SMAP_L3_2020_12_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_2020_12_AM.yaml") ds=cat.netcdf.read()

Metadata

title SMAP_L3_2020_12_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_2020_12_AM.yaml
last updated 2022-04-12

Dataset Contents

<xarray.Dataset>
Dimensions:                      (phony_dim_0: 1624, phony_dim_1: 3856, time: 31)
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>