CMIP5 Downscaled - Global Data Files at 2.5 arc-m (~5 km) resolution
Global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. We applied the delta method, which comprises the sum of interpolated anomalies of each GCM to the WorldClim 1-km spatial resolution dataset. Then we aggregate the data to 2.5 arc-m (~5 km) resolution using nearest neighbor interpolation. The GCMs were the 35 Coupled Model Intercomparison Project Phase 5 (CMIP5) models, for four representative concentrations pathways (RCPs). For each of these, we used the 30-year future periods named as 2030s, 2050s, 2070s and 2080s with three climate variables (mean monthly maximum and minimum temperatures and monthly rainfall). From these, we also derive a set of bioclimatic indices.
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