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    • Process-based water temperature predictions in the Midwest US: 5 Model prediction data

    Metadata Updated: January 20, 2026

    Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. General Lake Model verion 2 process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error for 449 lakes (PBALL). Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations for 7,150 lakes.

    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 January 12, 2026
    Metadata Updated Date January 20, 2026

    Metadata Source

    Harvested from DOI USGS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 12, 2026
    Metadata Updated Date January 20, 2026
    Publisher U.S. Geological Survey
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/USGS_5db819a8e4b0b0c58b5a4c45
    Data Last Modified 2021-07-27T00:00:00Z
    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
    Datagov Dedupe Retained 20260120143730
    Harvest Object Id 324e5413-1154-4b89-80e9-63691c5c1af4
    Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
    Harvest Source Title DOI USGS DCAT-US
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": -104.016631682319, 37.1076610090681, -104.016631682319, 49.3749961973185, -83.0716153148296, 49.3749961973185, -83.0716153148296, 37.1076610090681, -104.016631682319, 37.1076610090681}
    Source Datajson Identifier True
    Source Hash 056aac69523a6519b840038305b41592bdfa078602de1440b9e74b605f1091b9
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -104.016631682319, 37.1076610090681, -104.016631682319, 49.3749961973185, -83.0716153148296, 49.3749961973185, -83.0716153148296, 37.1076610090681, -104.016631682319, 37.1076610090681}

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