SMAP_L3_2015_06_PM

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_2015_06_PM.yaml")
ds=cat.netcdf.read()

Metadata

title	SMAP_L3_2015_06_PM
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_2015_06_PM.yaml
last updated	2022-04-12

Dataset Contents

<xarray.Dataset>
Dimensions:                         (phony_dim_0: 1624, phony_dim_1: 3856, time: 30)
Dimensions without coordinates: phony_dim_0, phony_dim_1, time
Data variables: (12/51)
    EASE_column_index_pm            (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    EASE_row_index_pm               (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    albedo_dca_pm                   (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    albedo_pm                       (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    albedo_scah_pm                  (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    albedo_scav_pm                  (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    ...                              ...
    tb_v_uncorrected_pm             (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    vegetation_opacity_dca_pm       (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    vegetation_opacity_pm           (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    vegetation_opacity_scah_pm      (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    vegetation_opacity_scav_pm      (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    vegetation_water_content_pm     (time, phony_dim_0, phony_dim_1) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>

xarray.Dataset

Dimensions:
- phony_dim_0: 1624
- phony_dim_1: 3856
- time: 30
Coordinates: (0)

Data variables: (51)

EASE_column_index_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

EASE_row_index_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

albedo_dca_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

albedo_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

albedo_scah_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

albedo_scav_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

boresight_incidence_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

bulk_density_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

clay_fraction_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

freeze_thaw_fraction_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

grid_surface_status_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

latitude_centroid_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

latitude_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>

coordinates :: /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
long_name :: Latitude of the center of the Earth based grid cell.
units :: degrees_north
valid_max :: 90.0
valid_min :: -90.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

longitude_centroid_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

longitude_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>

coordinates :: /Soil_Moisture_Retrieval_Data_AM/latitude /Soil_Moisture_Retrieval_Data_AM/longitude
long_name :: Longitude of the center of the Earth based grid cell.
units :: degrees_east
valid_max :: 179.999
valid_min :: -180.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

radar_water_body_fraction_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

retrieval_qual_flag_dca_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

retrieval_qual_flag_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

retrieval_qual_flag_scah_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

retrieval_qual_flag_scav_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

roughness_coefficient_dca_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the 9 km grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

roughness_coefficient_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the 9 km grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

roughness_coefficient_scah_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the 9 km grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

roughness_coefficient_scav_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 retrievals within the 9 km grid cell.
valid_max :: 1.0
valid_min :: 0.0

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

soil_moisture_dca_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

soil_moisture_error_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

soil_moisture_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

soil_moisture_scah_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

soil_moisture_scav_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

static_water_body_fraction_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

surface_flag_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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_radar_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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

surface_temperature_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

surface_water_fraction_mb_h_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

surface_water_fraction_mb_v_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_3_corrected_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_4_corrected_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_h_corrected_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_h_uncorrected_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_qual_flag_3_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_qual_flag_4_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_qual_flag_h_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_qual_flag_v_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_time_seconds_pm

(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	1.50 GB	50.10 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	timedelta64[ns]	numpy.ndarray

tb_time_utc_pm

(time, phony_dim_0, phony_dim_1)

|S24

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 UTC.

	Array	Chunk
Bytes	4.51 GB	150.29 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	\|S24	numpy.ndarray

tb_v_corrected_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

tb_v_uncorrected_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

vegetation_opacity_dca_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 DCA retrievals in the grid cell.
valid_max :: 999999.9
valid_min :: -999999.9

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

vegetation_opacity_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 DCA retrievals in the grid cell.
valid_max :: 999999.9
valid_min :: -999999.9

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

vegetation_opacity_scah_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 SCA-H retrievals in the grid cell.
valid_max :: 999999.9
valid_min :: -999999.9

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

vegetation_opacity_scav_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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 SCA-V retrievals in the grid cell.
valid_max :: 999999.9
valid_min :: -999999.9

	Array	Chunk
Bytes	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

vegetation_water_content_pm

(time, phony_dim_0, phony_dim_1)

float32

dask.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	751.46 MB	25.05 MB
Shape	(30, 1624, 3856)	(1, 1624, 3856)
Count	120 Tasks	30 Chunks
Type	float32	numpy.ndarray

Attributes: (0)