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dc.creatorCid Serrano, Luis Ramón
dc.creatorRamírez Buelvas, Sandra Milena
dc.creatorAlfaro Martínez, Eric J.
dc.creatorEnfield, David B.
dc.date.accessioned2013-10-22T22:48:42Z
dc.date.available2013-10-22T22:48:42Z
dc.date.issued2013-10-16
dc.identifier.citationhttp://www.atmosferaoceanoyclima.cl/es_ES
dc.identifier.otherVC.P3
dc.identifier.urihttp://hdl.handle.net/10669/1411es_ES
dc.descriptionposter -- Universidad de Costa Rica. Centro de Investigaciones Geofísicas, 2013. Sugerencia para referencias: - Cid, L., S. Ramírez, E. Alfaro & D. Enfield, 2013. Discrete analysis for the America west coast rainfall predictability using El Niño/Southern Oscillation relationships. Memorias del 3er Congreso de Oceanografía Física, Meteorología y Clima del Pacífico Suroriental. Sesión de Variabilidad Climática (poster VC.P3). Santiago, Chile. 16-18 de octubre de 2013.es_ES
dc.description.abstractThe objective of the study was to determine the probability of occurrence of wet or dry season events, based on the phase of El Niño/Southern Oscillation (ENSO) phenomenon using multinomial response logit and logit regression models. The study used monthly time series of the Pacific equatorial sea surface temperature (SST), a sea level pressure index (SOI) and rainfall anomalies over a 2.5x2.5 degrees grid along the west coast of Central and South America, for latitudes starting at 25°N, through 45°S, since 1951 to 2011. An ENSO index (NSO) was defined as predictor and rainfall as response. Series were first transformed into trimesters, replacing data by the three months average of the seasons DJF – MAM –JJA - SON. Data was categorized into terciles to construct non symmetrical three way contingency tables, including a time lagged categorization of the predictor variable (NSO). Two types of latitudinal profiles of the predictability (association), for the West Coast of Central and South America, using ENSO as predictor were generated as results. One using the categorized NSO index, using a multinomial response logit model to estimate the probabilities at the corners, of the contingency tables, representing the chances of extreme events of rainfall, given the El Niño and La Niña events and a second using multinomial response logit regression models, to estimate the same rainfall events, but using the NSO as a continuous predictor in which the NSO index was used as continuous predictor. The analysis was performed for all the contingency tables, particularly for the “corner cells” and the results were plotted as latitudinal profiles.es_ES
dc.description.sponsorshipUniversidad de Costa Rica, IPGH, IAI, FI&Fes_ES
dc.language.isoen_USes_ES
dc.publisherMemorias del Tercer Congreso de Oceanografía Física, Meteorología y Clima del Pacífico Sur Orientales_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Costa Rica*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cr/*
dc.subjectEl Niñoes_ES
dc.subjectENSOes_ES
dc.subjectRaines_ES
dc.subjectWeather modificationes_ES
dc.titleDiscrete analysis for the America west coast rainfall predictability using El Niño/Southern Oscillation relationshipses_ES
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.typeObjeto de conferencia
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)es_ES
dc.identifier.codproyecto808-A9-180
dc.identifier.codproyecto805-A8-606


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Atribución-NoComercial-SinDerivadas 3.0 Costa Rica
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 Costa Rica