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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Southeast CASC > FY 2013 Projects > Downscaling Climate Projections to Understand Future Temperature and Precipitation Patterns in the Southeast ( Show direct descendants )

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__National and Regional Climate Adaptation Science Centers
___Southeast CASC
____FY 2013 Projects
_____Downscaling Climate Projections to Understand Future Temperature and Precipitation Patterns in the Southeast
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The Multivariate Adaptive Constructed Analogs(MACA)(Abatzoglou, Brown, 2011) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns in climate model output. We have used MACA to downscale the model output from 20 global climate models (GCMs) of the Coupled Model Inter-Comparison Project 5 (CMIP5) for the historical GCM forcings (1950-2005) and the future Representative Concentration Pathways (RCPs) RCP 4.5 and RCP8.5 scenarios (2006-2100) from the native resolution of the GCMS to either 4-km or ~6-km.