Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Pro-jections

Version 1 : Received: 4 July 2023 / Approved: 5 July 2023 / Online: 6 July 2023 (07:42:17 CEST)

A peer-reviewed article of this Preprint also exists.

Ferreira, G.W.S.; Reboita, M.S.; Ribeiro, J.G.M.; de Souza, C.A. Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections. Climate 2023, 11, 166. Ferreira, G.W.S.; Reboita, M.S.; Ribeiro, J.G.M.; de Souza, C.A. Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections. Climate 2023, 11, 166.

Abstract

Drought events are evident effects of climate change around the globe and yield several socio-economic impacts. Such effects are even more relevant for South America (SA) since different activities essential for the continent, like agriculture and energy generation, depend highly on water resources. Thus, this study aimed to evaluate future changes in precipitation and hydro-logical droughts occurrence in SA through climate projections from eight global climate models (GCMs) of CMIP6. To this end, statistical downscaling was applied to the projections with the Quantile Delta Mapping technique, and the method proved to be efficient in reducing systematic biases and preserving GCMs’ trends. For the following decades, the results show considerable and statistically significant reductions in precipitation over most of SA, especially during the austral spring, with the most intense signal under the SSP5-8.5 forcing scenario. Furthermore, GCMs showed mixed signals about projections of the frequency and intensity of drought events. Still, they indicated agreement regarding the increase in duration and severity of events over all of SA and a substantial proportion of moderate and severe events over most of Brazil during the 21st century. These results can be helpful for better management of water resources by deci-sion-makers and energy planners.

Keywords

statistical downscaling; CMIP6; precipitation; drought; climate change; South America

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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