<xarray.Dataset>
Dimensions: (dt_fore: 49, x: 31, y: 54)
Coordinates:
dt_calc datetime64[ns] ...
* dt_fore (dt_fore) float64 1.616e+18 ... 1.616e+18
lat (x, y) float64 dask.array<chunksize=(31, 54), meta=np.ndarray>
lon (x, y) float64 dask.array<chunksize=(31, 54), meta=np.ndarray>
Dimensions without coordinates: x, y
Data variables: (12/27)
air_temperature_2m (dt_fore, x, y) float16 dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
air_temperature_500 (dt_fore, x, y) float16 dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
air_temperature_850 (dt_fore, x, y) float16 dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
dewpoint_2m (dt_fore, x, y) float16 dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
geopotential_height_500 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
geopotential_height_850 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
... ...
wind_direction_50 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
wind_speed_10 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
wind_speed_100 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
wind_speed_200 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
wind_speed_300 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
wind_speed_50 (dt_fore, x, y) float64 dask.array<chunksize=(13, 8, 14), meta=np.ndarray> Dimensions:
Coordinates: (4)
dt_calc
()
datetime64[ns]
...
array('2021-03-20T18:00:00.000000000', dtype='datetime64[ns]') dt_fore
(dt_fore)
float64
1.616e+18 1.616e+18 ... 1.616e+18
array([1.616263e+18, 1.616267e+18, 1.616270e+18, 1.616274e+18, 1.616278e+18,
1.616281e+18, 1.616285e+18, 1.616288e+18, 1.616292e+18, 1.616296e+18,
1.616299e+18, 1.616303e+18, 1.616306e+18, 1.616310e+18, 1.616314e+18,
1.616317e+18, 1.616321e+18, 1.616324e+18, 1.616328e+18, 1.616332e+18,
1.616335e+18, 1.616339e+18, 1.616342e+18, 1.616346e+18, 1.616350e+18,
1.616353e+18, 1.616357e+18, 1.616360e+18, 1.616364e+18, 1.616368e+18,
1.616371e+18, 1.616375e+18, 1.616378e+18, 1.616382e+18, 1.616386e+18,
1.616389e+18, 1.616393e+18, 1.616396e+18, 1.616400e+18, 1.616404e+18,
1.616407e+18, 1.616411e+18, 1.616414e+18, 1.616418e+18, 1.616422e+18,
1.616425e+18, 1.616429e+18, 1.616432e+18, 1.616436e+18]) lat
(x, y)
float64
dask.array<chunksize=(31, 54), meta=np.ndarray>
Array Chunk
Bytes 13.08 kiB 13.08 kiB
Shape (31, 54) (31, 54)
Count 2 Tasks 1 Chunks
Type float64 numpy.ndarray
54
31
lon
(x, y)
float64
dask.array<chunksize=(31, 54), meta=np.ndarray>
Array Chunk
Bytes 13.08 kiB 13.08 kiB
Shape (31, 54) (31, 54)
Count 2 Tasks 1 Chunks
Type float64 numpy.ndarray
54
31
Data variables: (27)
air_temperature_2m
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
air_temperature_500
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
air_temperature_850
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
dewpoint_2m
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
geopotential_height_500
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
geopotential_height_850
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
global_horizontal_irradiance
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
high_level_clouds
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
low_level_clouds
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
max_wind_gust_10m
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
medium_level_clouds
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
pressure_mean_sea_level
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
relative_humidity_2m
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
snow_depth
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
surface_temperature
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
total_cloud_cover
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
total_precipitation
(dt_fore, x, y)
float16
dask.array<chunksize=(13, 16, 27), meta=np.ndarray>
Array Chunk
Bytes 160.21 kiB 10.97 kiB
Shape (49, 31, 54) (13, 16, 27)
Count 17 Tasks 16 Chunks
Type float16 numpy.ndarray
54
31
49
wind_direction_10
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_direction_100
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_direction_200
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_direction_300
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_direction_50
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_speed_10
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_speed_100
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_speed_200
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_speed_300
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
wind_speed_50
(dt_fore, x, y)
float64
dask.array<chunksize=(13, 8, 14), meta=np.ndarray>
Array Chunk
Bytes 640.83 kiB 11.38 kiB
Shape (49, 31, 54) (13, 8, 14)
Count 65 Tasks 64 Chunks
Type float64 numpy.ndarray
54
31
49
Attributes: (0)