SPL4SMGP.005_3-hourly_data
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/SPL4SMGP.005_3-hourly_data.yaml")
ds=cat.netcdf.read()Metadata
| title | SPL4SMGP.005_3-hourly_data |
| location | /shared/land/SMAP/SPL4SMGP.005/3-hourly |
| tags | SMAP,soil_moisture,analysis,level_4 |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/SPL4SMGP.005_3-hourly_data.yaml |
| last updated | 2022-03-09 |
Dataset Contents
<xarray.Dataset>
Dimensions: (interval: 2928, x: 3856, y: 1624)
Dimensions without coordinates: interval, x, y
Data variables:
baseflow_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
heat_flux_ground (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
heat_flux_latent (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
heat_flux_sensible (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
height_lowatmmodlay (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
land_evapotranspiration_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
land_fraction_saturated (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
land_fraction_snow_covered (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
land_fraction_unsaturated (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
land_fraction_wilting (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
leaf_area_index (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
net_downward_longwave_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
net_downward_shortwave_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
overland_runoff_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
precipitation_total_surface_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
radiation_longwave_absorbed_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
radiation_shortwave_downward_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_profile (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_profile_pctl (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_profile_wetness (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_rootzone (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_rootzone_pctl (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_rootzone_wetness (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_surface (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
sm_surface_wetness (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
snow_depth (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
snow_mass (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
snow_melt_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
snowfall_surface_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_temp_layer1 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_temp_layer2 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_temp_layer3 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_temp_layer4 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_temp_layer5 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_temp_layer6 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
soil_water_infiltration_flux (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
specific_humidity_lowatmmodlay (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
surface_pressure (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
surface_temp (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
temp_lowatmmodlay (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
vegetation_greenness_fraction (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
windspeed_lowatmmodlay (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>xarray.Dataset
- interval: 2928
- x: 3856
- y: 1624
- baseflow_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Baseflow
- valid_max :
- 0.01
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - heat_flux_ground(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Downward ground heat flux into layer 1 of soil heat diffusion model
- valid_max :
- 1000.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- -1000.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - heat_flux_latent(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Latent heat flux from land (excluding areas of open water and permanent ice)
- valid_max :
- 3000.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- -2500.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - heat_flux_sensible(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Sensible heat flux from land (excluding areas of open water and permanent ice)
- valid_max :
- 3000.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- -2500.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - height_lowatmmodlay(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Center height of lowest atmospheric model layer
- valid_max :
- 80.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- m
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 40.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - land_evapotranspiration_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Evapotranspiration from land (excluding areas of open water and permanent ice)
- valid_max :
- 0.001
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- -0.001
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - land_fraction_saturated(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Fractional land area that is saturated and snow-free (excluding areas of open water and permanent ice)
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - land_fraction_snow_covered(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Fractional land area that is snow-covered (excluding areas of open water and permanent ice)
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - land_fraction_unsaturated(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Fractional land area that is unsaturated (but non-wilting) and snow-free (excluding areas of open water and permanent ice)
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x08\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - land_fraction_wilting(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Fractional land area that is wilting and snow-free (excluding areas of open water and permanent ice)
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x08\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - leaf_area_index(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Vegetation leaf area index
- valid_max :
- 10.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x08\x13\x14}\x7f']
- units :
- m2 m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - net_downward_longwave_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Net downward longwave flux over land (excluding areas of open water and permanent ice)
- valid_max :
- 200.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- -1000.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - net_downward_shortwave_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Net downward shortwave flux over land (excluding areas of open water and permanent ice)
- valid_max :
- 1365.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - overland_runoff_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Overland (surface) runoff (including throughflow - excluding areas of open water and permanent ice)
- valid_max :
- 0.05
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - precipitation_total_surface_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Total surface precipitation (incl. snow fall)
- valid_max :
- 0.05
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - radiation_longwave_absorbed_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Absorbed (downward) longwave radiation at the surface
- valid_max :
- 800.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 35.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - radiation_shortwave_downward_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Downward shortwave flux incident on the surface
- valid_max :
- 1500.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- W m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_profile(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Total profile soil moisture (0 cm to model bedrock depth)
- valid_max :
- 0.9
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- m3 m-3
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_profile_pctl(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Total profile soil moisture (0 cm to model bedrock depth; percentile units)
- valid_max :
- 100.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- percent
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_profile_wetness(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Total profile soil wetness (0 cm to model bedrock depth; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively. See also Appendix E in the PSD.
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_rootzone(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Root zone soil moisture (0-100 cm)
- valid_max :
- 0.9
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- m3 m-3
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_rootzone_pctl(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Root zone soil moisture (0-100 cm; percentile units)
- valid_max :
- 100.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- percent
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_rootzone_wetness(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Root zone soil wetness (0-100 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively. See also Appendix E in the PSD.
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_surface(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Top layer soil moisture (0-5 cm)
- valid_max :
- 0.9
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- m3 m-3
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - sm_surface_wetness(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Top layer soil wetness (0-5 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively. See also Appendix E in the PSD.
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x08\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - snow_depth(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Snow depth within snow-covered land fraction of grid cell (excluding areas of open water and permanent ice)
- valid_max :
- 50.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- m
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - snow_mass(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Average snow mass (or snow water equivalent) over land fraction of grid cell (excluding areas of open water and permanent ice)
- valid_max :
- 10000.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - snow_melt_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Snowmelt (excluding areas of open water and permanent ice)
- valid_max :
- 0.05
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - snowfall_surface_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Surface snow fall
- valid_max :
- 0.05
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_temp_layer1(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil temperature in layer 1 of soil heat diffusion model
- valid_max :
- 340.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 210.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_temp_layer2(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil temperature in layer 2 of soil heat diffusion model
- valid_max :
- 330.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 210.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_temp_layer3(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil temperature in layer 3 of soil heat diffusion model
- valid_max :
- 325.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 215.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_temp_layer4(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil temperature in layer 4 of soil heat diffusion model
- valid_max :
- 325.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 220.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_temp_layer5(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil temperature in layer 5 of soil heat diffusion model
- valid_max :
- 325.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 225.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_temp_layer6(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil temperature in layer 6 of soil heat diffusion model
- valid_max :
- 320.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 230.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - soil_water_infiltration_flux(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Soil water infiltration rate
- valid_max :
- 0.05
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg m-2 s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - specific_humidity_lowatmmodlay(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Air specific humidity at center height of lowest atmospheric model layer
- valid_max :
- 0.4
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- kg kg-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - surface_pressure(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Surface pressure
- valid_max :
- 110000.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- Pa
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 40000.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - surface_temp(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Mean land surface temperature (incl. snow-covered land area). Excluding areas of open water and permanent ice.
- valid_max :
- 350.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x08\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 180.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - temp_lowatmmodlay(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Air temperature at center height of lowest atmospheric model layer
- valid_max :
- 350.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- K
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 180.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - vegetation_greenness_fraction(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Vegetation "greenness" or fraction of transpiring leaves averaged over the land area (excluding areas of open water and permanent ice) of the grid cell
- valid_max :
- 1.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- dimensionless
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- 0.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray - windspeed_lowatmmodlay(interval, y, x)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Surface wind speed at center height of lowest atmospheric model layer
- valid_max :
- 60.0
- fmissing_value :
- -9999.0
- DIMENSION_LABELS :
- ['y\x07\x13\x14}\x7f', 'x\x07\x13\x14}\x7f']
- units :
- m s-1
- grid_mapping :
- EASE2_global_projection
- coordinates :
- /cell_lat /cell_lon
- valid_min :
- -60.0
Array Chunk Bytes 73.34 GB 25.05 MB Shape (2928, 1624, 3856) (1, 1624, 3856) Count 11712 Tasks 2928 Chunks Type float32 numpy.ndarray