Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models

RESUMEN: Northern South America is identified as one of the most vulnerable regions to be affected by climate change. Furthermore, recent extreme wet seasons over the region have induced socioeconomic impacts of wide proportions. Hence, the evaluation of rainfall simulations at seasonal and interann...

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Autores:
Arias Gómez, Paola Andrea
Vieira Agudelo, Sara Cristina
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/7626
Acceso en línea:
http://hdl.handle.net/10495/7626
Palabra clave:
Cambio climático
Precipitación controlada
Radiación
Rights
openAccess
License
https://creativecommons.org/licenses/by/2.5/co/
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dc.title.spa.fl_str_mv Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
title Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
spellingShingle Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
Cambio climático
Precipitación controlada
Radiación
title_short Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
title_full Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
title_fullStr Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
title_full_unstemmed Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
title_sort Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models
dc.creator.fl_str_mv Arias Gómez, Paola Andrea
Vieira Agudelo, Sara Cristina
dc.contributor.author.none.fl_str_mv Arias Gómez, Paola Andrea
Vieira Agudelo, Sara Cristina
dc.contributor.researchgroup.spa.fl_str_mv Grupo de Ingeniería y Gestión Ambiental (GIGA)
dc.subject.none.fl_str_mv Cambio climático
Precipitación controlada
Radiación
topic Cambio climático
Precipitación controlada
Radiación
description RESUMEN: Northern South America is identified as one of the most vulnerable regions to be affected by climate change. Furthermore, recent extreme wet seasons over the region have induced socioeconomic impacts of wide proportions. Hence, the evaluation of rainfall simulations at seasonal and interannual time scales by the CMIP5 models is urgently required.Here,we evaluated the ability of seven CMIP5models (selected based on literature review) to represent the seasonalmean precipitation and its interannual variability over northern SouthAmerica.Our results suggest that it is easier formodels to reproduce rainfall distribution during boreal summer and fall over both oceans and land. This is probably due to the fact that during these seasons, incoming radiation and ocean-atmosphere feedbacks over Atlantic and Pacific oceans locate the ITCZ on the Northern Hemisphere, as suggested by previous studies.Models exhibit the worse simulations during boreal winter and spring, when these processes have opposite effects locating the ITCZ. Our results suggest that the models with a better representation of the oceanic ITCZ and the local low-level jets over northern South America, such as the Choco low-level jet, are able to realistically simulate the main features of seasonal precipitation pattern over northern South America.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2017-07-13T16:51:42Z
dc.date.available.none.fl_str_mv 2017-07-13T16:51:42Z
dc.type.spa.fl_str_mv Artículo de investigación
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dc.identifier.citation.spa.fl_str_mv J. P. Sierra, P. A. Arias and S. C. Vieira, "Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models", Advances In Meteorology, vol.2015 p.1 - 22, 2015. DOI: 10.1155/2015/634720
dc.identifier.issn.none.fl_str_mv 1687-9317
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/7626
dc.identifier.doi.none.fl_str_mv 10.1155/2015/634720
identifier_str_mv J. P. Sierra, P. A. Arias and S. C. Vieira, "Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models", Advances In Meteorology, vol.2015 p.1 - 22, 2015. DOI: 10.1155/2015/634720
1687-9317
10.1155/2015/634720
url http://hdl.handle.net/10495/7626
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Advances In Meteorology
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dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 2015
dc.relation.ispartofjournal.spa.fl_str_mv Advances In Meteorology
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spelling Arias Gómez, Paola AndreaVieira Agudelo, Sara CristinaGrupo de Ingeniería y Gestión Ambiental (GIGA)2017-07-13T16:51:42Z2017-07-13T16:51:42Z2015J. P. Sierra, P. A. Arias and S. C. Vieira, "Precipitation over Northern South America and Its Seasonal Variability as Simulated by the CMIP5 Models", Advances In Meteorology, vol.2015 p.1 - 22, 2015. DOI: 10.1155/2015/6347201687-9317http://hdl.handle.net/10495/762610.1155/2015/634720RESUMEN: Northern South America is identified as one of the most vulnerable regions to be affected by climate change. Furthermore, recent extreme wet seasons over the region have induced socioeconomic impacts of wide proportions. Hence, the evaluation of rainfall simulations at seasonal and interannual time scales by the CMIP5 models is urgently required.Here,we evaluated the ability of seven CMIP5models (selected based on literature review) to represent the seasonalmean precipitation and its interannual variability over northern SouthAmerica.Our results suggest that it is easier formodels to reproduce rainfall distribution during boreal summer and fall over both oceans and land. This is probably due to the fact that during these seasons, incoming radiation and ocean-atmosphere feedbacks over Atlantic and Pacific oceans locate the ITCZ on the Northern Hemisphere, as suggested by previous studies.Models exhibit the worse simulations during boreal winter and spring, when these processes have opposite effects locating the ITCZ. 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