CLIMBra - Climate Change Dataset for Brazil

General Circulation and Earth System Models are the most advanced tools for investigating climate responses to future scenarios of greenhouse gas emissions, playing the role of projecting the climate throughout the century. Nevertheless, climate projections are model-dependent and may show systematic biases, requiring a bias correction for any further application. Here, we provide a dataset based on an ensemble of 19 bias-corrected CMIP6 climate models projections for the Brazilian territory based on the SSP2-4.5 and SSP5-8.5 scenarios. We used the Quantile Delta Mapping approach to bias-correct daily time-series of precipitation, maximum and minimum temperature, solar net radiation, near-surface wind speed, and relative humidity. The bias-corrected dataset is available for both historical (1980-2013) and future (2015-2100) simulations at a 0.25 degrees x0.25 degrees spatial resolution. Besides the gridded product, we provide area-averaged projections for 735 catchments included in the Catchments Attributes for Brazil (CABra) dataset. The dataset provides important variables commonly used in environmental and hydroclimatological studies, paving the way for the development of high-quality research on climate change impacts in Brazil.

Automated summary

In this study, we provide a dataset based on 19 bias-corrected CMIP6 climate models projections for the Brazilian territory under the SSP2-4.5 and SSP5-8.5 scenarios. The dataset includes biased-corrected daily time-series of precipitation, temperature, solar net radiation, wind speed, and relative humidity. It covers historical and future simulations at a spatial resolution of 0.25 degrees x 0.25 degrees, and area-averaged projections for 735 catchments. This dataset facilitates high-quality research on climate change impacts in Brazil.