A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean
Sugerencia 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, sta...
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ftunivcostarica:oai:https://www.kerwa.ucr.ac.cr:10669/72950 2023-05-15T17:30:12+02:00 A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean Alfaro Martínez, Eric J. 1999-11 application/pdf https://hdl.handle.net/10669/72950 en_US eng https://hdl.handle.net/10669/72950 112-99-305 805-94-204 Atribución-NoComercial-SinDerivadas 3.0 Costa Rica http://creativecommons.org/licenses/by-nc-nd/3.0/cr/ CC-BY-NC-ND First Workshop on Regional Climate Prediction and Applications-Tropical Atlantic Basin. Norman, United States : University of Oklahoma Seasonal Climate Predicction Central America Rainfall Multivariate Regression Model informe de investigación 1999 ftunivcostarica 2022-10-30T05:46:34Z Sugerencia 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. Principal 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 ... Other/Unknown Material North Atlantic Universidad de Costa Rica: Repositorio Kérwá Alfaro ENVELOPE(-60.967,-60.967,-64.200,-64.200) Pacific Referencia |
institution |
Open Polar |
collection |
Universidad de Costa Rica: Repositorio Kérwá |
op_collection_id |
ftunivcostarica |
language |
English |
topic |
Seasonal Climate Predicction Central America Rainfall Multivariate Regression Model |
spellingShingle |
Seasonal Climate Predicction Central America Rainfall Multivariate Regression Model Alfaro Martínez, Eric J. A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean |
topic_facet |
Seasonal Climate Predicction Central America Rainfall Multivariate Regression Model |
description |
Sugerencia 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. Principal 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 ... |
format |
Other/Unknown Material |
author |
Alfaro Martínez, Eric J. |
author_facet |
Alfaro Martínez, Eric J. |
author_sort |
Alfaro Martínez, Eric J. |
title |
A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean |
title_short |
A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean |
title_full |
A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean |
title_fullStr |
A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean |
title_full_unstemmed |
A Multivariate Regression Model Between the October Rainfall Anomalies in Central America and the Tropical Pacific and Atlantic Ocean |
title_sort |
multivariate regression model between the october rainfall anomalies in central america and the tropical pacific and atlantic ocean |
publishDate |
1999 |
url |
https://hdl.handle.net/10669/72950 |
long_lat |
ENVELOPE(-60.967,-60.967,-64.200,-64.200) |
geographic |
Alfaro Pacific Referencia |
geographic_facet |
Alfaro Pacific Referencia |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
First Workshop on Regional Climate Prediction and Applications-Tropical Atlantic Basin. Norman, United States : University of Oklahoma |
op_relation |
https://hdl.handle.net/10669/72950 112-99-305 805-94-204 |
op_rights |
Atribución-NoComercial-SinDerivadas 3.0 Costa Rica http://creativecommons.org/licenses/by-nc-nd/3.0/cr/ |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766126026854760448 |