The relationship between ENSO, IOD and SAM with extreme rainfall over South America

There is growing acceptance that the climate is changing. The Intergovernmental Panel on Climate Change reports that extreme events are accentuated with climate change, contributing to the risk and vulnerability of social and environmental systems. This research is focused on South America analyzing...

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Veröffentlicht in:Stochastic environmental research and risk assessment 2024-05, Vol.38 (5), p.1769-1782
Hauptverfasser: Iacovone, Maria Florencia, Pántano, Vanesa C., Penalba, Olga C.
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Pántano, Vanesa C.
Penalba, Olga C.
description There is growing acceptance that the climate is changing. The Intergovernmental Panel on Climate Change reports that extreme events are accentuated with climate change, contributing to the risk and vulnerability of social and environmental systems. This research is focused on South America analyzing the spatial distribution of rainfall and extreme rainfall indices. Then, the pattern of influence of El Niño-Southern Oscillation (ENSO), the Southern Annular Mode (SAM) and the Indian Ocean Dipole (IOD) forcings were analyzed. The climate analysis of the indices highlights the spatial coherence between them over the wettest and driest subregions. Lower total accumulated rainfall, number of rainy days, total accumulated rainfall due to moderate wet days, maximum number of consecutive wet days and higher maximum number of consecutive dry days were observed in the northeast of Brazil, the southeast of Argentina and the Andean region. The opposite was observed in Amazonia and Southeastern South America (SESA).Three subregions were analyzed: north of South America (NSA), South Atlantic Convergence Zone (SACZ), and SESA; being the ENSO events, the ones that provide a stronger and more spatially distributed signal. While the IOD signal is similar when analyzing on a monthly basis, SAM gets deeper in November. In general, the signal in SACZ shows greater spatial variability, while in NSA contains the largest number of significant grid points of opposite sign to the SESA. The response of rainfall and rainfall extreme events to ENSO, SAM and IOD forcings provides useful information for climate services, especially in global warming scenario.
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The opposite was observed in Amazonia and Southeastern South America (SESA).Three subregions were analyzed: north of South America (NSA), South Atlantic Convergence Zone (SACZ), and SESA; being the ENSO events, the ones that provide a stronger and more spatially distributed signal. While the IOD signal is similar when analyzing on a monthly basis, SAM gets deeper in November. In general, the signal in SACZ shows greater spatial variability, while in NSA contains the largest number of significant grid points of opposite sign to the SESA. 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The opposite was observed in Amazonia and Southeastern South America (SESA).Three subregions were analyzed: north of South America (NSA), South Atlantic Convergence Zone (SACZ), and SESA; being the ENSO events, the ones that provide a stronger and more spatially distributed signal. While the IOD signal is similar when analyzing on a monthly basis, SAM gets deeper in November. In general, the signal in SACZ shows greater spatial variability, while in NSA contains the largest number of significant grid points of opposite sign to the SESA. 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subjects Aquatic Pollution
Chemistry and Earth Sciences
Climate change
Computational Intelligence
Computer Science
Dipoles
Earth and Environmental Science
Earth Sciences
El Nino
Environment
Extreme weather
Global warming
Intergovernmental Panel on Climate Change
Math. Appl. in Environmental Science
Original Paper
Physics
Probability Theory and Stochastic Processes
Rainfall
Southern Oscillation
Spatial distribution
Statistics for Engineering
Waste Water Technology
Water Management
Water Pollution Control
title The relationship between ENSO, IOD and SAM with extreme rainfall over South America
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