Esposte Coutinho, P.; Cataldi, M. Evaluation of Extreme Hydroclimatic Trends in River Basins Located in the Northeast and South Regions of Brazil. Atmosphere2023, 14, 1388.
Esposte Coutinho, P.; Cataldi, M. Evaluation of Extreme Hydroclimatic Trends in River Basins Located in the Northeast and South Regions of Brazil. Atmosphere 2023, 14, 1388.
Esposte Coutinho, P.; Cataldi, M. Evaluation of Extreme Hydroclimatic Trends in River Basins Located in the Northeast and South Regions of Brazil. Atmosphere2023, 14, 1388.
Esposte Coutinho, P.; Cataldi, M. Evaluation of Extreme Hydroclimatic Trends in River Basins Located in the Northeast and South Regions of Brazil. Atmosphere 2023, 14, 1388.
Abstract
Brazil has a large availability of natural resources and its economy was historically built around their exploitation. Changes in climate trends are already causing several environmental impacts, which affect the economic and social organization of the country. Impacts linked to the hydrological cycle are particularly concerning since water resources are used for electricity production, representing approximately 65% of the Brazilian electricity matrix. This study, therefore, aims to evaluate the hydroclimatic extreme trends of river basins located in the Northeast and South regions of the country. For this purpose, we carried out a flow analysis from 2020 to 2100, considering the precipitation data from the BCC CSM1-1, CCSM4, MIROC5, and NorESM1-M models presented in the Fifth Assessment Report of the Intergovernmental Panel on Climate Change - IPCC. We used the SMAP rainfall-runoff model to obtain future flow projections for the RCP4.5 and RCP8.5 scenarios. As a result, we observed a trend toward water loss and intensification of extreme events, with an increase in variability in both scenarios. We also noted that these climate models have difficulty reproducing the natural variability of southern basins, as the simplification of atmospheric phenomena parameterization prevents them from correctly projecting the precipitation.
Keywords
SMAP model; CMIP5; Parnaíba river basin; São Francisco river basin; Iguaçu river basin; Uruguay river basin.
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
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