Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies
Work presented also at: Observing & Modeling Climate Variability in the Intra-Americas Seas & Impacts on the Continental Americas and Caribbean (https://usclivar.org/meetings/2015-iasclip-virtual-workshop) and at: International Conference on Southern Hemisphere Meteorology and Oceanography,...
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ftunivcostarica:oai:https://www.kerwa.ucr.ac.cr:10669/15271 2023-05-15T17:36:33+02:00 Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies Alfaro Martínez, Eric J. Quesada Montano, Beatriz Hidalgo León, Hugo G. 2015-10 application/pdf https://hdl.handle.net/10669/15271 http://icshmo-2015.com/ en_US eng http://icshmo-2015.com/ Abstract Nº ID: 125 https://hdl.handle.net/10669/15271 805-B3-413 805-A9-224 805-B4-227 805-A9-532 805-B3-600 805-A7-002 805-B0-810 805-B0-065 Atribución-NoComercial-SinDerivadas 3.0 Costa Rica http://creativecommons.org/licenses/by-nc-nd/3.0/cr/ CC-BY-NC-ND Climate Change Trends Climate Variability Central America Precipitation Temperature póster de congreso 2015 ftunivcostarica 2022-10-30T05:45:36Z Work presented also at: Observing & Modeling Climate Variability in the Intra-Americas Seas & Impacts on the Continental Americas and Caribbean (https://usclivar.org/meetings/2015-iasclip-virtual-workshop) and at: International Conference on Southern Hemisphere Meteorology and Oceanography, (11th, Santiago, Chile, October 5-9 2015). Average temperature (Tavg) data from stations and station-based gridded datasets at 50 km resolution were used to provide a high-resolution (5 km grid) dataset for Central America from 1970 to 1999. The procedure used was a modification of the PRISM (Parameter-elevation Regressions on Independent Slopes) method. A high-resolution precipitation (P) data was used along with the air temperature (Tavg) data to study climate variability. Adapting to climate variability helps to adapt to climate change. The high spatial resolution of the P and Tavg data is ideal for determining the spatial patterns associated with large-scale atmospheric and oceanic indexes. Consistently with other studies, it was found that the 1970-1999 trends in P are generally non-significant, with the exception of a few small locations. In the case of Tavg, there were significant warming trends in most of Central America, and cooling trends in Honduras and northern Panama. The contrast or agreement in the sign of the sea surface temperature (SST) anomalies between the tropical Pacific and tropical Atlantic is a good indicator of the sign of the P and Tavg annual anomalies. El Niño-Southern Oscillation (ENSO) is related to precipitation in a large part of the Pacific slope of Central America. The influence of the contrast between the Pacific and Atlantic SSTs, and also of the Caribbean Low-Level Jet (CLLJ) on P is very important. Tavg is related to ENSO, the Tropical North Atlantic index and the summation of both indexes. Within the modes of variability obtained from Rotated Empirical Orthogonal Function (REOF) Analysis and Canonical Correlation Analysis a P-REOF mode representing the variations above 10oN is ... Other/Unknown Material North Atlantic Universidad de Costa Rica: Repositorio Kérwá Pacific |
institution |
Open Polar |
collection |
Universidad de Costa Rica: Repositorio Kérwá |
op_collection_id |
ftunivcostarica |
language |
English |
topic |
Climate Change Trends Climate Variability Central America Precipitation Temperature |
spellingShingle |
Climate Change Trends Climate Variability Central America Precipitation Temperature Alfaro Martínez, Eric J. Quesada Montano, Beatriz Hidalgo León, Hugo G. Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies |
topic_facet |
Climate Change Trends Climate Variability Central America Precipitation Temperature |
description |
Work presented also at: Observing & Modeling Climate Variability in the Intra-Americas Seas & Impacts on the Continental Americas and Caribbean (https://usclivar.org/meetings/2015-iasclip-virtual-workshop) and at: International Conference on Southern Hemisphere Meteorology and Oceanography, (11th, Santiago, Chile, October 5-9 2015). Average temperature (Tavg) data from stations and station-based gridded datasets at 50 km resolution were used to provide a high-resolution (5 km grid) dataset for Central America from 1970 to 1999. The procedure used was a modification of the PRISM (Parameter-elevation Regressions on Independent Slopes) method. A high-resolution precipitation (P) data was used along with the air temperature (Tavg) data to study climate variability. Adapting to climate variability helps to adapt to climate change. The high spatial resolution of the P and Tavg data is ideal for determining the spatial patterns associated with large-scale atmospheric and oceanic indexes. Consistently with other studies, it was found that the 1970-1999 trends in P are generally non-significant, with the exception of a few small locations. In the case of Tavg, there were significant warming trends in most of Central America, and cooling trends in Honduras and northern Panama. The contrast or agreement in the sign of the sea surface temperature (SST) anomalies between the tropical Pacific and tropical Atlantic is a good indicator of the sign of the P and Tavg annual anomalies. El Niño-Southern Oscillation (ENSO) is related to precipitation in a large part of the Pacific slope of Central America. The influence of the contrast between the Pacific and Atlantic SSTs, and also of the Caribbean Low-Level Jet (CLLJ) on P is very important. Tavg is related to ENSO, the Tropical North Atlantic index and the summation of both indexes. Within the modes of variability obtained from Rotated Empirical Orthogonal Function (REOF) Analysis and Canonical Correlation Analysis a P-REOF mode representing the variations above 10oN is ... |
format |
Other/Unknown Material |
author |
Alfaro Martínez, Eric J. Quesada Montano, Beatriz Hidalgo León, Hugo G. |
author_facet |
Alfaro Martínez, Eric J. Quesada Montano, Beatriz Hidalgo León, Hugo G. |
author_sort |
Alfaro Martínez, Eric J. |
title |
Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies |
title_short |
Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies |
title_full |
Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies |
title_fullStr |
Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies |
title_full_unstemmed |
Observed (1970-1999) climate variability in Central America using a high-resolution meteorological dataset with potential for climate change studies |
title_sort |
observed (1970-1999) climate variability in central america using a high-resolution meteorological dataset with potential for climate change studies |
publishDate |
2015 |
url |
https://hdl.handle.net/10669/15271 http://icshmo-2015.com/ |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://icshmo-2015.com/ Abstract Nº ID: 125 https://hdl.handle.net/10669/15271 805-B3-413 805-A9-224 805-B4-227 805-A9-532 805-B3-600 805-A7-002 805-B0-810 805-B0-065 |
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_ |
1766136067116761088 |