NASMo-TiAM 250m 16-day North America Surface Soil Moisture Dataset

Description

This NASMo-TiAM (North America Soil Moisture Dataset Derived from Time-Specific Adaptable Machine Learning Models) dataset holds gridded estimates of surface soil moisture (0-5 cm depth) at a spatial resolution of 250 meters over 16-day intervals from mid-2002 to December 2020 for North America. The model employed Random Forests to downscale coarse-resolution soil moisture estimates (0.25 deg) from the European Space Agency Climate Change Initiative (ESA CCI) based on their correlation with a set of static (terrain parameters, bulk density) and dynamic covariates (Normalized Difference Vegetation Index, land surface temperature). NASMo-TiAM 250m predictions were evaluated through cross-validation with ESA CCI reference data and independent ground-truth validation using North American Soil Moisture Database (NASMD) records. The data are provided in cloud optimized GeoTIFF format.

Resources

Name Format Description Link
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/NASMo_TiAM_250m.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/2326
33 NASMo-TiAM 250m 16-day North America Surface Soil Moisture Dataset: NASMo_TiAM_250m.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/NASMo_TiAM_250m/comp/NASMo_TiAM_250m.pdf
22 Random Forests predictions of mean volumetric soil moisture values for North America derived from 426 biweekly periods from 2002 to 2020. https://daac.ornl.gov/CMS/guides/NASMo_TiAM_250m_Fig1.jpg
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/daacdata/cms/NASMo_TiAM_250m/
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F2326

Tags

  • climate-indicators
  • soils
  • land-surface
  • land-surface-agriculture-indicators
  • earth-science

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