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Publication Details

  • This page describes an out-of-date version of the publication.
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  • Title:
    RPA Historical observational data (1979-2015) for the conterminous United States at the 1/24 degree grid scale based on MACA training data (METDATA)
    Joyce, Linda A.; Coulson, David P.;
    Publication Year:
    How to Cite:
    These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
    Coulson, David P.; Joyce, Linda A. 2017. RPA Historical observational data (1979-2015) for the conterminous United States at the 1/24 degree grid scale based on MACA training data (METDATA). Fort Collins, CO: Forest Service Research Data Archive. Updated 27 February 2018.

    * A new and corrected edition of these data is now available: and therefore the files for the 1st edition are not longer available. If access to the older files is required, please contact the metadata or distribution contacts.
    This data publication contains a gridded historical (1979-2015) dataset for the conterminous United States that has been summarized to the monthly time scale. This monthly historical dataset was developed using the daily MACA observational data (METDATA), also called MACA Training Data ( The MACA training data were used to downscale global climate model projections to the 1/24 degree grid scale. This monthly data will be used in the modeling analyses for the 2020 RPA Assessment. Data include eight separate files containing mean daily mean potential evapotranspiration, total monthly precipitation, mean daily minimum and maximum relative humidity, mean daily downward shortwave radiation at surface, mean daily maximum air temperature, mean daily mean air temperature, mean daily minimum air temperature, and mean daily mean wind speed at 10 meters high.

    climatologyMeteorologyAtmosphere; Climate change; Climatology; training data; MACA; monthly; observational data; historical climate data; RPA Assessment; temperature; precipitation; potential evapotranspiration; wind speed; solar radiation; relative humidity; conterminous United States

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