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Publication Details

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) (2nd Edition)
Author(s):
Joyce, Linda A.; Coulson, David P.
Publication Year:
2020
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. 2020. RPA Historical observational data (1979-2015) for the conterminous United States at the 1/24 degree grid scale based on MACA training data (METDATA). 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2017-0070-2
Abstract:
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 (https://www.northwestknowledge.net/metdata/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 minimum air temperature, and mean daily mean wind speed at 10 meters high.

Keywords:
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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https://www.fs.usda.gov/rds/archive/catalog/RDS-2017-0070-2