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dc.contributor.authorAlfaro Martínez, Eric J.es_ES
dc.date.accessioned2017-08-09T14:53:14Z
dc.date.available2017-08-09T14:53:14Z
dc.date.issued1999-11
dc.identifier.urihttp://hdl.handle.net/10669/72950
dc.descriptionSugerencia para su referencia: Alfaro, E., 1999. “A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean”. Paper Presented in the First Workshop on Regional Climate Prediction and Applications-Tropical Atlantic Basin, staged by Cooperative Institute for Mesoscale Meteorological Studies, The University of Oklahoma, Norman, Ok, USA. October 11- November 12, 1999. College of Continuing Education, The University of Oklahoma, Norman, Ok, USA.es_ES
dc.description.abstractPrincipal Component Analysis was used to identity common anomaly patterns amongst 72 rainfall gauge stations in Central America during October, in order to identify stations to from October Rainfall Indices. October was chosen because it represents the center of the rainfall seasons, and previous studies have shown how ocean-atmosphere relations with Central America rainfall vary according to the rainfall month. Five rainfall regions where identifies through this process, and the standardized rainfall anomaly time series was calculated for each region. A Multivariate Regression model was fitted to quantify the ocean-atmosphere interaction between the Tropical Pacific and Atlantic Ocean indices and each of the Rainfall indices. These models show that the Niño 4 region has the largest influence over the region when compared with the influence of other candidate ocean indices, Niño 4 having negative correlation with all the Rainfall Indices. In addition, the Tropical North Atlantic index was found to have positive correlations with some of the Central America October rainfall regions. This work shows that the variability of the Tropical Eastern Pacific sea surface anomaly (SSTA) presents stronger associations with the October Central America rainfall, than the Tropical North Atlantic SSTA. This is in contrast to stationary studies, which was previously shown to be more strongly associated with the Tropical North Atlantic SSTA. It is though that the October result is mainly related to the Pacific SSTAs modifying the depth and degree of development of mesoscale convection.es_ES
dc.description.sponsorshipUniversidad de Costa Rica/[112-99-305]/UCR/Costa Ricaes_ES
dc.description.sponsorshipUniversidad de Costa Rica/[805-94-204]/UCR/Costa Ricaes_ES
dc.language.isoen_USes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Costa Rica*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cr/*
dc.sourceFirst Workshop on Regional Climate Prediction and Applications-Tropical Atlantic Basin. Norman, United States : University of Oklahomaes_ES
dc.subjectSeasonal Climate Predicctiones_ES
dc.subjectCentral Americaes_ES
dc.subjectRainfalles_ES
dc.subjectMultivariate Regression Modeles_ES
dc.titleA Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Oceanes_ES
dc.typeinfo:eu-repo/semantics/reportes_ES
dc.typeInforme de investigaciónes_ES
dc.description.procedenceUCR::Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)es_ES
dc.identifier.codproyecto112-99-305
dc.identifier.codproyecto805-94-204


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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