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

    Metadata Updated: March 28, 2024

    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.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date March 28, 2024
    Metadata Updated Date March 28, 2024

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Random Forests predictions of mean volumetric soil moisture values for North America derived from 426 biweekly periods from 2002 to 2020.

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 28, 2024
    Metadata Updated Date March 28, 2024
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2905457765-ORNL_CLOUD
    Data First Published 2024-03-21
    Language en-US
    Data Last Modified 2024-03-22
    Category CMS, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    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
    Graphic Preview Description Random Forests predictions of mean volumetric soil moisture values for North America derived from 426 biweekly periods from 2002 to 2020.
    Graphic Preview File https://daac.ornl.gov/CMS/guides/NASMo_TiAM_250m_Fig1.jpg
    Harvest Object Id 9e147892-7364-4c3f-9369-62062ffb35af
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/2326
    Metadata Type geospatial
    Old Spatial -180.0 14.53 -40.0 82.72
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 9ec5cb05d77150775362afe95cdc4f831ba612b5961fd39aa0aa614312d71145
    Source Schema Version 1.1
    Spatial
    Temporal 2002-06-26T00:00:00Z/2020-12-31T23:59:59Z

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