CLIMBra - Climate Change Dataset for Brazil

This dataset comprises a bias-corrected data set of 6 climate change variables at gridded (0.25° X 0.25°) and catchment scales within the Brazilian territory, following the second and fifth Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5). We used Quantile Delta Mapping to correct bias in 19 General Circulation/Earth System Models from the Coupled Model Intercomparison Project 6 for six variables at a daily basis: precipitation, maximum and minimun temperature, radiation, near-surface wind speed and relative humidity. The bias-corrected dataset is available for both historical (1980-2013) and future (2015-2100) periods. The catchment-scale dataset that comprises point-based daily series for more than 700 Brazilian catchments. Our Dataset comprehends important variables commonly used in environmental/hydrological studies on climate change impacts at regional scales.