10m_u_component_of_wind
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- 10 metre U wind component
- short_name :
- u10
- units :
- m s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
10m_v_component_of_wind
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- 10 metre V wind component
- short_name :
- v10
- units :
- m s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
2m_dewpoint_temperature
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- 2 metre dewpoint temperature
- short_name :
- d2m
- units :
- K
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
2m_temperature
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- 2 metre temperature
- short_name :
- t2m
- units :
- K
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
angle_of_sub_gridscale_orography
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Angle of sub-gridscale orography
- short_name :
- anor
- units :
- radians
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
anisotropy_of_sub_gridscale_orography
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Anisotropy of sub-gridscale orography
- short_name :
- isor
- units :
- ~
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
boundary_layer_height
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Boundary layer height
- short_name :
- blh
- units :
- m
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
geopotential
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- Geopotential
- short_name :
- z
- standard_name :
- geopotential
- units :
- m**2 s**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
geopotential_at_surface
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Geopotential
- short_name :
- z
- standard_name :
- geopotential
- units :
- m**2 s**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
high_vegetation_cover
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- High vegetation cover
- short_name :
- cvh
- units :
- (0 - 1)
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
lake_cover
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Lake cover
- short_name :
- cl
- units :
- (0 - 1)
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
land_sea_mask
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Land-sea mask
- short_name :
- lsm
- standard_name :
- land_binary_mask
- units :
- (0 - 1)
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
leaf_area_index_high_vegetation
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Leaf area index, high vegetation
- short_name :
- lai_hv
- units :
- m**2 m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
leaf_area_index_low_vegetation
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Leaf area index, low vegetation
- short_name :
- lai_lv
- units :
- m**2 m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
low_vegetation_cover
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Low vegetation cover
- short_name :
- cvl
- units :
- (0 - 1)
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_sea_level_pressure
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean sea level pressure
- short_name :
- msl
- standard_name :
- air_pressure_at_mean_sea_level
- units :
- Pa
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_surface_latent_heat_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean surface latent heat flux
- short_name :
- mslhf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_surface_net_long_wave_radiation_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean surface net long-wave radiation flux
- short_name :
- msnlwrf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_surface_net_short_wave_radiation_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean surface net short-wave radiation flux
- short_name :
- msnswrf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_surface_sensible_heat_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean surface sensible heat flux
- short_name :
- msshf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_top_downward_short_wave_radiation_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean top downward short-wave radiation flux
- short_name :
- mtdwswrf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_top_net_long_wave_radiation_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean top net long-wave radiation flux
- short_name :
- mtnlwrf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_top_net_short_wave_radiation_flux
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean top net short-wave radiation flux
- short_name :
- mtnswrf
- units :
- W m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
mean_vertically_integrated_moisture_divergence
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Mean vertically integrated moisture divergence
- short_name :
- mvimd
- units :
- kg m**-2 s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
potential_vorticity
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- Potential vorticity
- short_name :
- pv
- units :
- K m**2 kg**-1 s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
sea_ice_cover
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Sea ice area fraction
- short_name :
- siconc
- standard_name :
- sea_ice_area_fraction
- units :
- (0 - 1)
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
sea_surface_temperature
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Sea surface temperature
- short_name :
- sst
- units :
- K
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
slope_of_sub_gridscale_orography
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Slope of sub-gridscale orography
- short_name :
- slor
- units :
- ~
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
snow_depth
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Snow depth
- short_name :
- sd
- standard_name :
- lwe_thickness_of_surface_snow_amount
- units :
- m of water equivalent
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
soil_type
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Soil type
- short_name :
- slt
- units :
- ~
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
specific_humidity
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- Specific humidity
- short_name :
- q
- standard_name :
- specific_humidity
- units :
- kg kg**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
standard_deviation_of_filtered_subgrid_orography
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Standard deviation of filtered subgrid orography
- short_name :
- sdfor
- units :
- m
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
standard_deviation_of_orography
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Standard deviation of orography
- short_name :
- sdor
- units :
- m
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
surface_pressure
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Surface pressure
- short_name :
- sp
- standard_name :
- surface_air_pressure
- units :
- Pa
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
temperature
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- Temperature
- short_name :
- t
- standard_name :
- air_temperature
- units :
- K
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
total_cloud_cover
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Total cloud cover
- short_name :
- tcc
- standard_name :
- cloud_area_fraction
- units :
- (0 - 1)
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
total_column_water
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Total column water
- short_name :
- tcw
- units :
- kg m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
total_column_water_vapour
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Total column vertically-integrated water vapour
- short_name :
- tcwv
- standard_name :
- lwe_thickness_of_atmosphere_mass_content_of_water_vapor
- units :
- kg m**-2
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
total_precipitation_12hr
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Total precipitation
- short_name :
- tp
- units :
- m
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
total_precipitation_24hr
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Total precipitation
- short_name :
- tp
- units :
- m
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
total_precipitation_6hr
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Total precipitation
- short_name :
- tp
- units :
- m
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
type_of_high_vegetation
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Type of high vegetation
- short_name :
- tvh
- units :
- ~
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
type_of_low_vegetation
(latitude, longitude)
float32
dask.array<chunksize=(721, 1440), meta=np.ndarray>
- long_name :
- Type of low vegetation
- short_name :
- tvl
- units :
- ~
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 3.96 MiB | \n",
" 3.96 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (721, 1440) | \n",
" (721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
u_component_of_wind
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- U component of wind
- short_name :
- u
- standard_name :
- eastward_wind
- units :
- m s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
v_component_of_wind
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- V component of wind
- short_name :
- v
- standard_name :
- northward_wind
- units :
- m s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
vertical_velocity
(time, level, latitude, longitude)
float32
dask.array<chunksize=(48, 13, 721, 1440), meta=np.ndarray>
- long_name :
- Vertical velocity
- short_name :
- w
- standard_name :
- lagrangian_tendency_of_air_pressure
- units :
- Pa s**-1
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 4.59 TiB | \n",
" 2.41 GiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 13, 721, 1440) | \n",
" (48, 13, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
volumetric_soil_water_layer_1
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Volumetric soil water layer 1
- short_name :
- swvl1
- units :
- m**3 m**-3
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
volumetric_soil_water_layer_2
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Volumetric soil water layer 2
- short_name :
- swvl2
- units :
- m**3 m**-3
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
volumetric_soil_water_layer_3
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Volumetric soil water layer 3
- short_name :
- swvl3
- units :
- m**3 m**-3
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"
volumetric_soil_water_layer_4
(time, latitude, longitude)
float32
dask.array<chunksize=(48, 721, 1440), meta=np.ndarray>
- long_name :
- Volumetric soil water layer 4
- short_name :
- swvl4
- units :
- m**3 m**-3
\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" | \n",
" Array | \n",
" Chunk | \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" Bytes | \n",
" 361.80 GiB | \n",
" 190.11 MiB | \n",
" \n",
" \n",
" \n",
" Shape | \n",
" (93544, 721, 1440) | \n",
" (48, 721, 1440) | \n",
" \n",
" \n",
" Dask graph | \n",
" 1949 chunks in 2 graph layers | \n",
" \n",
" \n",
" Data type | \n",
" float32 numpy.ndarray | \n",
" \n",
" \n",
" \n",
" | \n",
" \n",
" \n",
" | \n",
"
\n",
"