Mostrar el registro sencillo del ítem
dc.contributor.author
Iacovone, María Florencia
dc.contributor.author
Pántano, Vanesa Cristina
dc.contributor.author
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
dc.identifier.uri
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
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ENSO
dc.subject
IOD
dc.subject
RAINFALL EXTREMES
dc.subject
SAM
dc.subject
SOUTH AMERICA
dc.subject.classification
Investigación Climatológica
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
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
Archivos asociados