Extreme Seasonal Droughts and Floods in the Madeira River Basin, Brazil: Diagnosis, Causes, and Trends

Author:

Laureanti Nicole Cristine12ORCID,Tavares Priscila da Silva1ORCID,Tavares Matheus1ORCID,Rodrigues Daniela Carneiro1,Gomes Jorge Luís1ORCID,Chou Sin Chan1ORCID,Correia Francis Wagner Silva3

Affiliation:

1. National Institute for Space Research (INPE), Presidente Dutra Rod. (BR-116), km 39, Cachoeira Paulista 12630-000, SP, Brazil

2. Department of Environmental Sciences, Rutgers, The State University of New Jersey, 14 College Farm Rd., New Brunswick, NJ 08901, USA

3. Department of Meteorology, Universidade do Estado do Amazonas (UEA), Av. Djalma Batista, 3578, Flores, Manaus 69050-010, AM, Brazil

Abstract

The Madeira River, a major tributary of the Amazon River, often undergoes severe flood and drought conditions. This study seeks to investigate the climate processes associated with the opposing extreme precipitation events in the Madeira River basin and to relate them to river discharge variability based on a flood awareness dataset. Despite the uncertainty in the observational datasets, the annual precipitation cycle exhibits a rainy season from November to March. A significant result is the high correlation between the rainy season variability in the Madeira River basin and the sea surface temperature (SST) anomalies in the tropical North Atlantic Ocean and the southwestern South Atlantic Ocean. This result indicates that improving the Atlantic SST representation in climate modeling allows for capturing extreme precipitation events in the region. In addition to this impact, certain Madeira River tributaries present significant climate trends. The river discharge variability reveals an increase in hydrological extremes in recent years in the upper sector, but more significantly, in the lower basin, where it has reduced by more than 400 m3/s per decade. These findings highlight the need to improve in situ data and climate and hydrological modeling, with a focus on describing the intense climate variability and trends in river discharges.

Funder

FAPESP

Publisher

MDPI AG

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