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dc.contributor.author
Iacovone, María Florencia  
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Pántano, Vanesa Cristina  
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Penalba, Olga Clorinda  
dc.date.available
2024-03-19T10:55:52Z  
dc.date.issued
2024-02  
dc.identifier.citation
Iacovone, María Florencia; Pántano, Vanesa Cristina; Penalba, Olga Clorinda; The relationship between ENSO, IOD and SAM with extreme rainfall over South America; Springer; Stochastic Environmental Research And Risk Assessment; 2-2024; 1-14  
dc.identifier.issn
1436-3240  
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http://hdl.handle.net/11336/230852  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ENSO  
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IOD  
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RAINFALL EXTREMES  
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SAM  
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SOUTH AMERICA  
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Investigación Climatológica  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
The relationship between ENSO, IOD and SAM with extreme rainfall over South America  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-03-19T10:28:21Z  
dc.identifier.eissn
1436-3259  
dc.journal.pagination
1-14  
dc.journal.pais
Alemania  
dc.description.fil
Fil: Iacovone, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina  
dc.description.fil
Fil: Pántano, Vanesa Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina  
dc.description.fil
Fil: Penalba, Olga Clorinda. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina  
dc.journal.title
Stochastic Environmental Research And Risk Assessment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00477-023-02653-4