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

[nileshsnshinde]

Contact Details

[email protected]

Provide Dataset Link

https://daac.ornl.gov/CMS/guides/NASMo_TiAM_250m.html

Describe the update

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.
This dataset holds 1109 files in cloud optimized GeoTIFF format.

Relevant additional information

Citation
Llamas, R., P. Olaya, M. Taufer, and R. Vargas. 2024. NASMo-TiAM 250m 16-day North America Surface Soil Moisture Dataset. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2326

Code of Conduct

• I agree to follow this project's Code of Conduct