A high-resolution daily global dataset of statistically downscaled CMIP6 models for climate impact analyses.

ABSTRACT: A large number of historical simulations and future climate projections are available from Global Climate Models, but these are typically of coarse resolution, which limits their effectiveness for assessing local scale changes in climate and attendant impacts. Here, we use a novel statistical downscaling model capable of replicating extreme events, the Bias Correction Constructed Analogues with Quantile mapping reordering (BCCAQ), to downscale daily precipitation, air-temperature, maximum and minimum temperature, wind speed, air pressure, and relative humidity from 18 GCMs from the Coupled Model Intercomparison Project Phase 6 (CMIP6). BCCAQ is calibrated using high-resolution reference datasets and showed a good performance in removing bias from GCMs and reproducing extreme events. The gl

SUBMITTER: Gebrechorkos S 

PROVIDER: S-EPMC10495318 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature