Multivariate Adaptive Constructed Analogs (MACAv2-METDATA) CMIP5 Statistically Downscaled Data for Coterminous USA

This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the Multivariate Adaptive Constructed Analogs (MACA, Abatzoglou, 2012) statistical downscaling method with the METDATA (Abatzoglou, 2013) training dataset. The downscaled meteorological variables are maximum/minimum temperature (tasmax/tasmin), maximum/minimum relative humidity (rhsmax/rhsmin), precipitation amount(pr), downward shortwave solar radiation (rsds), eastward wind (uas), northward wind (vas), and specific humidity (huss). The downscaling is based on the 365-day model outputs from different global climate models (GCMs) from Phase 5 of the Coupled Model Inter-comparison Project (CMIP) utilizing the historical (1950-2005) and future RCP4.5/8.5 (2006-2099) scenarios. Leap days have been added to the dataset from the average values between Feb 28 and Mar 1 in order to aid modelers.