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    • Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)

    Metadata Updated: June 15, 2024

    Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland 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 May 31, 2023
    Metadata Updated Date June 15, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 31, 2023
    Metadata Updated Date June 15, 2024
    Publisher Climate Adaptation Science Centers
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/449efbf5c50a2686015ff725cc3525e1
    Identifier 5d081727-e50d-4b6b-826f-84b523e4973f
    Data Last Modified 2022-02-22
    Category geospatial
    Public Access Level public
    Bureau Code 010:00
    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 9ff500c0-c17a-4321-8d07-0a826e957f98
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -124.828561122,25.0219575727,-67.0031262631,50.5756943435
    Source Datajson Identifier True
    Source Hash d6305c5fe0ce81510cf3acc6648139f55e937755dfa6d90b15bb9b13bf439a90
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -124.828561122, 25.0219575727, -124.828561122, 50.5756943435, -67.0031262631, 50.5756943435, -67.0031262631, 25.0219575727, -124.828561122, 25.0219575727}

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