SMAP_L3_2019_07_AM
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/SMAP_L3_2019_07_AM.yaml")
ds=cat.netcdf.read()Metadata
| title | SMAP_L3_2019_07_AM |
| location | /shared/land/SMAP/SPL3SMP_E.005 |
| tags | SMAP,soil_moisture,global,satellite,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/SMAP_L3_2019_07_AM.yaml |
| last updated | 2022-04-12 |
Dataset Contents
<xarray.Dataset>
Dimensions: (phony_dim_0: 1624, phony_dim_1: 3856, time: 9)
Dimensions without coordinates: phony_dim_0, phony_dim_1, time
Data variables: (12/51)
EASE_column_index (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
EASE_row_index (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
albedo (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
albedo_dca (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
albedo_scah (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
albedo_scav (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
... ...
tb_v_uncorrected (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
vegetation_opacity (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
vegetation_opacity_dca (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
vegetation_opacity_scah (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
vegetation_opacity_scav (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
vegetation_water_content (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>xarray.Dataset
- phony_dim_0: 1624
- phony_dim_1: 3856
- time: 9
- EASE_column_index(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The column index of the 9 km EASE grid cell that contains the associated data.
- valid_max :
- 3855
- valid_min :
- 0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - EASE_row_index(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The row index of the 9 km EASE grid cell that contains the associated data.
- valid_max :
- 1623
- valid_min :
- 0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - albedo(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Diffuse reflecting power of the Earth's surface used in DCA within the grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - albedo_dca(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Diffuse reflecting power of the Earth's surface used in DCA within the grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - albedo_scah(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Diffuse reflecting power of the Earth's surface used in SCA-H within the grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - albedo_scav(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Diffuse reflecting power of the Earth's surface used in SCA-V within the grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - boresight_incidence(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Representative angle between the antenna boresight vector and the normal to the Earth's surface for all footprints within the cell.
- units :
- degrees
- valid_max :
- 90.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - bulk_density(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- A unitless value that is indicative of aggregated bulk_density within the 9 km grid cell.
- valid_max :
- 2.65
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - clay_fraction(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- A unitless value that is indicative of aggregated clay fraction within the 9 km grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - freeze_thaw_fraction(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Fraction of the 9 km grid cell that is denoted as frozen. Based on binary flag that specifies freeze thaw conditions in each of the component 3 km grid cells.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - grid_surface_status(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Indicates if the grid point lies on land (0) or water (1).
- valid_max :
- 1
- valid_min :
- 0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - latitude(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Latitude of the center of the Earth based grid cell.
- units :
- degrees_north
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - latitude_centroid(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Weighted average of the latitude of the center of the brightness temperature footprints that fall within the EASE grid cell.
- units :
- degrees
- valid_max :
- 90.0
- valid_min :
- -90.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - longitude(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- long_name :
- Longitude of the center of the Earth based grid cell.
- units :
- degrees_east
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - longitude_centroid(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Weighted average of the longitude of the center of the brightness temperature footprints that fall within the EASE grid cell.
- units :
- degrees
- valid_max :
- 179.999
- valid_min :
- -180.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - radar_water_body_fraction(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The fraction of the area of the 9 km grid cell that is covered by water based on the radar detection algorithm.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - retrieval_qual_flag(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s
- flag_meanings :
- Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
- long_name :
- Bit flags that record the conditions and the quality of the DCA retrieval algorithms that generate soil moisture for the grid cell.
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - retrieval_qual_flag_dca(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s
- flag_meanings :
- Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
- long_name :
- Bit flags that record the conditions and the quality of the DCA retrieval algorithms that generate soil moisture for the grid cell.
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - retrieval_qual_flag_scah(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s
- flag_meanings :
- Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
- long_name :
- Bit flags that record the conditions and the quality of the SCA-H retrieval algorithms that generate soil moisture for the grid cell.
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - retrieval_qual_flag_scav(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s
- flag_meanings :
- Retrieval_recommended Retrieval_attempted Retrieval_success FT_retrieval_success
- long_name :
- Bit flags that record the conditions and the quality of the SCA-V retrieval algorithms that generate soil moisture for the grid cell.
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - roughness_coefficient(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- A unitless value that is indicative of bare soil roughness used in DCA within the 9 km grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - roughness_coefficient_dca(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- A unitless value that is indicative of bare soil roughness used in DCA within the 9 km grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - roughness_coefficient_scah(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- A unitless value that is indicative of bare soil roughness used in SCA-H within the 9 km grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - roughness_coefficient_scav(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- A unitless value that is indicative of bare soil roughness used in SCA-V within the 9 km grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - soil_moisture(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Representative DCA soil moisture measurement for the Earth based grid cell.
- units :
- cm**3/cm**3
- valid_max :
- 0.5
- valid_min :
- 0.02
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - soil_moisture_dca(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Representative DCA soil moisture measurement for the Earth based grid cell.
- units :
- cm**3/cm**3
- valid_max :
- 0.5
- valid_min :
- 0.02
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - soil_moisture_error(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Net uncertainty measure of soil moisture measure for the Earth based grid cell. - Calculation method is TBD.
- units :
- cm**3/cm**3
- valid_max :
- 0.2
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - soil_moisture_scah(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Representative SCA-H soil moisture measurement for the Earth based grid cell.
- units :
- cm**3/cm**3
- valid_max :
- 0.5
- valid_min :
- 0.02
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - soil_moisture_scav(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Representative SCA-V soil moisture measurement for the Earth based grid cell.
- units :
- cm**3/cm**3
- valid_max :
- 0.5
- valid_min :
- 0.02
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - static_water_body_fraction(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The fraction of the area of the 9 km grid cell that is covered by static water based on a Digital Elevation Map.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - surface_flag(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s
- flag_meanings :
- 9_km_static_water_body 9_km_radar_water_body_detection 9_km_coastal_proximity 9_km_urban_area 9_km_precipitation 9_km_snow_or_ice 9_km_permanent_snow_or_ice 9_km_radiometer_frozen_ground 9_km_model_frozen_ground 9_km_mountainous_terrain 9_km_dense_vegetation 9_km_nadir_region
- long_name :
- Bit flags that record ambient surface conditions for the grid cell
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - surface_temperature(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Temperature at land surface based on GMAO GEOS-5 data.
- units :
- Kelvins
- valid_max :
- 350.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - surface_water_fraction_mb_h(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Gain weighted fraction of static water within the radiometer horizontal polarization brightness temperature antenna pattern in 36 km Earth grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - surface_water_fraction_mb_v(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Gain weighted fraction of static water within the radiometer vertical polarization brightness temperature antenna pattern in 36 km Earth grid cell.
- valid_max :
- 1.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_3_corrected(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Third stokes parameter for each 9 km grid cell calculated with an adjustment for the presence of water bodies
- units :
- Kelvin
- valid_max :
- 330.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_4_corrected(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Fourth stokes parameter for each 9 km grid cell calculated with an adjustment for the presence of water bodies
- units :
- Kelvin
- valid_max :
- 330.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_h_corrected(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Horizontal polarization brightness temperature in 9 km Earth grid cell adjusted for the presence of water bodies.
- units :
- Kelvin
- valid_max :
- 330.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_h_uncorrected(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Horizontal polarization brightness temperature in 36 km Earth grid cell before adjustment for the presence of water bodies.
- units :
- Kelvin
- valid_max :
- 330.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_qual_flag_3(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 4096s, 16384s, 32768s
- flag_meanings :
- 3rd_Stokes_quality 3rd_Stokes_range 3rd_Stokes_RFI_detection 3rd_Stokes_RFI_correction 3rd_Stokes_NEDT 3rd_Stokes_direct_sun_correction 3rd_Stokes_reflected_sun_correction 3rd_Stokes_reflected_moon_correction 3rd_Stokes_direct_galaxy_correction 3rd_Stokes_reflected_galaxy_correction 3rd_Stokes_atmosphere_correction 3rd_Stokes_null_value_bit 3rd_Stokes_RFI_check 3rd_Stokes_RFI_clean
- long_name :
- Bit flags that represent the quality of the 3rd Stokes brightness temperature within each grid cell
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_qual_flag_4(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 4096s, 16384s, 32768s
- flag_meanings :
- 4th_Stokes_quality 4th_Stokes_range 4th_Stokes_RFI_detection 4th_Stokes_RFI_correction 4th_Stokes_NEDT 4th_Stokes_direct_sun_correction 4th_Stokes_reflected_sun_correction 4th_Stokes_reflected_moon_correction 4th_Stokes_direct_galaxy_correction 4th_Stokes_reflected_galaxy_correction 4th_Stokes_atmosphere_correction 4th_Stokes_null_value_bit 4th_Stokes_RFI_check 4th_Stokes_RFI_clean
- long_name :
- Bit flags that represent the quality of the 4th Stokes brightness temperature within each grid cell
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_qual_flag_h(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s, 4096s, 8192s, 16384s, 32768s
- flag_meanings :
- Horizontal_polarization_quality Horizontal_polarization_range Horizontal_polarization_RFI_detection Horizontal_polarization_RFI_correction Horizontal_polarization_NEDT Horizontal_polarization_direct_sun_correction Horizontal_polarization_reflected_sun_correction Horizontal_polarization_reflected_moon_correction Horizontal_polarization_direct_galaxy_correction Horizontal_polarization_reflected_galaxy_correction Horizontal_polarization_atmosphere_correction Horizontal_polarization_Faraday_rotation_correction Horizontal_polarization_null_value_bit Horizontal_polarization_water_correction Horizontal_polarization_RFI_check Horizontal_polarization_RFI_clean
- long_name :
- Bit flags that represent the quality of the horizontal polarization brightness temperature within each grid cell
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_qual_flag_v(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- flag_masks :
- 1s, 2s, 4s, 8s, 16s, 32s, 64s, 128s, 256s, 512s, 1024s, 2048s, 4096s, 8192s, 16384s, 32768s
- flag_meanings :
- Vertical_polarization_quality Vertical_polarization_range Vertical_polarization_RFI_detection Vertical_polarization_RFI_correction Vertical_polarization_NEDT Vertical_polarization_direct_sun_correction Vertical_polarization_reflected_sun_correction Vertical_polarization_reflected_moon_correction Vertical_polarization_direct_galaxy_correction Vertical_polarization_reflected_galaxy_correction Vertical_polarization_atmosphere_correction Vertical_polarization_Faraday_rotation_correction Vertical_polarization_null_value_bit Vertical_polarization_water_correction Vertical_polarization_RFI_check Vertical_polarization_RFI_clean
- long_name :
- Bit flags that represent the quality of the vertical polarization brightness temperature within each grid cell
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_time_seconds(time, phony_dim_0, phony_dim_1)timedelta64[ns]dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Arithmetic average of the acquisition time of all of the brightness temperature footprints with a center that falls within the EASE grid cell in seconds since noon on January 1, 2000 UTC.
- valid_max :
- 940000000.0
- valid_min :
- -999999.9
Array Chunk Bytes 450.87 MB 50.10 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type timedelta64[ns] numpy.ndarray - tb_time_utc(time, phony_dim_0, phony_dim_1)|S24dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Arithmetic average of the acquisition time of all of the brightness temperature footprints with a center that falls within the EASE grid cell in UTC.
Array Chunk Bytes 1.35 GB 150.29 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type |S24 numpy.ndarray - tb_v_corrected(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Vertical polarization brightness temperature in 9 km Earth grid cell adjusted for the presence of water bodies.
- units :
- Kelvin
- valid_max :
- 330.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - tb_v_uncorrected(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Vertical polarization brightness temperature in 36 km Earth grid cell before adjustment for the presence of water bodies.
- units :
- Kelvin
- valid_max :
- 330.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - vegetation_opacity(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The measured opacity of the vegetation used in the DCA retrieval in the grid cell.
- valid_max :
- 999999.9
- valid_min :
- -999999.9
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - vegetation_opacity_dca(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The measured opacity of the vegetation used in the DCA retrieval in the grid cell.
- valid_max :
- 999999.9
- valid_min :
- -999999.9
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - vegetation_opacity_scah(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The measured opacity of the vegetation used in the SCA-H retrieval in the grid cell.
- valid_max :
- 999999.9
- valid_min :
- -999999.9
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - vegetation_opacity_scav(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- The measured opacity of the vegetation used in the SCA-V retrieval in the grid cell.
- valid_max :
- 999999.9
- valid_min :
- -999999.9
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray - vegetation_water_content(time, phony_dim_0, phony_dim_1)float32dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
- coordinates :
- /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
- long_name :
- Representative measure of water in the vegetation within the 9 km grid cell.
- units :
- kg/m**2
- valid_max :
- 20.0
- valid_min :
- 0.0
Array Chunk Bytes 225.44 MB 25.05 MB Shape (9, 1624, 3856) (1, 1624, 3856) Count 36 Tasks 9 Chunks Type float32 numpy.ndarray