_name :
atmosphere_hybrid_sigma_pressure_coordinate
units :
1
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
grle
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
grle
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Graupel (snow pellets)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260028
GRIB_shortName :
grle
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
hybrid
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Graupel (snow pellets)
standard_name :
unknown
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
hybrid

<xarray.DatasetView> Size: 365MB Dimensions: (time: 1, step: 2, isobaricInhPa: 22, latitude: 721, longitude: 1440) Coordinates: * isobaricInhPa (isobaricInhPa) float64 176B 50.0 100.0 150.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 352B ... Data variables: grle (time, step, isobaricInhPa, latitude, longitude) float64 365MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInhPa: 22
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
50.0 100.0 150.0 ... 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 50., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[44 values with dtype=datetime64[ns]]
Data variables: (1)
grle
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
grle
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Graupel (snow pellets)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260028
GRIB_shortName :
grle
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Graupel (snow pellets)
standard_name :
unknown
units :
kg kg**-1
[45682560 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Graupel (snow pellets)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Wind speed (gust)
gust
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: gust (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
gust
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
gust
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Wind speed (gust)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260065
GRIB_shortName :
gust
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Wind speed (gust)
standard_name :
unknown
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Wind speed (gust)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: High cloud cover
hcc
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: highCloudLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: hcc (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: highCloudLayer
highCloudLayer
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
highCloudLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
hcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
hcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
High cloud cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3075
GRIB_shortName :
hcc
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
High cloud cover
standard_name :
unknown
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: highCloudLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: hcc (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: highCloudLayer
highCloudLayer
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
highCloudLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
hcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
hcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
High cloud cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3075
GRIB_shortName :
hcc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
High cloud cover
standard_name :
unknown
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
High cloud cover
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Haines Index
hindex
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: hindex (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
hindex
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
hindex
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Haines Index
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260256
GRIB_shortName :
hindex
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
Numeric
GRIB_uvRelativeToGrid :
0
long_name :
Haines Index
standard_name :
unknown
units :
Numeric
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Haines Index
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Storm relative helicity
hlcy
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: hlcy (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGroundLayer
heightAboveGroundLayer
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
hlcy
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
hlcy
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Storm relative helicity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260125
GRIB_shortName :
hlcy
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGroundLayer
GRIB_units :
m**2 s**-2
GRIB_uvRelativeToGrid :
0
long_name :
Storm relative helicity
standard_name :
unknown
units :
m**2 s**-2
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGroundLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Storm relative helicity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: ICAO Standard Atmosphere reference height
icaht
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 maxWind float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: icaht (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: maxWind
maxWind
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
maxWind
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
icaht
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
icaht
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
ICAO Standard Atmosphere reference height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3005
GRIB_shortName :
icaht
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
maxWind
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
ICAO Standard Atmosphere reference height
standard_name :
unknown
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
maxWind

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: icaht (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
icaht
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
icaht
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
ICAO Standard Atmosphere reference height
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3005
GRIB_shortName :
icaht
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
ICAO Standard Atmosphere reference height
standard_name :
unknown
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
ICAO Standard Atmosphere reference height
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Ice water mixing ratio
icmr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (time: 1, step: 2, latitude: 721, longitude: 1440) Coordinates: hybrid float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: icmr (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: hybrid
hybrid
Groups: (0)
Dimensions:
time: 1
step: 2
latitude: 721
longitude: 1440
Coordinates: (6)
hybrid
()
float64
...
long_name :
hybrid level
positive :
down
standard_name :
atmosphere_hybrid_sigma_pressure_coordinate
units :
1
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
icmr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
icmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Ice water mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260019
GRIB_shortName :
icmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
hybrid
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Ice water mixing ratio
standard_name :
unknown
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
hybrid

<xarray.DatasetView> Size: 365MB Dimensions: (time: 1, step: 2, isobaricInhPa: 22, latitude: 721, longitude: 1440) Coordinates: * isobaricInhPa (isobaricInhPa) float64 176B 50.0 100.0 150.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 352B ... Data variables: icmr (time, step, isobaricInhPa, latitude, longitude) float64 365MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
time: 1
step: 2
isobaricInhPa: 22
latitude: 721
longitude: 1440
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
50.0 100.0 150.0 ... 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 50., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[44 values with dtype=datetime64[ns]]
Data variables: (1)
icmr
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
icmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Ice water mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260019
GRIB_shortName :
icmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Ice water mixing ratio
standard_name :
unknown
units :
kg kg**-1
[45682560 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Ice water mixing ratio
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Instantaneous eastward gravity wave surface stress
iegwss
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: iegwss (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
iegwss
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
iegwss
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Instantaneous eastward gravity wave surface stress
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260081
GRIB_shortName :
iegwss
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
N m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Instantaneous eastward gravity wave surface stress
standard_name :
unknown
units :
N m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Instantaneous eastward gravity wave surface stress
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Instantaneous northward gravity wave surface stress
ingwss
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (time: 1, step: 1, latitude: 721, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: ingwss (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
time: 1
step: 1
latitude: 721
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
ingwss
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
ingwss
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Instantaneous northward gravity wave surface stress
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260082
GRIB_shortName :
ingwss
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
N m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Instantaneous northward gravity wave surface stress
standard_name :
unknown
units :
N m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Instantaneous northward gravity wave surface stress
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Low cloud cover
lcc
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, time: 1, step: 1, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 lowCloudLayer float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: lcc (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: lowCloudLayer
lowCloudLayer
Groups: (0)
Dimensions:
latitude: 721
time: 1
step: 1
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
lowCloudLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
lcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
lcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Low cloud cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3073
GRIB_shortName :
lcc
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
lowCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Low cloud cover
standard_name :
unknown
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
lowCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, time: 1, step: 2, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 lowCloudLayer float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: lcc (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: lowCloudLayer
lowCloudLayer
Groups: (0)
Dimensions:
latitude: 721
time: 1
step: 2
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
lowCloudLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
lcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
lcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Low cloud cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3073
GRIB_shortName :
lcc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
lowCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Low cloud cover
standard_name :
unknown
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
lowCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Low cloud cover
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Surface lifted index
lftx
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, time: 1, step: 2, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: lftx (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
time: 1
step: 2
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
lftx
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
lftx
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface lifted index
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260127
GRIB_shortName :
lftx
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Surface lifted index
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Surface lifted index
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Best (4-layer) lifted index
lftx4
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, time: 1, step: 2, longitude: 1440) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: lftx4 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
time: 1
step: 2
longitude: 1440
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
lftx4
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
lftx4
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Best (4-layer) lifted index
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260128
GRIB_shortName :
4lftx
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Best (4-layer) lifted index
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Best (4-layer) lifted index
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Land-sea mask
lsm
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: lsm (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
lsm
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
land_binary_mask
GRIB_cfVarName :
lsm
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Land-sea mask
GRIB_numberOfPoints :
1038240
GRIB_paramId :
172
GRIB_shortName :
lsm
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(0 - 1)
GRIB_uvRelativeToGrid :
0
long_name :
Land-sea mask
standard_name :
land_binary_mask
units :
(0 - 1)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Land-sea mask
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Medium cloud cover
mcc
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 middleCloudLayer float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: mcc (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: middleCloudLayer
middleCloudLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
middleCloudLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
mcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
mcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Medium cloud cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3074
GRIB_shortName :
mcc
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
middleCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Medium cloud cover
standard_name :
unknown
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
middleCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 middleCloudLayer float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: mcc (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: middleCloudLayer
middleCloudLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
middleCloudLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
mcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
mcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Medium cloud cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3074
GRIB_shortName :
mcc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
middleCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Medium cloud cover
standard_name :
unknown
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
middleCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Medium cloud cover
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: MSLP (Eta model reduction)
mslet
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 meanSea float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: mslet (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: meanSea
meanSea
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
meanSea
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
mslet
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
mslet
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
MSLP (Eta model reduction)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260317
GRIB_shortName :
mslet
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
meanSea
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
MSLP (Eta model reduction)
standard_name :
unknown
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
meanSea
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
MSLP (Eta model reduction)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Mean surface latent heat flux
mslhf
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: mslhf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
mslhf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
mslhf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Mean surface latent heat flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235034
GRIB_shortName :
mslhf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Mean surface latent heat flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Mean surface latent heat flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Mean surface sensible heat flux
msshf
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: msshf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
msshf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
msshf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Mean surface sensible heat flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
235033
GRIB_shortName :
msshf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Mean surface sensible heat flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Mean surface sensible heat flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Ozone mixing ratio
o3mr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: o3mr (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
o3mr
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
o3mr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Ozone mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260131
GRIB_shortName :
o3mr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Ozone mixing ratio
standard_name :
unknown
units :
kg kg**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: o3mr (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
o3mr
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
o3mr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Ozone mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260131
GRIB_shortName :
o3mr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Ozone mixing ratio
standard_name :
unknown
units :
kg kg**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Ozone mixing ratio
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Orography
orog
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: orog (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
orog
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
geopotential_height
GRIB_cfVarName :
orog
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Orography
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228002
GRIB_shortName :
orog
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
Orography
standard_name :
geopotential_height
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Orography
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Pressure of level from which parcel was lifted
plpl
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: plpl (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
plpl
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
plpl
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure of level from which parcel was lifted
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260325
GRIB_shortName :
plpl
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure of level from which parcel was lifted
standard_name :
unknown
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Pressure of level from which parcel was lifted
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Precipitation rate
prate
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: prate (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
prate
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
prate
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Precipitation rate
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3059
GRIB_shortName :
prate
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2 s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Precipitation rate
standard_name :
unknown
units :
kg m**-2 s**-1
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: prate (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
prate
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
prate
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Precipitation rate
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3059
GRIB_shortName :
prate
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2 s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Precipitation rate
standard_name :
unknown
units :
kg m**-2 s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Precipitation rate
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Pressure
pres
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (5)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: convectiveCloudBottom float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: convectiveCloudBottom
convectiveCloudBottom
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
convectiveCloudBottom
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
54
GRIB_shortName :
pres
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
convectiveCloudBottom
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
convectiveCloudBottom

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: convectiveCloudTop float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: pres (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: convectiveCloudTop
convectiveCloudTop
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
convectiveCloudTop
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
54
GRIB_shortName :
pres
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
convectiveCloudTop
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure
standard_name :
unknown
units :
Pa
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
convectiveCloudTop

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: pres (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
54
GRIB_shortName :
pres
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure
standard_name :
unknown
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 maxWind float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: pres (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: maxWind
maxWind
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
maxWind
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
pres
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
54
GRIB_shortName :
pres
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
maxWind
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure
standard_name :
unknown
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
maxWind

<xarray.DatasetView> Size: 33MB Dimensions: (latitude: 721, longitude: 1440, potentialVorticity: 2, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * potentialVorticity (potentialVorticity) float64 16B 2e+03 2.147e+09 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, potentialVorticity) datetime64[ns] 32B ... Data variables: pres (time, step, potentialVorticity, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: potentialVorticity
potentialVorticity
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
potentialVorticity: 2
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
potentialVorticity
(potentialVorticity)
float64
2e+03 2.147e+09
array([2.000000e+03, 2.147486e+09])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, potentialVorticity)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
pres
(time, step, potentialVorticity, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pres
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
54
GRIB_shortName :
pres
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
potentialVorticity
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure
standard_name :
unknown
units :
Pa
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
potentialVorticity
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Pressure
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Pressure reduced to MSL
prmsl
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 meanSea float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: prmsl (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: meanSea
meanSea
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
meanSea
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
prmsl
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
prmsl
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Pressure reduced to MSL
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260074
GRIB_shortName :
prmsl
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
meanSea
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Pressure reduced to MSL
standard_name :
unknown
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
meanSea
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Pressure reduced to MSL
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Potential temperature
pt
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 sigma float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: pt (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigma
sigma
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
sigma
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
pt
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pt
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Potential temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3
GRIB_shortName :
pt
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigma
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Potential temperature
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigma
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Potential temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Precipitable water
pwat
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: atmosphereSingleLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: pwat (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: atmosphereSingleLayer
atmosphereSingleLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
atmosphereSingleLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
pwat
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
pwat
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Precipitable water
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3054
GRIB_shortName :
pwat
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphereSingleLayer
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Precipitable water
standard_name :
unknown
units :
kg m**-2
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphereSingleLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Precipitable water
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Specific humidity
q
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (4)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: q (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
q
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
specific_humidity
GRIB_cfVarName :
q
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Specific humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
133
GRIB_shortName :
q
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Specific humidity
standard_name :
specific_humidity
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: q (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
q
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
specific_humidity
GRIB_cfVarName :
q
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Specific humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
133
GRIB_shortName :
q
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Specific humidity
standard_name :
specific_humidity
units :
kg kg**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: q (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
q
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
specific_humidity
GRIB_cfVarName :
q
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Specific humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
133
GRIB_shortName :
q
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Specific humidity
standard_name :
specific_humidity
units :
kg kg**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: q (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
q
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
specific_humidity
GRIB_cfVarName :
q
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Specific humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
133
GRIB_shortName :
q
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Specific humidity
standard_name :
specific_humidity
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Specific humidity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Relative humidity
r
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (8)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: atmosphereSingleLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: atmosphereSingleLayer
atmosphereSingleLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
atmosphereSingleLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphereSingleLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphereSingleLayer

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: highestTroposphericFreezing float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -90.0 * longitude (longitude) float64 12kB 0.0 0.25 ... 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: highestTroposphericFreezing
highestTroposphericFreezing
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
highestTroposphericFreezing
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
highestTroposphericFreezing
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
highestTroposphericFreezing

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: r (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: r (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: isothermZero float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: isothermZero
isothermZero
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isothermZero
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isothermZero
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isothermZero

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 sigma float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigma
sigma
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
sigma
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigma
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigma

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigmaLayer
sigmaLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
157
GRIB_shortName :
r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigmaLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigmaLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Relative humidity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 2 metre relative humidity
r2
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: r2 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
r2
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
relative_humidity
GRIB_cfVarName :
r2
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
2 metre relative humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260242
GRIB_shortName :
2r
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
2 metre relative humidity
standard_name :
relative_humidity
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
2 metre relative humidity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Maximum/Composite radar reflectivity
refc
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: atmosphere float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: refc (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: atmosphere
atmosphere
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
atmosphere
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
refc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
refc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Maximum/Composite radar reflectivity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260390
GRIB_shortName :
refc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphere
GRIB_units :
dB
GRIB_uvRelativeToGrid :
0
long_name :
Maximum/Composite radar reflectivity
standard_name :
unknown
units :
dB
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphere
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Maximum/Composite radar reflectivity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Derived radar reflectivity
refd
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 33MB Dimensions: (heightAboveGround: 2, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * heightAboveGround (heightAboveGround) float64 16B 1e+03 4e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveGround) datetime64[ns] 32B ... Data variables: refd (time, step, heightAboveGround, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
heightAboveGround: 2
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
heightAboveGround
(heightAboveGround)
float64
1e+03 4e+03
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
array([1000., 4000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveGround)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
refd
(time, step, heightAboveGround, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
refd
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Derived radar reflectivity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260389
GRIB_shortName :
refd
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
dB
GRIB_uvRelativeToGrid :
0
long_name :
Derived radar reflectivity
standard_name :
unknown
units :
dB
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround

<xarray.DatasetView> Size: 33MB Dimensions: (hybrid: 2, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * hybrid (hybrid) float64 16B 1.0 2.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, hybrid) datetime64[ns] 32B ... Data variables: refd (time, step, hybrid, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: hybrid
hybrid
Groups: (0)
Dimensions:
hybrid: 2
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
hybrid
(hybrid)
float64
1.0 2.0
long_name :
hybrid level
positive :
down
standard_name :
atmosphere_hybrid_sigma_pressure_coordinate
units :
1
array([1., 2.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, hybrid)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
refd
(time, step, hybrid, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
refd
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Derived radar reflectivity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260389
GRIB_shortName :
refd
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
hybrid
GRIB_units :
dB
GRIB_uvRelativeToGrid :
0
long_name :
Derived radar reflectivity
standard_name :
unknown
units :
dB
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
hybrid
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Derived radar reflectivity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Rain mixing ratio
rwmr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: hybrid float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: rwmr (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: hybrid
hybrid
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
hybrid
()
float64
...
long_name :
hybrid level
positive :
down
standard_name :
atmosphere_hybrid_sigma_pressure_coordinate
units :
1
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
rwmr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
rwmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Rain mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260020
GRIB_shortName :
rwmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
hybrid
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Rain mixing ratio
standard_name :
unknown
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
hybrid

<xarray.DatasetView> Size: 365MB Dimensions: (isobaricInhPa: 22, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInhPa (isobaricInhPa) float64 176B 50.0 100.0 150.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 352B ... Data variables: rwmr (time, step, isobaricInhPa, latitude, longitude) float64 365MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 22
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
50.0 100.0 150.0 ... 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 50., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[44 values with dtype=datetime64[ns]]
Data variables: (1)
rwmr
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
rwmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Rain mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260020
GRIB_shortName :
rwmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Rain mixing ratio
standard_name :
unknown
units :
kg kg**-1
[45682560 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Rain mixing ratio
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Snow depth
sde
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: sde (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
sde
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
lwe_thickness_of_surface_snow_amount
GRIB_cfVarName :
sde
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Snow depth
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3066
GRIB_shortName :
sde
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
Snow depth
standard_name :
lwe_thickness_of_surface_snow_amount
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Snow depth
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Surface downward long-wave radiation flux
sdlwrf
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: sdlwrf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
sdlwrf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sdlwrf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface downward long-wave radiation flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260097
GRIB_shortName :
sdlwrf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Surface downward long-wave radiation flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Surface downward long-wave radiation flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Surface downward short-wave radiation flux
sdswrf
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: sdswrf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
sdswrf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sdswrf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface downward short-wave radiation flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260087
GRIB_shortName :
sdswrf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Surface downward short-wave radiation flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Surface downward short-wave radiation flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Water equivalent of accumulated snow depth (deprecated)
sdwe
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: sdwe (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
sdwe
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sdwe
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Water equivalent of accumulated snow depth (deprecated)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260056
GRIB_shortName :
sdwe
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Water equivalent of accumulated snow depth (deprecated)
standard_name :
unknown
units :
kg m**-2
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Water equivalent of accumulated snow depth (deprecated)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 2 metre specific humidity
sh2
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: sh2 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
sh2
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
specific_humidity
GRIB_cfVarName :
sh2
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
2 metre specific humidity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
174096
GRIB_shortName :
2sh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
2 metre specific humidity
standard_name :
specific_humidity
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
2 metre specific humidity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Sea ice area fraction
siconc
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: siconc (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
siconc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
sea_ice_area_fraction
GRIB_cfVarName :
siconc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Sea ice area fraction
GRIB_numberOfPoints :
1038240
GRIB_paramId :
31
GRIB_shortName :
ci
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(0 - 1)
GRIB_uvRelativeToGrid :
0
long_name :
Sea ice area fraction
standard_name :
sea_ice_area_fraction
units :
(0 - 1)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Sea ice area fraction
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Sea ice temperature
sit
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: sit (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
sit
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sit
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Sea ice temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
262024
GRIB_shortName :
sit
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Sea ice temperature
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Sea ice temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Sea ice thickness
sithick
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: sithick (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
sithick
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sithick
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Sea ice thickness
GRIB_numberOfPoints :
1038240
GRIB_paramId :
262000
GRIB_shortName :
sithick
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
Sea ice thickness
standard_name :
unknown
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Sea ice thickness
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Soil type
slt
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: slt (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
slt
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
slt
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Soil type
GRIB_numberOfPoints :
1038240
GRIB_paramId :
43
GRIB_shortName :
slt
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
(Code table 4.213)
GRIB_uvRelativeToGrid :
0
long_name :
Soil type
standard_name :
unknown
units :
(Code table 4.213)
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Soil type
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Snow mixing ratio
snmr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: hybrid float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: snmr (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: hybrid
hybrid
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
hybrid
()
float64
...
long_name :
hybrid level
positive :
down
standard_name :
atmosphere_hybrid_sigma_pressure_coordinate
units :
1
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
snmr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
snmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Snow mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260021
GRIB_shortName :
snmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
hybrid
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Snow mixing ratio
standard_name :
unknown
units :
kg kg**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
hybrid

<xarray.DatasetView> Size: 365MB Dimensions: (isobaricInhPa: 22, latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * isobaricInhPa (isobaricInhPa) float64 176B 50.0 100.0 150.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 352B ... Data variables: snmr (time, step, isobaricInhPa, latitude, longitude) float64 365MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 22
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
50.0 100.0 150.0 ... 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 50., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[44 values with dtype=datetime64[ns]]
Data variables: (1)
snmr
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
snmr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Snow mixing ratio
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260021
GRIB_shortName :
snmr
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
kg kg**-1
GRIB_uvRelativeToGrid :
0
long_name :
Snow mixing ratio
standard_name :
unknown
units :
kg kg**-1
[45682560 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Snow mixing ratio
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Liquid volumetric soil moisture (non-frozen)
soill
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: soill (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: depthBelowLandLayer
depthBelowLandLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
soill
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
soill
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Liquid volumetric soil moisture (non-frozen)
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260205
GRIB_shortName :
soill
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
depthBelowLandLayer
GRIB_units :
Proportion
GRIB_uvRelativeToGrid :
0
long_name :
Liquid volumetric soil moisture (non-frozen)
standard_name :
unknown
units :
Proportion
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
depthBelowLandLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Liquid volumetric soil moisture (non-frozen)
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Volumetric soil moisture content
soilw
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: soilw (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: depthBelowLandLayer
depthBelowLandLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
soilw
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
soilw
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Volumetric soil moisture content
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260185
GRIB_shortName :
soilw
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
depthBelowLandLayer
GRIB_units :
Proportion
GRIB_uvRelativeToGrid :
0
long_name :
Volumetric soil moisture content
standard_name :
unknown
units :
Proportion
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
depthBelowLandLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Volumetric soil moisture content
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Surface pressure
sp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: sp (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
sp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
surface_air_pressure
GRIB_cfVarName :
sp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
134
GRIB_shortName :
sp
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Surface pressure
standard_name :
surface_air_pressure
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Surface pressure
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Soil temperature
st
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, time: 1, step: 2) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: st (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: depthBelowLandLayer
depthBelowLandLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
time: 1
step: 2
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
st
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
st
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Soil temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228139
GRIB_shortName :
st
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
depthBelowLandLayer
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Soil temperature
standard_name :
unknown
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
depthBelowLandLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Soil temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Surface upward long-wave radiation flux
sulwrf
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (2)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 nominalTop float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: sulwrf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: nominalTop
nominalTop
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
nominalTop
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
sulwrf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sulwrf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface upward long-wave radiation flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260098
GRIB_shortName :
sulwrf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
nominalTop
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Surface upward long-wave radiation flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
nominalTop

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: sulwrf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
sulwrf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
sulwrf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface upward long-wave radiation flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260098
GRIB_shortName :
sulwrf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Surface upward long-wave radiation flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Surface upward long-wave radiation flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Surface upward short-wave radiation flux
suswrf
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (2)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 nominalTop float64 8B ... * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: suswrf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: nominalTop
nominalTop
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
nominalTop
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
suswrf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
suswrf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface upward short-wave radiation flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260088
GRIB_shortName :
suswrf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
nominalTop
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Surface upward short-wave radiation flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
nominalTop

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: suswrf (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
suswrf
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
suswrf
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Surface upward short-wave radiation flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260088
GRIB_shortName :
suswrf
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
W m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Surface upward short-wave radiation flux
standard_name :
unknown
units :
W m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Surface upward short-wave radiation flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Temperature
t
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (10)

<xarray.DatasetView> Size: 33MB Dimensions: (heightAboveGround: 2, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * heightAboveGround (heightAboveGround) float64 16B 80.0 100.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveGround) datetime64[ns] 32B ... Data variables: t (time, step, heightAboveGround, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
heightAboveGround: 2
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
(heightAboveGround)
float64
80.0 100.0
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
array([ 80., 100.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveGround)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, heightAboveGround, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround

<xarray.DatasetView> Size: 50MB Dimensions: (heightAboveSea: 3, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * heightAboveSea (heightAboveSea) float64 24B 1.829e+03 2.743e+03 3.658e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveSea) datetime64[ns] 48B ... Data variables: t (time, step, heightAboveSea, latitude, longitude) float64 50MB ... Attributes: typeOfLevel: heightAboveSea
heightAboveSea
Groups: (0)
Dimensions:
heightAboveSea: 3
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveSea
(heightAboveSea)
float64
1.829e+03 2.743e+03 3.658e+03
array([1829., 2743., 3658.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveSea)
datetime64[ns]
...
long_name :
time
standard_name :
time
[6 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, heightAboveSea, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveSea
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[6229440 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveSea

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: t (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: t (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 maxWind float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: t (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: maxWind
maxWind
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
maxWind
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
maxWind
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
maxWind

<xarray.DatasetView> Size: 33MB Dimensions: (latitude: 721, longitude: 1440, potentialVorticity: 2, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * potentialVorticity (potentialVorticity) float64 16B 2e+03 2.147e+09 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, potentialVorticity) datetime64[ns] 32B ... Data variables: t (time, step, potentialVorticity, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: potentialVorticity
potentialVorticity
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
potentialVorticity: 2
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
potentialVorticity
(potentialVorticity)
float64
2e+03 2.147e+09
array([2.000000e+03, 2.147486e+09])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, potentialVorticity)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, potentialVorticity, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
potentialVorticity
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
potentialVorticity

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: t (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 sigma float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: t (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigma
sigma
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
sigma
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigma
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigma

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: t (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: t (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
t
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
130
GRIB_shortName :
t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Temperature
standard_name :
air_temperature
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 2 metre temperature
t2m
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: t2m (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
t2m
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
air_temperature
GRIB_cfVarName :
t2m
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
2 metre temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
167
GRIB_shortName :
2t
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
2 metre temperature
standard_name :
air_temperature
units :
K
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
2 metre temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Total Cloud Cover
tcc
Groups: (2)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (2)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: atmosphere float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: tcc (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: atmosphere
atmosphere
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
atmosphere
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
tcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total Cloud Cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228164
GRIB_shortName :
tcc
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphere
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Total Cloud Cover
standard_name :
unknown
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphere

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: boundaryLayerCloudLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: tcc (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: boundaryLayerCloudLayer
boundaryLayerCloudLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
boundaryLayerCloudLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
tcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total Cloud Cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228164
GRIB_shortName :
tcc
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
boundaryLayerCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Total Cloud Cover
standard_name :
unknown
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
boundaryLayerCloudLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (3)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: atmosphere float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: tcc (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: atmosphere
atmosphere
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
atmosphere
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
tcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total Cloud Cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228164
GRIB_shortName :
tcc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphere
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Total Cloud Cover
standard_name :
unknown
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphere

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: convectiveCloudLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: tcc (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: convectiveCloudLayer
convectiveCloudLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
convectiveCloudLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
tcc
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total Cloud Cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228164
GRIB_shortName :
tcc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
convectiveCloudLayer
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Total Cloud Cover
standard_name :
unknown
units :
%
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
convectiveCloudLayer

<xarray.DatasetView> Size: 365MB Dimensions: (isobaricInhPa: 22, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInhPa (isobaricInhPa) float64 176B 50.0 100.0 150.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 352B ... Data variables: tcc (time, step, isobaricInhPa, latitude, longitude) float64 365MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 22
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
50.0 100.0 150.0 ... 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 50., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[44 values with dtype=datetime64[ns]]
Data variables: (1)
tcc
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tcc
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total Cloud Cover
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228164
GRIB_shortName :
tcc
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Total Cloud Cover
standard_name :
unknown
units :
%
[45682560 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Total Cloud Cover
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Maximum temperature
tmax
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: max
max
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: tmax (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
tmax
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tmax
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Maximum temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3015
GRIB_shortName :
tmax
GRIB_stepType :
max
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Maximum temperature
standard_name :
unknown
units :
K
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
max
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Maximum temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Minimum temperature
tmin
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: min
min
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: tmin (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
tmin
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tmin
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Minimum temperature
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3016
GRIB_shortName :
tmin
GRIB_stepType :
min
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
K
GRIB_uvRelativeToGrid :
0
long_name :
Minimum temperature
standard_name :
unknown
units :
K
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
min
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Minimum temperature
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Total ozone
tozne
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: atmosphereSingleLayer float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: tozne (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: atmosphereSingleLayer
atmosphereSingleLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
atmosphereSingleLayer
()
float64
...
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
tozne
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tozne
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total ozone
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260130
GRIB_shortName :
tozne
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
atmosphereSingleLayer
GRIB_units :
DU
GRIB_uvRelativeToGrid :
0
long_name :
Total ozone
standard_name :
unknown
units :
DU
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
atmosphereSingleLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Total ozone
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Total Precipitation
tp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: accum
accum
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: tp (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
tp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
tp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Total Precipitation
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228228
GRIB_shortName :
tp
GRIB_stepType :
accum
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Total Precipitation
standard_name :
unknown
units :
kg m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
accum
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Total Precipitation
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Tropopause pressure
trpp
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: trpp (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
trpp
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
trpp
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Tropopause pressure
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228045
GRIB_shortName :
trpp
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
Pa
GRIB_uvRelativeToGrid :
0
long_name :
Tropopause pressure
standard_name :
unknown
units :
Pa
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Tropopause pressure
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: U component of wind
u
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (10)

<xarray.DatasetView> Size: 83MB Dimensions: (heightAboveGround: 5, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * heightAboveGround (heightAboveGround) float64 40B 20.0 30.0 40.0 50.0 80.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveGround) datetime64[ns] 80B ... Data variables: u (time, step, heightAboveGround, latitude, longitude) float64 83MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
heightAboveGround: 5
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
(heightAboveGround)
float64
20.0 30.0 40.0 50.0 80.0
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
array([20., 30., 40., 50., 80.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveGround)
datetime64[ns]
...
long_name :
time
standard_name :
time
[10 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, heightAboveGround, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[10382400 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround

<xarray.DatasetView> Size: 50MB Dimensions: (heightAboveSea: 3, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * heightAboveSea (heightAboveSea) float64 24B 1.829e+03 2.743e+03 3.658e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveSea) datetime64[ns] 48B ... Data variables: u (time, step, heightAboveSea, latitude, longitude) float64 50MB ... Attributes: typeOfLevel: heightAboveSea
heightAboveSea
Groups: (0)
Dimensions:
heightAboveSea: 3
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveSea
(heightAboveSea)
float64
1.829e+03 2.743e+03 3.658e+03
array([1829., 2743., 3658.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveSea)
datetime64[ns]
...
long_name :
time
standard_name :
time
[6 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, heightAboveSea, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveSea
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[6229440 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveSea

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: u (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: u (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 maxWind float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: u (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: maxWind
maxWind
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
maxWind
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
maxWind
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
maxWind

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 ... 359.5 359.8 planetaryBoundaryLayer float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: u (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: planetaryBoundaryLayer
planetaryBoundaryLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
planetaryBoundaryLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
planetaryBoundaryLayer
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
planetaryBoundaryLayer

<xarray.DatasetView> Size: 33MB Dimensions: (latitude: 721, longitude: 1440, potentialVorticity: 2, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * potentialVorticity (potentialVorticity) float64 16B 2e+03 2.147e+09 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, potentialVorticity) datetime64[ns] 32B ... Data variables: u (time, step, potentialVorticity, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: potentialVorticity
potentialVorticity
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
potentialVorticity: 2
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
potentialVorticity
(potentialVorticity)
float64
2e+03 2.147e+09
array([2.000000e+03, 2.147486e+09])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, potentialVorticity)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, potentialVorticity, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
potentialVorticity
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
potentialVorticity

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: u (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 sigma float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: u (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigma
sigma
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
sigma
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigma
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigma

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: u (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
131
GRIB_shortName :
u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U component of wind
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
U component of wind
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 10 metre U wind component
u10
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: u10 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u10
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u10
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
10 metre U wind component
GRIB_numberOfPoints :
1038240
GRIB_paramId :
165
GRIB_shortName :
10u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
10 metre U wind component
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
10 metre U wind component
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 100 metre U wind component
u100
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: u100 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
u100
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
eastward_wind
GRIB_cfVarName :
u100
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
100 metre U wind component
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228246
GRIB_shortName :
100u
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
100 metre U wind component
standard_name :
eastward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
100 metre U wind component
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: U-component storm motion
ustm
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: ustm (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGroundLayer
heightAboveGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
ustm
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
ustm
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U-component storm motion
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260070
GRIB_shortName :
ustm
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGroundLayer
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
U-component storm motion
standard_name :
unknown
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGroundLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
U-component storm motion
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: U-component of atmospheric surface momentum flux
utaua
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: utaua (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
utaua
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
utaua
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
U-component of atmospheric surface momentum flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
140101
GRIB_shortName :
utaua
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
N m**-2
GRIB_uvRelativeToGrid :
0
long_name :
U-component of atmospheric surface momentum flux
standard_name :
unknown
units :
N m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
U-component of atmospheric surface momentum flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: V component of wind
v
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (10)

<xarray.DatasetView> Size: 83MB Dimensions: (heightAboveGround: 5, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * heightAboveGround (heightAboveGround) float64 40B 20.0 30.0 40.0 50.0 80.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveGround) datetime64[ns] 80B ... Data variables: v (time, step, heightAboveGround, latitude, longitude) float64 83MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
heightAboveGround: 5
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
(heightAboveGround)
float64
20.0 30.0 40.0 50.0 80.0
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
array([20., 30., 40., 50., 80.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveGround)
datetime64[ns]
...
long_name :
time
standard_name :
time
[10 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, heightAboveGround, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[10382400 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround

<xarray.DatasetView> Size: 50MB Dimensions: (heightAboveSea: 3, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * heightAboveSea (heightAboveSea) float64 24B 1.829e+03 2.743e+03 3.658e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, heightAboveSea) datetime64[ns] 48B ... Data variables: v (time, step, heightAboveSea, latitude, longitude) float64 50MB ... Attributes: typeOfLevel: heightAboveSea
heightAboveSea
Groups: (0)
Dimensions:
heightAboveSea: 3
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveSea
(heightAboveSea)
float64
1.829e+03 2.743e+03 3.658e+03
array([1829., 2743., 3658.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, heightAboveSea)
datetime64[ns]
...
long_name :
time
standard_name :
time
[6 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, heightAboveSea, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveSea
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[6229440 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveSea

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: v (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: v (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 maxWind float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: v (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: maxWind
maxWind
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
maxWind
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
maxWind
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
maxWind

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 ... 359.5 359.8 planetaryBoundaryLayer float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: v (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: planetaryBoundaryLayer
planetaryBoundaryLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
planetaryBoundaryLayer
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
planetaryBoundaryLayer
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
planetaryBoundaryLayer

<xarray.DatasetView> Size: 33MB Dimensions: (latitude: 721, longitude: 1440, potentialVorticity: 2, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * potentialVorticity (potentialVorticity) float64 16B 2e+03 2.147e+09 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, potentialVorticity) datetime64[ns] 32B ... Data variables: v (time, step, potentialVorticity, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: potentialVorticity
potentialVorticity
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
potentialVorticity: 2
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
potentialVorticity
(potentialVorticity)
float64
2e+03 2.147e+09
array([2.000000e+03, 2.147486e+09])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, potentialVorticity)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, potentialVorticity, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
potentialVorticity
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
potentialVorticity

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: v (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: pressureFromGroundLayer
pressureFromGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
pressureFromGroundLayer
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
pressureFromGroundLayer

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 sigma float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: v (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigma
sigma
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
sigma
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigma
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigma

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: v (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V component of wind
GRIB_numberOfPoints :
1038240
GRIB_paramId :
132
GRIB_shortName :
v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V component of wind
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
V component of wind
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 10 metre V wind component
v10
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: v10 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v10
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v10
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
10 metre V wind component
GRIB_numberOfPoints :
1038240
GRIB_paramId :
166
GRIB_shortName :
10v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
10 metre V wind component
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
10 metre V wind component
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: 100 metre V wind component
v100
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: heightAboveGround float64 8B ... * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: v100 (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGround
heightAboveGround
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
heightAboveGround
()
float64
...
long_name :
height above the surface
positive :
up
standard_name :
height
units :
m
[1 values with dtype=float64]
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
v100
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
northward_wind
GRIB_cfVarName :
v100
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
100 metre V wind component
GRIB_numberOfPoints :
1038240
GRIB_paramId :
228247
GRIB_shortName :
100v
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGround
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
100 metre V wind component
standard_name :
northward_wind
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGround
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
100 metre V wind component
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Vegetation
veg
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: veg (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
veg
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
veg
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Vegetation
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260180
GRIB_shortName :
veg
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
%
GRIB_uvRelativeToGrid :
0
long_name :
Vegetation
standard_name :
unknown
units :
%
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Vegetation
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Visibility
vis
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: vis (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
vis
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
vis
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Visibility
GRIB_numberOfPoints :
1038240
GRIB_paramId :
3020
GRIB_shortName :
vis
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
m
GRIB_uvRelativeToGrid :
0
long_name :
Visibility
standard_name :
unknown
units :
m
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Visibility
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: V-component storm motion
vstm
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: vstm (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: heightAboveGroundLayer
heightAboveGroundLayer
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (5)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
vstm
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
vstm
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V-component storm motion
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260071
GRIB_shortName :
vstm
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
heightAboveGroundLayer
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
V-component storm motion
standard_name :
unknown
units :
m s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
heightAboveGroundLayer
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
V-component storm motion
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: V-component of atmospheric surface momentum flux
vtaua
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: avg
avg
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: vtaua (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
vtaua
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
vtaua
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
V-component of atmospheric surface momentum flux
GRIB_numberOfPoints :
1038240
GRIB_paramId :
140102
GRIB_shortName :
vtaua
GRIB_stepType :
avg
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
N m**-2
GRIB_uvRelativeToGrid :
0
long_name :
V-component of atmospheric surface momentum flux
standard_name :
unknown
units :
N m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
avg
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
V-component of atmospheric surface momentum flux
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Vertical speed shear
vwsh
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 33MB Dimensions: (latitude: 721, longitude: 1440, potentialVorticity: 2, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8 * potentialVorticity (potentialVorticity) float64 16B 2e+03 2.147e+09 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, potentialVorticity) datetime64[ns] 32B ... Data variables: vwsh (time, step, potentialVorticity, latitude, longitude) float64 33MB ... Attributes: typeOfLevel: potentialVorticity
potentialVorticity
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
potentialVorticity: 2
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
potentialVorticity
(potentialVorticity)
float64
2e+03 2.147e+09
array([2.000000e+03, 2.147486e+09])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, potentialVorticity)
datetime64[ns]
...
long_name :
time
standard_name :
time
[4 values with dtype=datetime64[ns]]
Data variables: (1)
vwsh
(time, step, potentialVorticity, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
vwsh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Vertical speed shear
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260068
GRIB_shortName :
vwsh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
potentialVorticity
GRIB_units :
s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Vertical speed shear
standard_name :
unknown
units :
s**-1
[4152960 values with dtype=float64]
Attributes: (1)
typeOfLevel :
potentialVorticity

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 tropopause float64 8B ... valid_time (time, step) datetime64[ns] 16B ... Data variables: vwsh (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: tropopause
tropopause
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
tropopause
()
float64
...
[1 values with dtype=float64]
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
vwsh
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
vwsh
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Vertical speed shear
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260068
GRIB_shortName :
vwsh
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
tropopause
GRIB_units :
s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Vertical speed shear
standard_name :
unknown
units :
s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
tropopause
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Vertical speed shear
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Vertical velocity
w
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (3)

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: w (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
w
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
lagrangian_tendency_of_air_pressure
GRIB_cfVarName :
w
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Vertical velocity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
135
GRIB_shortName :
w
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
Pa s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Vertical velocity
standard_name :
lagrangian_tendency_of_air_pressure
units :
Pa s**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: w (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
w
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
lagrangian_tendency_of_air_pressure
GRIB_cfVarName :
w
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Vertical velocity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
135
GRIB_shortName :
w
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
Pa s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Vertical velocity
standard_name :
lagrangian_tendency_of_air_pressure
units :
Pa s**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 sigma float64 8B ... * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: w (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: sigma
sigma
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
sigma
()
float64
...
[1 values with dtype=float64]
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
w
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
lagrangian_tendency_of_air_pressure
GRIB_cfVarName :
w
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Vertical velocity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
135
GRIB_shortName :
w
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
sigma
GRIB_units :
Pa s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Vertical velocity
standard_name :
lagrangian_tendency_of_air_pressure
units :
Pa s**-1
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
sigma
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Vertical velocity
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Water runoff
watr
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: accum
accum
Groups: (1)

<xarray.DatasetView> Size: 8MB Dimensions: (latitude: 721, longitude: 1440, step: 1, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 8B 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 8B ... Data variables: watr (time, step, latitude, longitude) float64 8MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 1
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[1 values with dtype=datetime64[ns]]
Data variables: (1)
watr
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
watr
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Water runoff
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260181
GRIB_shortName :
watr
GRIB_stepType :
accum
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
kg m**-2
GRIB_uvRelativeToGrid :
0
long_name :
Water runoff
standard_name :
unknown
units :
kg m**-2
[1038240 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
accum
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Water runoff
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Wilting Point
wilt
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (1)

<xarray.DatasetView> Size: 17MB Dimensions: (latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 surface float64 8B ... * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step) datetime64[ns] 16B ... Data variables: wilt (time, step, latitude, longitude) float64 17MB ... Attributes: typeOfLevel: surface
surface
Groups: (0)
Dimensions:
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
surface
()
float64
...
[1 values with dtype=float64]
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step)
datetime64[ns]
...
long_name :
time
standard_name :
time
[2 values with dtype=datetime64[ns]]
Data variables: (1)
wilt
(time, step, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
wilt
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Wilting Point
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260442
GRIB_shortName :
wilt
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
surface
GRIB_units :
Fraction
GRIB_uvRelativeToGrid :
0
long_name :
Wilting Point
standard_name :
unknown
units :
Fraction
[2076480 values with dtype=float64]
Attributes: (1)
typeOfLevel :
surface
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Wilting Point
<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: name: Geometric vertical velocity
wz
Groups: (1)

<xarray.DatasetView> Size: 0B Dimensions: () Data variables: *empty* Attributes: stepType: instant
instant
Groups: (2)

<xarray.DatasetView> Size: 133MB Dimensions: (isobaricInPa: 8, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInPa (isobaricInPa) float64 64B 1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInPa) datetime64[ns] 128B ... Data variables: wz (time, step, isobaricInPa, latitude, longitude) float64 133MB ... Attributes: typeOfLevel: isobaricInPa
isobaricInPa
Groups: (0)
Dimensions:
isobaricInPa: 8
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInPa
(isobaricInPa)
float64
1.0 2.0 4.0 7.0 10.0 20.0 40.0 70.0
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
Pa
array([ 1., 2., 4., 7., 10., 20., 40., 70.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[16 values with dtype=datetime64[ns]]
Data variables: (1)
wz
(time, step, isobaricInPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
wz
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geometric vertical velocity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260238
GRIB_shortName :
wz
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInPa
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Geometric vertical velocity
standard_name :
unknown
units :
m s**-1
[16611840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInPa

<xarray.DatasetView> Size: 548MB Dimensions: (isobaricInhPa: 33, latitude: 721, longitude: 1440, step: 2, time: 1) Coordinates: * isobaricInhPa (isobaricInhPa) float64 264B 1.0 2.0 3.0 ... 975.0 1e+03 * latitude (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0 * longitude (longitude) float64 12kB 0.0 0.25 0.5 ... 359.2 359.5 359.8 * step (step) timedelta64[ns] 16B 00:00:00 01:00:00 * time (time) datetime64[ns] 8B 2023-09-28 valid_time (time, step, isobaricInhPa) datetime64[ns] 528B ... Data variables: wz (time, step, isobaricInhPa, latitude, longitude) float64 548MB ... Attributes: typeOfLevel: isobaricInhPa
isobaricInhPa
Groups: (0)
Dimensions:
isobaricInhPa: 33
latitude: 721
longitude: 1440
step: 2
time: 1
Coordinates: (6)
isobaricInhPa
(isobaricInhPa)
float64
1.0 2.0 3.0 ... 950.0 975.0 1e+03
long_name :
pressure
positive :
down
standard_name :
air_pressure
stored_direction :
decreasing
units :
hPa
array([ 1., 2., 3., 5., 7., 10., 15., 20., 30., 40., 50., 70., 100., 150., 200., 250., 300., 350., 400., 450., 500., 550., 600., 650., 700., 750., 800., 850., 900., 925., 950., 975., 1000.])
latitude
(latitude)
float64
90.0 89.75 89.5 ... -89.75 -90.0
long_name :
latitude
standard_name :
latitude
units :
degrees_north
array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ])
longitude
(longitude)
float64
0.0 0.25 0.5 ... 359.2 359.5 359.8
long_name :
longitude
standard_name :
longitude
units :
degrees_east
array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02, 3.5975e+02])
step
(step)
timedelta64[ns]
00:00:00 01:00:00
long_name :
time since forecast_reference_time
standard_name :
forecast_period
array([ 0, 3600000000000], dtype='timedelta64[ns]')
time
(time)
datetime64[ns]
2023-09-28
long_name :
initial time of forecast
standard_name :
forecast_reference_time
array(['2023-09-28T00:00:00.000000000'], dtype='datetime64[ns]')
valid_time
(time, step, isobaricInhPa)
datetime64[ns]
...
long_name :
time
standard_name :
time
[66 values with dtype=datetime64[ns]]
Data variables: (1)
wz
(time, step, isobaricInhPa, latitude, longitude)
float64
...
GRIB_NV :
0
GRIB_Nx :
1440
GRIB_Ny :
721
GRIB_cfName :
unknown
GRIB_cfVarName :
wz
GRIB_dataType :
fc
GRIB_gridDefinitionDescription :
Latitude/longitude. Also called equidistant cylindrical, or Plate Carree
GRIB_gridType :
regular_ll
GRIB_iDirectionIncrementInDegrees :
0.25
GRIB_iScansNegatively :
0
GRIB_jDirectionIncrementInDegrees :
0.25
GRIB_jPointsAreConsecutive :
0
GRIB_jScansPositively :
0
GRIB_latitudeOfFirstGridPointInDegrees :
90.0
GRIB_latitudeOfLastGridPointInDegrees :
-90.0
GRIB_longitudeOfFirstGridPointInDegrees :
0.0
GRIB_longitudeOfLastGridPointInDegrees :
359.75
GRIB_missingValue :
3.4028234663852886e+38
GRIB_name :
Geometric vertical velocity
GRIB_numberOfPoints :
1038240
GRIB_paramId :
260238
GRIB_shortName :
wz
GRIB_stepType :
instant
GRIB_stepUnits :
1
GRIB_typeOfLevel :
isobaricInhPa
GRIB_units :
m s**-1
GRIB_uvRelativeToGrid :
0
long_name :
Geometric vertical velocity
standard_name :
unknown
units :
m s**-1
[68523840 values with dtype=float64]
Attributes: (1)
typeOfLevel :
isobaricInhPa
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
stepType :
instant
Dimensions:
Coordinates: (0)
Data variables: (0)
Attributes: (1)
name :
Geometric vertical velocity
Dimensions:
Coordinates: (0)
Inherited coordinates: (0)
Data variables: (0)
Attributes: (0)

Separating static metadata from the chunk indexes¶

In [5]:

# The key metadata associated with each grib message can be extracted into a table
gfs_kind = extract_datatree_chunk_index(gfs_dt, gfs_grib_tree_store, grib=True)
gfs_kind

Out[5]:

	varname	typeOfLevel	stepType	name	step	level	time	valid_time	uri	offset	length	inline_value
0	SUNSD	surface	instant	Sunshine Duration	0 days 00:00:00	0.0	2023-09-28	2023-09-28 00:00:00	gs://global-forecast-system/gfs.20230928/00/at...	416447304	383061	None
1	SUNSD	surface	instant	Sunshine Duration	0 days 01:00:00	0.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	429168740	221940	None
2	VRATE	planetaryBoundaryLayer	instant	Ventilation Rate	0 days 00:00:00	0.0	2023-09-28	2023-09-28 00:00:00	gs://global-forecast-system/gfs.20230928/00/at...	6054405	591959	None
3	VRATE	planetaryBoundaryLayer	instant	Ventilation Rate	0 days 01:00:00	0.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	6045934	592711	None
4	absv	isobaricInPa	instant	Absolute vorticity	0 days 00:00:00	1.0	2023-09-28	2023-09-28 00:00:00	gs://global-forecast-system/gfs.20230928/00/at...	13061277	580090	None
...	...	...	...	...	...	...	...	...	...	...	...	...
1395	wz	isobaricInhPa	instant	Geometric vertical velocity	0 days 01:00:00	900.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	349016299	1153904	None
1396	wz	isobaricInhPa	instant	Geometric vertical velocity	0 days 01:00:00	925.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	361143359	1137808	None
1397	wz	isobaricInhPa	instant	Geometric vertical velocity	0 days 01:00:00	950.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	373027803	1105352	None
1398	wz	isobaricInhPa	instant	Geometric vertical velocity	0 days 01:00:00	975.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	384543278	1033901	None
1399	wz	isobaricInhPa	instant	Geometric vertical velocity	0 days 01:00:00	1000.0	2023-09-28	2023-09-28 01:00:00	gs://global-forecast-system/gfs.20230928/00/at...	394297534	905395	None

1400 rows × 12 columns

In [6]:

# While the static zarr metadata associated with the dataset can be seperated - created once.
deflated_gfs_grib_tree_store = copy.deepcopy(gfs_grib_tree_store)
strip_datavar_chunks(deflated_gfs_grib_tree_store)

write_store("./", deflated_gfs_grib_tree_store)

print("Original references: ", len(gfs_grib_tree_store["refs"]))
print("Stripped references: ", len(deflated_gfs_grib_tree_store["refs"]))

Original references:  7011
Stripped references:  3677

Building it faster¶

Okay that was fun - I promise you can recombine these pieces but it still takes the same amount of time to run scan_grib.

The k(erchunk) index data looks a lot like the idx files that are present for every grib file in NODD's GCS archive though...

1:0:d=2023092800:PRMSL:mean sea level:1 hour fcst:
2:990253:d=2023092800:CLWMR:1 hybrid level:1 hour fcst:
3:1079774:d=2023092800:ICMR:1 hybrid level:1 hour fcst:
4:1332540:d=2023092800:RWMR:1 hybrid level:1 hour fcst:
5:1558027:d=2023092800:SNMR:1 hybrid level:1 hour fcst:
6:1638489:d=2023092800:GRLE:1 hybrid level:1 hour fcst:
7:1673516:d=2023092800:REFD:1 hybrid level:1 hour fcst:
8:2471710:d=2023092800:REFD:2 hybrid level:1 hour fcst:
9:3270627:d=2023092800:REFC:entire atmosphere:1 hour fcst:
10:4144435:d=2023092800:VIS:surface:1 hour fcst:

But the metadata isn't quiet the same... they have mangled the attributes in the : seperated attributes.

In [7]:

# We can pull this out into a dataframe, that starts to look a bit like what we got above extracted from the actual grib files
# But this method runs in under a second reading a file that is less than 100k
idxdf = parse_grib_idx(
    basename="gs://global-forecast-system/gfs.20230901/00/atmos/gfs.t00z.pgrb2.0p25.f006"
)
idxdf

Out[7]:

	offset	date	attrs	length	idx_uri	grib_uri
idx
1	0	d=2023090100	PRMSL:mean sea level:6 hour fcst:	877361	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
2	877361	d=2023090100	CLWMR:1 hybrid level:6 hour fcst:	90753	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
3	968114	d=2023090100	ICMR:1 hybrid level:6 hour fcst:	228036	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
4	1196150	d=2023090100	RWMR:1 hybrid level:6 hour fcst:	266763	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
5	1462913	d=2023090100	SNMR:1 hybrid level:6 hour fcst:	81052	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
...	...	...	...	...	...	...
739	524888345	d=2023090100	VGRD:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	660877	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
740	525549222	d=2023090100	TMP:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	656857	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
741	526206079	d=2023090100	HGT:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	1185841	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
742	527391920	d=2023090100	PRES:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	1149141	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
743	528541061	d=2023090100	VWSH:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	505888	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...

743 rows × 6 columns

In [8]:

# Unfortunately, some accumulation variables have duplicate attributes making them
# indesinguishable from the IDX file
idxdf.loc[idxdf['attrs'].duplicated(keep=False), :]

Out[8]:

	offset	date	attrs	length	idx_uri	grib_uri
idx
596	422992587	d=2023090100	APCP:surface:0-6 hour acc fcst:	368264	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
597	423360851	d=2023090100	APCP:surface:0-6 hour acc fcst:	368264	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
598	423729115	d=2023090100	ACPCP:surface:0-6 hour acc fcst:	282099	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...
599	424011214	d=2023090100	ACPCP:surface:0-6 hour acc fcst:	282099	gs://global-forecast-system/gfs.20230901/00/at...	gs://global-forecast-system/gfs.20230901/00/at...

In [9]:

%%time
# What we need is a mapping from our grib/zarr metadata to the attributes in the idx files
# They are unique for each time horizon e.g. you need to build a unique mapping for the 1 hour
# forecast, the 2 hour forecast... the 48 hour forecast.

# let's make one for the 6 hour horizon. This requires reading both the grib and the idx file,
# mapping the data for each grib message in order
mapping = build_idx_grib_mapping(
    basename="gs://global-forecast-system/gfs.20230928/00/atmos/gfs.t00z.pgrb2.0p25.f006",
)
mapping

2024-10-29T11:31:05.156Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 0. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:31:05.342Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 0. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:31:08.248Z MainProcess MainThread WARNING:grib2-to-zarr:Dropping unknown variable in msg# 0. Compare with the grib idx file to help identify it and build an ecCodes local grib definitions file to fix it.
2024-10-29T11:31:09.714Z MainProcess MainThread WARNING:grib-indexing:The idx attribute mapping for gs://global-forecast-system/gfs.20230928/00/atmos/gfs.t00z.pgrb2.0p25.f006 is not unique for 4 variables: ['tp', 'tp', 'acpcp', 'acpcp']
2024-10-29T11:31:09.720Z MainProcess MainThread WARNING:grib-indexing:The grib hierarchy in gs://global-forecast-system/gfs.20230928/00/atmos/gfs.t00z.pgrb2.0p25.f006 is not unique for 29 variables: ['st', 'soilw', 'soill', 'st', 'soilw', 'soill', 'st', 'soilw', 'soill', 'st', 'soilw', 'soill', nan, nan, 'tp', 'tp', 'acpcp', 'acpcp', 'cape', 'cin', nan, 'r', 'r', 'r', 'r', 'cape', 'cin', 'cape', 'cin']

CPU times: user 24.6 s, sys: 2.34 s, total: 26.9 s
Wall time: 1min 35s

Out[9]:

	offset_idx	date	attrs	length_idx	idx_uri	grib_uri	varname	typeOfLevel	stepType	name	level	step	time	valid_time	uri	offset_grib	length_grib	inline_value
idx
1	0	d=2023092800	PRMSL:mean sea level:6 hour fcst:	984804	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	prmsl	meanSea	instant	Pressure reduced to MSL	0.000000e+00	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	0.0	984804.0	None
2	984804	d=2023092800	CLWMR:1 hybrid level:6 hour fcst:	85627	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	clwmr	hybrid	instant	Cloud mixing ratio	1.000000e+00	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	984804.0	85627.0	None
3	1070431	d=2023092800	ICMR:1 hybrid level:6 hour fcst:	244445	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	icmr	hybrid	instant	Ice water mixing ratio	1.000000e+00	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	1070431.0	244445.0	None
4	1314876	d=2023092800	RWMR:1 hybrid level:6 hour fcst:	236628	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	rwmr	hybrid	instant	Rain mixing ratio	1.000000e+00	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	1314876.0	236628.0	None
5	1551504	d=2023092800	SNMR:1 hybrid level:6 hour fcst:	78043	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	snmr	hybrid	instant	Snow mixing ratio	1.000000e+00	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	1551504.0	78043.0	None
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
739	535590536	d=2023092800	VGRD:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	646273	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	v	potentialVorticity	instant	V component of wind	2.147486e+09	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	535590536.0	646273.0	None
740	536236809	d=2023092800	TMP:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	650363	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	t	potentialVorticity	instant	Temperature	2.147486e+09	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	536236809.0	650363.0	None
741	536887172	d=2023092800	HGT:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	1174640	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	gh	potentialVorticity	instant	Geopotential height	2.147486e+09	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	536887172.0	1174640.0	None
742	538061812	d=2023092800	PRES:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	1135133	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	pres	potentialVorticity	instant	Pressure	2.147486e+09	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	538061812.0	1135133.0	None
743	539196945	d=2023092800	VWSH:PV=-2e-06 (Km^2/kg/s) surface:6 hour fcst:	499482	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	vwsh	potentialVorticity	instant	Vertical speed shear	2.147486e+09	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	539196945.0	499482.0	None

743 rows × 18 columns

In [10]:

# Now if we parse the RunTime from the idx file name `gfs.20230901/00/`
# We can build a fully compatible k_index
mapped_index = map_from_index(
    pd.Timestamp("2023-09-01T00"),
    mapping.loc[~mapping["attrs"].duplicated(keep="first"), :],
    idxdf.loc[~idxdf["attrs"].duplicated(keep="first"), :]
)
mapped_index

Out[10]:

	varname	typeOfLevel	stepType	name	step	level	time	valid_time	uri	offset	length	inline_value
0	prmsl	meanSea	instant	Pressure reduced to MSL	0 days 06:00:00	0.000000e+00	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	0	877361	None
1	clwmr	hybrid	instant	Cloud mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	877361	90753	None
2	icmr	hybrid	instant	Ice water mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	968114	228036	None
3	rwmr	hybrid	instant	Rain mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	1196150	266763	None
4	snmr	hybrid	instant	Snow mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	1462913	81052	None
...	...	...	...	...	...	...	...	...	...	...	...	...
733	v	potentialVorticity	instant	V component of wind	0 days 06:00:00	2.147486e+09	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	524888345	660877	None
734	t	potentialVorticity	instant	Temperature	0 days 06:00:00	2.147486e+09	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	525549222	656857	None
735	gh	potentialVorticity	instant	Geopotential height	0 days 06:00:00	2.147486e+09	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	526206079	1185841	None
736	pres	potentialVorticity	instant	Pressure	0 days 06:00:00	2.147486e+09	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	527391920	1149141	None
737	vwsh	potentialVorticity	instant	Vertical speed shear	0 days 06:00:00	2.147486e+09	2023-09-01	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	528541061	505888	None

738 rows × 12 columns

In [11]:

mapping.loc[mapping.varname == "sdswrf"]

Out[11]:

	offset_idx	date	attrs	length_idx	idx_uri	grib_uri	varname	typeOfLevel	stepType	name	level	step	time	valid_time	uri	offset_grib	length_grib	inline_value
idx
653	461523878	d=2023092800	DSWRF:surface:0-6 hour ave fcst:	956316	gs://global-forecast-system/gfs.20230928/00/at...	gs://global-forecast-system/gfs.20230928/00/at...	sdswrf	surface	avg	Surface downward short-wave radiation flux	0.0	0 days 06:00:00	2023-09-28	2023-09-28 06:00:00	gs://global-forecast-system/gfs.20230928/00/at...	461523878.0	956316.0	None

In [12]:

%%time
mapped_index_list = []

deduped_mapping = mapping.loc[~mapping["attrs"].duplicated(keep="first"), :]
for date in pd.date_range("2023-09-01", "2023-09-30"):
  for runtime in range(0,24,6):
    horizon=6
    fname=f"gs://global-forecast-system/gfs.{date.strftime('%Y%m%d')}/{runtime:02}/atmos/gfs.t{runtime:02}z.pgrb2.0p25.f{horizon:03}"

    idxdf = parse_grib_idx(
        basename=fname
    )

    mapped_index = map_from_index(
        pd.Timestamp( date + datetime.timedelta(hours=runtime)),
        deduped_mapping,
        idxdf.loc[~idxdf["attrs"].duplicated(keep="first"), :],
    )
    mapped_index_list.append(mapped_index)

gfs_kind = pd.concat(mapped_index_list)
gfs_kind

CPU times: user 2.97 s, sys: 110 ms, total: 3.08 s
Wall time: 1min 26s

Out[12]:

	varname	typeOfLevel	stepType	name	step	level	time	valid_time	uri	offset	length	inline_value
0	prmsl	meanSea	instant	Pressure reduced to MSL	0 days 06:00:00	0.000000e+00	2023-09-01 00:00:00	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	0	877361	None
1	clwmr	hybrid	instant	Cloud mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01 00:00:00	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	877361	90753	None
2	icmr	hybrid	instant	Ice water mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01 00:00:00	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	968114	228036	None
3	rwmr	hybrid	instant	Rain mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01 00:00:00	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	1196150	266763	None
4	snmr	hybrid	instant	Snow mixing ratio	0 days 06:00:00	1.000000e+00	2023-09-01 00:00:00	2023-09-01 06:00:00	gs://global-forecast-system/gfs.20230901/00/at...	1462913	81052	None
...	...	...	...	...	...	...	...	...	...	...	...	...
733	v	potentialVorticity	instant	V component of wind	0 days 06:00:00	2.147486e+09	2023-09-30 18:00:00	2023-10-01 00:00:00	gs://global-forecast-system/gfs.20230930/18/at...	535413574	651311	None
734	t	potentialVorticity	instant	Temperature	0 days 06:00:00	2.147486e+09	2023-09-30 18:00:00	2023-10-01 00:00:00	gs://global-forecast-system/gfs.20230930/18/at...	536064885	651260	None
735	gh	potentialVorticity	instant	Geopotential height	0 days 06:00:00	2.147486e+09	2023-09-30 18:00:00	2023-10-01 00:00:00	gs://global-forecast-system/gfs.20230930/18/at...	536716145	1175436	None
736	pres	potentialVorticity	instant	Pressure	0 days 06:00:00	2.147486e+09	2023-09-30 18:00:00	2023-10-01 00:00:00	gs://global-forecast-system/gfs.20230930/18/at...	537891581	1135959	None
737	vwsh	potentialVorticity	instant	Vertical speed shear	0 days 06:00:00	2.147486e+09	2023-09-30 18:00:00	2023-10-01 00:00:00	gs://global-forecast-system/gfs.20230930/18/at...	539027540	498795	None

88560 rows × 12 columns

We just aggregated a 120 GFS grib files in 18 seconds!¶

Lets build it back into a data tree!

The reinflate_grib_store interface is pretty opaque but allows building any slice of an FMRC. A good area for future improvement, but for now, since we have just a single 6 hour horizon slice let's build that...

In [13]:

axes = [
  pd.Index(
    [
      pd.timedelta_range(start="0 hours", end="6 hours", freq="6h", closed="right", name="6 hour"),
    ],
    name="step"
  ),
  pd.date_range("2023-09-01T06:00", "2023-10T00:00", freq="360min", name="valid_time")
]
axes

Out[13]:

[Index([[0 days 06:00:00]], dtype='object', name='step'),
 DatetimeIndex(['2023-09-01 06:00:00', '2023-09-01 12:00:00',
                '2023-09-01 18:00:00', '2023-09-02 00:00:00',
                '2023-09-02 06:00:00', '2023-09-02 12:00:00',
                '2023-09-02 18:00:00', '2023-09-03 00:00:00',
                '2023-09-03 06:00:00', '2023-09-03 12:00:00',
                ...
                '2023-09-28 18:00:00', '2023-09-29 00:00:00',
                '2023-09-29 06:00:00', '2023-09-29 12:00:00',
                '2023-09-29 18:00:00', '2023-09-30 00:00:00',
                '2023-09-30 06:00:00', '2023-09-30 12:00:00',
                '2023-09-30 18:00:00', '2023-10-01 00:00:00'],
               dtype='datetime64[ns]', name='valid_time', length=120, freq='360min')]

In [14]:

# It is fast to rebuild the datatree - but lets pull out two varables to look at...

# If you skipped building the deflated store, read it here.
#deflated_gfs_grib_tree_store = read_store("./")

gfs_store = reinflate_grib_store(
    axes=axes,
    aggregation_type=AggregationType.HORIZON,
    chunk_index=gfs_kind.loc[gfs_kind.varname.isin(["sdswrf", "t2m"])],
    zarr_ref_store=deflated_gfs_grib_tree_store
)

/home/rsignell/repos/kerchunk/kerchunk/_grib_idx.py:347: PerformanceWarning: indexing past lexsort depth may impact performance.
  if lookup not in unique_groups:

In [18]:

gfs_dt.sdswrf.avg.surface.sdswrf[0,1,:,:].plot(figsize=(12,8))

Out[18]:

<matplotlib.collections.QuadMesh at 0x7f37d77d1700>

In [19]:

gfs_dt.sdswrf.avg.surface.sdswrf[0,2,:,:].plot(figsize=(12,8))

Out[19]:

<matplotlib.collections.QuadMesh at 0x7f37dd4d38f0>

In [20]:

gfs_dt.sdswrf.avg.surface.sdswrf[0,3,:,:].plot(figsize=(12,8))

Out[20]:

<matplotlib.collections.QuadMesh at 0x7f37d70a2120>

Timeseries¶

In [21]:

# from joblib import parallel_config
# with parallel_config(n_jobs=8):
    #res = gfs_dt.dswrf.avg.surface.dswrf.interp(longitude=[320.5, 300.2], latitude=[20.6, 45.7], method="linear")

In [24]:

%%time
res = gfs_dt.sdswrf.avg.surface.sdswrf.interp(longitude=[320.5], latitude=[20.6], method="linear")
res.plot()

CPU times: user 3.28 s, sys: 407 ms, total: 3.68 s
Wall time: 6.33 s

Out[24]:

[<matplotlib.lines.Line2D at 0x7f37cdf61850>]