CMIP5 Downscaled - High Resolution Data Files of Tile B6
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. 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. We divided the global surface in 18 geographical tiles. The primary downscaling resolution is 30 arc-s (~1 km at the Equator) but we aggregate the data to other three resolutions using nearest neighbor interpolation, including: 2.5 arc-m (~5 km), 5 arc-m (~10 km), and 10 arc-m (20 km).
Creative Commons Attribution 4.0 International (CC BY 4.0)
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71.84 GiB (77132624310 Byte)
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