SPL4SMGP.005_3-hourly_coordinates_2017

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_coordinates_2017.yaml") ds=cat.netcdf.read()

Metadata

title SPL4SMGP.005_3-hourly_coordinates_2017
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_coordinates_2017.yaml
last updated 2022-03-09

Dataset Contents

<xarray.Dataset>
Dimensions:                  (interval: 2920, phony_dim_2: 1, x: 3856, y: 1624)
Coordinates:
  * x                        (x) float64 -1.736e+07 -1.735e+07 ... 1.736e+07
  * y                        (y) float64 7.31e+06 7.301e+06 ... -7.31e+06
Dimensions without coordinates: interval, phony_dim_2
Data variables:
    EASE2_global_projection  (interval, phony_dim_2) |S1 dask.array<chunksize=(1, 1), meta=np.ndarray>
    cell_column              (interval, y, x) float64 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    cell_lat                 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    cell_lon                 (interval, y, x) float32 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    cell_row                 (interval, y, x) float64 dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>
    time                     (interval, phony_dim_2) datetime64[ns] dask.array<chunksize=(1, 1), meta=np.ndarray>
Attributes:
    Source:       v17.9.0-beta.8
    Institution:  NASA Global Modeling and Assimilation Office
    History:      File written by ldas2daac.x
    Comment:      HDF-5
    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv5012/...
    Title:        SMAP L4_SM Geophysical (GPH) Data Granule
    Conventions:  CF
    References:   see SMAP L4_SM Product Specification Documentation
    Contact:      http://gmao.gsfc.nasa.gov