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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2326
Version1
Project
Published2024-03-21
Updated2024-03-21
Usage22 downloads

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.

Science Keywords

  • LAND SURFACE
  • SOILS
  • SOIL MOISTURE/WATER CONTENT
  • CLIMATE INDICATORS
  • LAND SURFACE/AGRICULTURE INDICATORS
  • SOIL MOISTURE

Data Use and Citation

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Crosscite Citation Formatter
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

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

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Companion Files

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Dataset has 1 companion files.

  • NASMo_TiAM_250m.pdf