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 |
|---|---|---|---|
| Original Metadata | Unknown | The metadata's original source. | Open resource |
| Web Resource | Binary | ||
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| JPEG Image File | JPG | NASMo_TiAM_250m_Fig1.jpg | Open resource |
| Data Information (JPEG) | JPG | NASMo_TiAM_250m_Fig1.jpg | Open resource |
| Web Resource | Binary | ||
| PDF File | NASMo_TiAM_250m.pdf | Open resource | |
| Data Information (PDF) | NASMo_TiAM_250m.pdf | Open resource | |
| Web Page | HTML | Open resource | |
| Data Information (HTML) | HTML | Open resource | |
| Web Resource | Binary | ||
| Web Resource | Binary | ||
| Data Information (Unknown Format) | Binary | Open resource | |
| Web Resource | Binary | Open resource |