SSP-CABra: Streamflow Scenario Projections for Brazilian Catchments

Climate change has significant impacts on hydrological fluxes worldwide, with pronounced effects in Brazil, including intense and recurrent droughts and floods. Accurate streamflow prediction is therefore essential for advancing water resources engineering, improving water resources management, and informing climate adaptation strategies. Here, we introduce the Streamflow Scenario Projections for Brazilian Catchments (SSP-CABra), which provides daily streamflow simulations for 735 Brazilian catchments. These simulations are generated using five hydrological models of varying complexity, forced by ten bias-corrected CMIP6-based climate simulations for historical (1980–2013) and future (2015–2100; SSP2-4.5 and SSP5-8.5) periods. SSP-CABra addresses a critical gap in large-scale hydrological modeling for Brazil, offering valuable insights for researchers and policymakers. By leveraging multiple models and climate scenarios, this dataset aims to improve the understanding of hydrological processes across Brazil’s diverse catchments, supporting efforts to mitigate the adverse effects of climate change on water security. The manuscript related to this dataset has been submitted to the Geoscience Data Journal. For detailed instructions on how to use the dataset, please refer to the README.txt file. For any additional information or inquiries, feel free to contact us at: [e-mail]