d034·dataset
Soil moisture, root-zone & modeled
SMAP L4 Surface and Root-Zone Soil Moisture (Model-Assimilated)
NSIDC DAAC SPL4SMAU cloud-native 9 km 3-hourly + daily averages HDF5 hydrologyagriculturedroughtmodel-assimilated
Root-zone (0-1 m) soil moisture from a land-surface model assimilating SMAP L3 brightness temperatures. Used in NASA Agricultural Drought Monitor + crop-yield forecasting.
SMAP L4 Surface and Root-Zone Soil Moisture (Model-Assimilated)
Root-zone (0-1 m) soil moisture from a land-surface model assimilating SMAP L3 brightness temperatures. Used in NASA Agricultural Drought Monitor + crop-yield forecasting.
Access
- Python (earthaccess):
short_name='SPL4SMAU' - Portal: https://nsidc.org/data/spl4smau
Gotchas
- Model output assimilating SMAP — NOT a direct deep-soil observation
- Catchment LSM is the underlying model; biases inherit from it
- Use alongside SPL4CMDL for carbon-flux estimates
Related
- Other datasets: d033
Sources
The access details, code, and sources below are kept in the original English for technical accuracy.
Quick access (cloud-direct)
import earthaccess
earthaccess.login(strategy="netrc")
results = earthaccess.search_data(
short_name="SPL4SMAU",
bounding_box=(-122.5, 37.2, -121.8, 37.9),
temporal=("2024-01-01", "2024-12-31"),
)
files = earthaccess.open(results) # stream from NSIDC DAAC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. 📚 Problem Finder KB
Not yet tracked in the KB.