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    • Application of hierarchical Bayesian methods to a spatially explicit model of long-term mean annual streamflow for the conterminous United States

    Metadata Updated: July 6, 2024

    The data release documents the application of hierarchical Bayesian methods to a previously developed hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed attributes) model of long-term mean annual streamflow for streams and rivers of conterminous United States. The performance and interpretability of three models were evaluated. The models included a non-hierarchical baseline model with spatially constant coefficients and model error variance, and two hierarchical models with regionally varying coefficients and model error variances, as described in the journal article (see Table 2; https://doi.org/10.1029/2019WR025037). An R script is provided that allows users to execute the three models.

    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 June 1, 2023
    Metadata Updated Date July 6, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024
    Publisher U.S. Geological Survey
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/1111b55bfe2876fb661257442c9623be
    Identifier USGS:19b9b62c-5655-4fd5-9050-78fbb020dc8a
    Data Last Modified 20201117
    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://datainventory.doi.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
    Harvest Object Id 7864fab9-baf4-4f46-93ef-02722f526266
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -124.8,24.3,-66.8,49.3
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash 8a7f693d5611212e610008daf7d50b67bd2b9baa8ccdce57e1328b4ebaa0e553
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -124.8, 24.3, -124.8, 49.3, -66.8, 49.3, -66.8, 24.3, -124.8, 24.3}

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