quality flag for height correction from crossover calibration
standard_name :
status_flag
flag_meanings :
good suspect bad
flag_values :
['0', '1', '2']
valid_min :
0
valid_max :
2
coordinates :
longitude latitude
comment :
Flag indicating the quality of the height correction from crossover calibration. Values of 0, 1, and 2 indicate that the correction is good, suspect, and bad, respectively.
source flag for significant wave height information used to compute sea state bias correction
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
coordinates :
longitude latitude
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor.
good orbit_estimated_during_a_maneuver orbit_interpolated_over_data_gap orbit_extrapolated_for_a_duration_less_than_1_day orbit_extrapolated_for_a_duration_between_1_to_2_days orbit_extrapolated_for_a_duration_greater_than_2_days bad_attitude
flag_values :
['0', '4', '5', '6', '7', '8', '64']
valid_min :
0
valid_max :
64
coordinates :
longitude_nadir latitude_nadir
comment :
Flag indicating the quality of the reconstructed attitude and orbit ephemeris. A value of 0 indicates the reconstructed attitude and orbit ephemeris are both good. Non-zero values less than 64 indicate that the reconstructed attitude is good but there are issues that degrade the quality of the orbit ephemeris. A value of 64 indicates that the reconstructed attitude is degraded or bad.
source flag for significant wave height information used to compute wind speed from KaRIn
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
coordinates :
longitude latitude
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin_2.
Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.
source flag for significant wave height information used to compute wind speed from KaRIn
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
coordinates :
longitude latitude
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin.
source flag for significant wave height information used to compute sea state bias correction
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
coordinates :
longitude latitude
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor_2.
Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.
Geocentric pole tide height. The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth's crust).
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
scale_factor :
0.0001
quality_flag :
ssh_karin_2_qual
valid_min :
-30000
valid_max :
-15000
coordinates :
longitude latitude
comment :
Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.
Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).
Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.
wet troposphere vertical correction from radiometer data
source :
Advanced Microwave Radiometer
units :
m
scale_factor :
0.0001
quality_flag :
ssh_karin_qual
valid_min :
-10000
valid_max :
0
coordinates :
longitude latitude
comment :
Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.
Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).
wet troposphere vertical correction from weather model data
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
scale_factor :
0.0001
quality_flag :
ssh_karin_2_qual
valid_min :
-10000
valid_max :
0
coordinates :
longitude latitude
comment :
Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.
static inverse barometer effect on sea surface height
units :
m
scale_factor :
0.0001
valid_min :
-2000
valid_max :
2000
coordinates :
longitude latitude
comment :
Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.
Sea state bias correction used to compute ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).
Sea state bias correction used to compute ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.
1-sigma uncertainty computed analytically using observed correlation and effective number of looks. Two-sided error bars (volumetric_correlation-volumetric_correlation_uncert, volumetric_correlation+volumetric_correlation_uncert) include 68% of probability distribution.
Height correction from crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.
Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).
KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.
heading of the spacecraft Earth-relative velocity vector
units :
degrees
scale_factor :
1e-06
quality_flag :
orbit_qual
valid_min :
0
valid_max :
359999999
coordinates :
longitude_nadir latitude_nadir
comment :
Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.
Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).
weighted average longitude of samples used to compute SSH
standard_name :
longitude
units :
degrees_east
scale_factor :
1e-06
valid_min :
0
valid_max :
359999999
comment :
Longitude of measurement. East longitude relative to Greenwich meridian. This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.
Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).
Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).
Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).
Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).
Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).
weighted average latitude of samples used to compute SSH
standard_name :
latitude
units :
degrees_north
scale_factor :
1e-06
valid_min :
-80000000
valid_max :
80000000
comment :
Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude. This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.
Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels). The value may be negative due to noise subtraction. The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).
Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels). The value may be negative due to noise subtraction. The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).
two-way atmospheric correction to sigma0 from radiometer data
source :
Advanced Microwave Radiometer
units :
1
quality_flag :
sig0_karin_qual
valid_min :
1.
valid_max :
10.
coordinates :
longitude latitude
comment :
Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.
two-way atmospheric correction to sigma0 from model
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
1
quality_flag :
sig0_karin_2_qual
valid_min :
1.
valid_max :
10.
coordinates :
longitude latitude
comment :
Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.
Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.
Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].
Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
latitude_nadir
(num_lines)
float64
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
latitude of satellite nadir point
standard_name :
latitude
units :
degrees_north
quality_flag :
orbit_qual
valid_min :
-80000000
valid_max :
80000000
comment :
Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
longitude
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
longitude (degrees East)
standard_name :
longitude
units :
degrees_east
valid_min :
0
valid_max :
359999999
comment :
Longitude of measurement. East longitude relative to Greenwich meridian.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
longitude_nadir
(num_lines)
float64
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
longitude of satellite nadir point
standard_name :
longitude
units :
degrees_east
quality_flag :
orbit_qual
valid_min :
0
valid_max :
359999999
comment :
Longitude (degrees east of Grenwich meridian) of the satellite nadir point.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ancillary_surface_classification_flag
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
surface classification
standard_name :
status_flag
source :
MODIS/GlobCover
institution :
European Space Agency
flag_meanings :
open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin
flag_values :
['0', '1', '2', '3', '4', '5', '6']
valid_min :
0
valid_max :
6
comment :
7-state surface type classification computed from a mask built with MODIS and GlobCover data.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
cross_track_angle
(num_lines)
float64
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
cross-track angle from true north
units :
degrees
valid_min :
0
valid_max :
359999999
comment :
Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
cross_track_distance
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
cross track distance
units :
m
valid_min :
-75000.
valid_max :
75000.
comment :
Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
dac
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
dynamic atmospheric correction
source :
MOG2D
institution :
LEGOS/CNES/CLS
units :
m
valid_min :
-12000
valid_max :
12000
comment :
Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
depth_or_elevation
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
ocean depth or land elevation
source :
Altimeter Corrected Elevations, version 2
institution :
European Space Agency
units :
m
valid_min :
-12000
valid_max :
10000
comment :
Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
distance_to_coast
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
distance to coast
source :
MODIS/GlobCover
institution :
European Space Agency
units :
m
valid_min :
-21000
valid_max :
21000
comment :
Approximate distance to the nearest coast point along the Earth surface.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
doppler_centroid
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
doppler centroid estimated by KaRIn
units :
1/s
valid_min :
-30000
valid_max :
30000
comment :
Doppler centroid (in hertz or cycles per second) estimated by KaRIn.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
dynamic_ice_flag
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
dynamic ice flag
standard_name :
status_flag
source :
EUMETSAT Ocean and Sea Ice Satellite Applications Facility
institution :
EUMETSAT
flag_meanings :
no_ice probable_ice ice no_data
flag_values :
['0', '1', '2', '3']
valid_min :
0
valid_max :
3
comment :
Dynamic ice flag for the location of the KaRIn measurement.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
geoid
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
geoid height
standard_name :
geoid_height_above_reference_ellipsoid
source :
EGM2008 (Pavlis et al., 2012)
units :
m
valid_min :
-1500000
valid_max :
1500000
comment :
Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
heading_to_coast
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
heading to coast
units :
degrees
valid_min :
0
valid_max :
35999
comment :
Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
height_cor_xover
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
height correction from crossover calibration
units :
m
quality_flag :
height_cor_xover_qual
valid_min :
-100000
valid_max :
100000
comment :
Height correction from crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
height_cor_xover_qual
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
quality flag for height correction from crossover calibration
standard_name :
status_flag
flag_meanings :
good suspect bad
flag_values :
['0', '1', '2']
valid_min :
0
valid_max :
2
comment :
Flag indicating the quality of the height correction from crossover calibration. Values of 0, 1, and 2 indicate that the correction is good, suspect, and bad, respectively.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
ice_conc
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
concentration of sea ice
standard_name :
sea_ice_area_fraction
source :
EUMETSAT Ocean and Sea Ice Satellite Applications Facility
institution :
EUMETSAT
units :
%
valid_min :
0
valid_max :
10000
comment :
Concentration of sea ice from model.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
internal_tide_hret
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
coherent internal tide (HRET)
source :
Zaron (2019)
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
internal_tide_sol2
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
coherent internal tide (Model 2)
source :
None
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Coherent internal tide. This value is currently always defaulted.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
inv_bar_cor
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
static inverse barometer effect on sea surface height
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
iono_cor_gim_ka
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
ionosphere vertical correction
source :
Global Ionosphere Maps
institution :
JPL
units :
m
quality_flag :
ssh_karin_2_qual
valid_min :
-5000
valid_max :
0
comment :
Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
latitude_avg_ssh
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
weighted average latitude of samples used to compute SSH
standard_name :
latitude
units :
degrees_north
valid_min :
-80000000
valid_max :
80000000
comment :
Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude. This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
load_tide_fes
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
geocentric load tide height (FES)
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
load_tide_got
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
geocentric load tide height (GOT)
source :
GOT4.10c (Ray, 2013)
institution :
GSFC
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Geocentric load tide height. The effect of the ocean tide loading of the Earth's crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
longitude_avg_ssh
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
weighted average longitude of samples used to compute SSH
standard_name :
longitude
units :
degrees_east
valid_min :
0
valid_max :
359999999
comment :
Longitude of measurement. East longitude relative to Greenwich meridian. This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
mean_dynamic_topography
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
mean dynamic topography
source :
CNES_CLS_2022
institution :
CNES/CLS
units :
m
valid_min :
-30000
valid_max :
30000
comment :
Mean dynamic topography above the geoid.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
mean_dynamic_topography_uncert
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
mean dynamic topography accuracy
source :
CNES_CLS_2022
institution :
CNES/CLS
units :
m
valid_min :
0
valid_max :
10000
comment :
Accuracy of the mean dynamic topography.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
mean_sea_surface_cnescls
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
mean sea surface height (CNES/CLS)
source :
CNES_CLS_2022
institution :
CNES/CLS
units :
m
valid_min :
-1500000
valid_max :
1500000
comment :
Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
mean_sea_surface_cnescls_uncert
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
mean sea surface height accuracy (CNES/CLS)
source :
CNES_CLS_2022
institution :
CNES/CLS
units :
m
valid_min :
0
valid_max :
10000
comment :
Accuracy of the mean sea surface height (mean_sea_surface_cnescls).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
mean_sea_surface_dtu
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
mean sea surface height (DTU)
source :
DTU18
institution :
DTU
units :
m
valid_min :
-1500000
valid_max :
1500000
comment :
Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
mean_sea_surface_dtu_uncert
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
mean sea surface height accuracy (DTU)
source :
DTU18
institution :
DTU
units :
m
valid_min :
0
valid_max :
10000
comment :
Accuracy of the mean sea surface height (mean_sea_surface_dtu)
Sea surface wind wave mean period from model spectral density second moment.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
model_dry_tropo_cor
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
dry troposphere vertical correction
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
quality_flag :
ssh_karin_2_qual
valid_min :
-30000
valid_max :
-15000
comment :
Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
model_wet_tropo_cor
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
wet troposphere vertical correction from weather model data
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
quality_flag :
ssh_karin_2_qual
valid_min :
-10000
valid_max :
0
comment :
Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
num_pt_avg
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
number of samples averaged
units :
1
valid_min :
0
valid_max :
289
comment :
Number of native unsmoothed, beam-combined KaRIn samples averaged.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
obp_ref_surface
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
height of reference surface used by on-board-processor
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ocean_tide_eq
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
equilibrium long-period ocean tide height
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ocean_tide_fes
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
geocentric ocean tide height (FES)
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-300000
valid_max :
300000
comment :
Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ocean_tide_got
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
geocentric ocean tide height (GOT)
source :
GOT4.10c (Ray, 2013)
institution :
GSFC
units :
m
valid_min :
-300000
valid_max :
300000
comment :
Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ocean_tide_non_eq
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
non-equilibrium long-period ocean tide height
source :
FES2014b (Carrere et al., 2016)
institution :
LEGOS/CNES
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
orbit_alt_rate
(num_lines)
float64
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
orbital altitude rate with respect to mean sea surface
units :
m/s
valid_min :
-3500
valid_max :
3500
comment :
Orbital altitude rate with respect to the mean sea surface.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
orbit_qual
(num_lines)
float32
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
orbit quality flag
standard_name :
status_flag
flag_meanings :
good orbit_estimated_during_a_maneuver orbit_interpolated_over_data_gap orbit_extrapolated_for_a_duration_less_than_1_day orbit_extrapolated_for_a_duration_between_1_to_2_days orbit_extrapolated_for_a_duration_greater_than_2_days bad_attitude
flag_values :
['0', '4', '5', '6', '7', '8', '64']
valid_min :
0
valid_max :
64
comment :
Flag indicating the quality of the reconstructed attitude and orbit ephemeris. A value of 0 indicates the reconstructed attitude and orbit ephemeris are both good. Non-zero values less than 64 indicate that the reconstructed attitude is good but there are issues that degrade the quality of the orbit ephemeris. A value of 64 indicates that the reconstructed attitude is degraded or bad.
Array
Chunk
Bytes
38.54 kiB
38.54 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
phase_bias_ref_surface
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
height of reference surface used for phase bias calculation
units :
m
valid_min :
-15000000
valid_max :
150000000
comment :
Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
polarization_karin
(num_lines, num_sides)
object
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
polarization for each side of the KaRIn swath
comment :
H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.
Array
Chunk
Bytes
154.16 kiB
154.16 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
object numpy.ndarray
pole_tide
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
geocentric pole tide height
source :
Wahr (1985) and Desai et al. (2015)
units :
m
valid_min :
-2000
valid_max :
2000
comment :
Geocentric pole tide height. The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth's crust).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rad_cloud_liquid_water
(num_lines, num_sides)
float64
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
liquid water content from radiometer
standard_name :
atmosphere_cloud_liquid_water_content
source :
Advanced Microwave Radiometer
units :
kg/m^2
valid_min :
0
valid_max :
2000
comment :
Integrated cloud liquid water content from radiometer measurements.
Array
Chunk
Bytes
154.16 kiB
154.16 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rad_surface_type_flag
(num_lines, num_sides)
float32
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
radiometer surface type flag
standard_name :
status_flag
source :
Advanced Microwave Radiometer
flag_meanings :
open_ocean coastal_ocean land
flag_values :
['0', '1', '2']
valid_min :
0
valid_max :
2
comment :
Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
rad_tmb_187
(num_lines, num_sides)
float64
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
radiometer main beam brightness temperature at 18.7 GHz
standard_name :
toa_brightness_temperature
source :
Advanced Microwave Radiometer
units :
K
valid_min :
13000
valid_max :
25000
comment :
Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).
Array
Chunk
Bytes
154.16 kiB
154.16 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rad_tmb_238
(num_lines, num_sides)
float64
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
radiometer main beam brightness temperature at 23.8 GHz
standard_name :
toa_brightness_temperature
source :
Advanced Microwave Radiometer
units :
K
valid_min :
13000
valid_max :
25000
comment :
Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).
Array
Chunk
Bytes
154.16 kiB
154.16 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rad_tmb_340
(num_lines, num_sides)
float64
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
radiometer main beam brightness temperature at 34.0 GHz
standard_name :
toa_brightness_temperature
source :
Advanced Microwave Radiometer
units :
K
valid_min :
15000
valid_max :
28000
comment :
Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).
Array
Chunk
Bytes
154.16 kiB
154.16 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rad_water_vapor
(num_lines, num_sides)
float64
dask.array<chunksize=(9866, 2), meta=np.ndarray>
long_name :
water vapor content from radiometer
standard_name :
atmosphere_water_vapor_content
source :
Advanced Microwave Radiometer
units :
kg/m^2
valid_min :
0
valid_max :
15000
comment :
Integrated water vapor content from radiometer measurements.
Array
Chunk
Bytes
154.16 kiB
154.16 kiB
Shape
(9866, 2)
(9866, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rad_wet_tropo_cor
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
wet troposphere vertical correction from radiometer data
source :
Advanced Microwave Radiometer
units :
m
quality_flag :
ssh_karin_qual
valid_min :
-10000
valid_max :
0
comment :
Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
rain_flag
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
rain flag
standard_name :
status_flag
flag_meanings :
no_rain probable_rain rain no_data
flag_values :
['0', '1', '2', '3']
valid_min :
0
valid_max :
3
comment :
Flag indicates that signal is attenuated, probably from rain.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
rain_rate
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
rain rate from weather model
source :
European Centre for Medium-Range Weather Forecasts
KMSF attitude roll angle; positive values move the +y antenna down.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
sc_yaw
(num_lines)
float64
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
yaw of the spacecraft
standard_name :
platform_yaw_angle
units :
degrees
quality_flag :
orbit_qual
valid_min :
-1799999
valid_max :
1800000
comment :
KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
sea_state_bias_cor
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
sea state bias correction
source :
CNES
units :
m
valid_min :
-6000
valid_max :
0
comment :
Sea state bias correction used to compute ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
sea_state_bias_cor_2
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
sea state bias correction
source :
CNES
units :
m
valid_min :
-6000
valid_max :
0
comment :
Sea state bias correction used to compute ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
sig0_cor_atmos_model
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
two-way atmospheric correction to sigma0 from model
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
1
quality_flag :
sig0_karin_2_qual
valid_min :
1.
valid_max :
10.
comment :
Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
sig0_cor_atmos_rad
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
two-way atmospheric correction to sigma0 from radiometer data
source :
Advanced Microwave Radiometer
units :
1
quality_flag :
sig0_karin_qual
valid_min :
1.
valid_max :
10.
comment :
Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
sig0_karin
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
normalized radar cross section (sigma0) from KaRIn
Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels). The value may be negative due to noise subtraction. The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
sig0_karin_2
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
normalized radar cross section (sigma0) from KaRIn
Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels). The value may be negative due to noise subtraction. The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).
Quality flag for sigma0 from KaRIn in sig0_karin_qual variable.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
sig0_karin_uncert
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
1-sigma uncertainty on sigma0 from KaRIn
units :
1
valid_min :
0.
valid_max :
1000.
comment :
1-sigma uncertainty on sigma0 from KaRIn.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
solid_earth_tide
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
solid Earth tide height
source :
Cartwright and Taylor (1971) and Cartwright and Edden (1973)
units :
m
valid_min :
-10000
valid_max :
10000
comment :
Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ssh_karin
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
sea surface height
standard_name :
sea surface height above reference ellipsoid
units :
m
quality_flag :
ssh_karin_qual
valid_min :
-15000000
valid_max :
150000000
comment :
Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
ssh_karin_2
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
sea surface height
standard_name :
sea surface height above reference ellipsoid
units :
m
quality_flag :
ssh_karin_2_qual
valid_min :
-15000000
valid_max :
150000000
comment :
Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).
Quality flag for significant wave height from KaRIn in swh_karin_qual variable.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
swh_karin_uncert
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
1-sigma uncertainty on significant wave height from KaRIn
units :
m
valid_min :
0
valid_max :
25000
comment :
1-sigma uncertainty on significant wave height from KaRIn.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
swh_model
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
significant wave height from wave model
standard_name :
sea_surface_wave_significant_height
source :
European Centre for Medium-Range Weather Forecasts
institution :
ECMWF
units :
m
valid_min :
0
valid_max :
15000
comment :
Significant wave height from model.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
swh_nadir_altimeter
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
significant wave height from nadir altimeter
standard_name :
sea_surface_wave_significant_height
units :
m
valid_min :
0
valid_max :
15000
comment :
Significant wave height from nadir altimeter.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
swh_ssb_cor_source
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
source flag for significant wave height information used to compute sea state bias correction
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
swh_ssb_cor_source_2
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
source flag for significant wave height information used to compute sea state bias correction
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor_2.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
swh_wind_speed_karin_source
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
source flag for significant wave height information used to compute wind speed from KaRIn
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
swh_wind_speed_karin_source_2
(num_lines, num_pixels)
float32
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
source flag for significant wave height information used to compute wind speed from KaRIn
standard_name :
status_flag
flag_meanings :
nadir_altimeter karin model
flag_masks :
['1', '2', '4']
valid_min :
0
valid_max :
7
comment :
Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin_2.
Array
Chunk
Bytes
2.60 MiB
2.60 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
time
(num_lines)
datetime64[ns]
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
time in UTC
standard_name :
time
tai_utc_difference :
37.
leap_second :
0000-00-00T00:00:00Z
comment :
Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
datetime64[ns] numpy.ndarray
time_tai
(num_lines)
datetime64[ns]
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
time in TAI
standard_name :
time
tai_utc_difference :
37.
comment :
Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
datetime64[ns] numpy.ndarray
velocity_heading
(num_lines)
float64
dask.array<chunksize=(9866,), meta=np.ndarray>
long_name :
heading of the spacecraft Earth-relative velocity vector
units :
degrees
quality_flag :
orbit_qual
valid_min :
0
valid_max :
359999999
comment :
Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.
Array
Chunk
Bytes
77.08 kiB
77.08 kiB
Shape
(9866,)
(9866,)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
volumetric_correlation
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
volumetric correlation
units :
1
quality_flag :
ssh_karin_2_qual
valid_min :
0
valid_max :
20000
comment :
Volumetric correlation.
Array
Chunk
Bytes
5.19 MiB
5.19 MiB
Shape
(9866, 69)
(9866, 69)
Dask graph
1 chunks in 2 graph layers
Data type
float64 numpy.ndarray
volumetric_correlation_uncert
(num_lines, num_pixels)
float64
dask.array<chunksize=(9866, 69), meta=np.ndarray>
long_name :
volumetric correlation standard deviation
units :
1
quality_flag :
ssh_karin_2_qual
valid_min :
0
valid_max :
10000
comment :
1-sigma uncertainty computed analytically using observed correlation and effective number of looks. Two-sided error bars (volumetric_correlation-volumetric_correlation_uncert, volumetric_correlation+volumetric_correlation_uncert) include 68% of probability distribution.
7-day median filtered. Switch from 25 km NASA team ice (http://nsidc.org/data/nsidc-0051.html) to 50 km NCEP ice (http://polar.ncep.noaa.gov/seaice) after 2004 results in artificial increase in ice coverage.
Single-sensor Pathfinder 5.0/5.1 AVHRR SSTs used until 2005; two AVHRRs at a time are used 2007 onward. Sea ice and in-situ data used also are near real time quality for recent period. SST (bulk) is at ambiguous depth because multiple types of observations are used.
NOAA/NCEI 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2 - Final
id :
NCEI-L4LRblend-GLOB-AVHRR_OI
references :
Reynolds, et al.(2009) What is New in Version 2. Available at http://www.ncdc.noaa.gov/sites/default/files/attachments/Reynolds2009_oisst_daily_v02r00_version2-features.pdf;Daily 1/4 Degree Optimum Interpolation Sea Surface Temperature (OISST) - Climate Algorithm Theoretical Basis Document, NOAA Climate Data Record Program CDRP-ATBD-0303 Rev. 2 (2013). Available at http://www1.ncdc.noaa.gov/pub/data/sds/cdr/CDRs/Sea_Surface_Temperature_Optimum_Interpolation/AlgorithmDescription.pdf.
institution :
NOAA/NESDIS/NCEI
creator_name :
NCEI Products and Services
creator_email :
ncei.orders@noaa.gov
creator_url :
http://www.ncdc.noaa.gov/oisst
gds_version_id :
v2.0r5
netcdf_version_id :
4.3.2
date_created :
20200116T000000Z
product_version :
Version 2.0
history :
2015-10-28: Modified format and attributes with NCO to match the GDS 2.0 rev 5 specification.
The daily OISST version 2.0 data contained in this file are the same as those in the equivalent GDS 1.0 file.
summary :
NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version 2, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (AVHRR) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs. A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002.
acknowledgement :
This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program. Cite this dataset when used as a source. The recommended citation and DOI depends on the data center from which the files were acquired. For data accessed from NOAA in near real-time or from the GHRSST LTSRF, cite as: Richard W. Reynolds, Viva F. Banzon, and NOAA CDR Program (2008): NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. [indicate subset used]. NOAA National Centers for Environmental Information. http://doi.org/doi:10.7289/V5SQ8XB5 [access date]. For data accessed from the NASA PO.DAAC, cite as: Richard W. Reynolds, Viva F. Banzon, and NOAA CDR Program (2008): NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. [indicate subset used]. PO.DAAC, CA, USA. http://doi.org/10.5067/GHAAO-4BC01 [access date].
license :
No constraints on data access or use.
project :
Group for High Resolution Sea Surface Temperature
publisher_name :
NCEI Products and Services
publisher_email :
ncei.orders@noaa.gov
publisher_url :
http://www.ncdc.noaa.gov/oisst
naming_authority :
org.ghrsst
platform :
None
sensor :
None
geospatial_lat_units :
degrees_north
geospatial_lat_resolution :
0.25
geospatial_lon_units :
degrees_east
geospatial_lon_resolution :
0.25
Metadata_Conventions :
ACDD-1.3
Metadata_Link. :
http://doi.org/10.7289/V5SQ8XB5
keywords :
Oceans>Ocean Temperature>Sea Surface Temperature
keywords_vocabulary :
NASA Global Change Master Directory (GCMD) Science Keywords, Version 8.1