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    • Results of the Water Balance evaluation and supplemental data for publication

    Metadata Updated: October 29, 2025

    We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: 1) Google Earth Engine (GEE) and 2) Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA). FANO brought substantial improvements in model accuracy and operational implementation.

    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.

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    Dates

    Metadata Created Date September 12, 2025
    Metadata Updated Date October 29, 2025

    Metadata Source

    Harvested from DOI USGS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 12, 2025
    Metadata Updated Date October 29, 2025
    Publisher U.S. Geological Survey
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/usgs-6398e07bd34e0de3a1f0d7b2
    Data Last Modified 2022-12-14T00:00:00Z
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://ddi.doi.gov/usgs-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
    Harvest Object Id 7945e148-b4c4-4d2b-bd67-beb1b8e2c1a9
    Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
    Harvest Source Title DOI USGS DCAT-US
    Metadata Type geospatial
    Old Spatial -128.6719, 22.7559, -64.1602, 49.4967
    Source Datajson Identifier True
    Source Hash c9fbfda23c3cf89bc932a39ddeffcfd4b75662655e93a35d4f7703499e568609
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -128.6719, 22.7559, -128.6719, 49.4967, -64.1602, 49.4967, -64.1602, 22.7559, -128.6719, 22.7559}

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