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30-Arcsecond Climate Projections for All Global Land Surfaces

Title30-Arcsecond Climate Projections for All Global Land Surfaces
Publication TypeConference Paper
Year of Publication2014
AuthorsMosier TM, Hill DF, Sharp KV
Conference NameDailyMeteo.org/2014
Date Published06/2014
PublisherFaculty of Civil Engineering, University of Belgrade
Conference LocationBelgrade
Abstract

A statistical downscaling method is presented for producing 30-arcsecond monthly time-series of precipitation, mean temperature, minimum temperature, and maximum temperature from GCM data. These downscaled data can be produced efficiently for any global land area, requiring the user only to specify their region of interest. To highlight one use of these data, a metric called potential snowfall is calculated for the Karakorum and Hindu Kush region from 2020 through 2100. These data show that potential snowfall is decreasing over this period and that this change is very spatially heterogeneous. Therefore, using these downscaled data offer a readily apparent advantage compared to using the relatively low spatial resolution GCM output directly. These tools are open source and freely available at GlobalCliamteData.org.

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