Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models

Autores
Marengo, J.; Chou, S.; Mourao, C.; Solman, Silvina Alicia; Sanchez, E.; Samuelsson, P.; Da Rocha, R. P.; Li, L.; Pessacg, Natalia Liz; Remedio, A. R. C.; Carril, Andrea Fabiana; Cavalcanti, I. F.; Jacob. D.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The meteorological characteristics of the drought of 2005 in Amazonia, one of the most severe in the last 100 years were assessed using a suite of seven regional models obtained from the CLARIS LPB project. The models were forced with the ERA-Interim reanalyses as boundary conditions. We used a combination of rainfall and temperature observations and the low-level circulation and evaporation fields from the reanalyses to determine the climatic and meteorological characteristics of this particular drought. The models reproduce in some degree the observed annual cycle of precipitation and the geographical distribution of negative rainfall anomalies during the summer months of 2005. With respect to the evolution of rainfall during 2004–2006, some of the models were able to simulate the negative rainfall departures during early summer of 2005 (December 2004 to February 2005). The interannual variability of rainfall anomalies for both austral summer and fall over northern and southern Amazonia show a large spread among models, with some of them capable of reproducing the 2005 observed negative rainfall departures (four out of seven models in southern Amazonia during DJF). In comparison, all models simulated the observed southern Amazonia negative rainfall and positive air temperature anomalies during the El Nino-related drought in 1998. The spatial structure of the simulated rainfall and temperature anomalies in DJF and MAM 2005 shows biases that are different among models. While some models simulated the observed negative rainfall anomalies over parts of western and southern Amazonia during DJF, others simulated positive rainfall departures over central Amazonia. The simulated circulation patterns indicate a weaker northeasterly flow from the tropical North Atlantic into Amazonia, and reduced flows from southern Amazonia into the La Plata basin in DJF, which is consistent with observations. In general, we can say that in some degree the regional models are able to capture the response to the forcing from the tropical Atlantic during the drought of 2005 in Amazonia. Moreover, extreme climatic conditions in response to anomalous low-level circulation features are also well captured, since the boundary conditions come from reanalysis and the models are largely constrained by the information provided at the boundaries. The analysis of the 2005 drought suggests that when the forcing leading to extreme anomalous conditions is associated with both local and non-local mechanisms (soil moisture feedbacks and remote SST anomalies, respectively) the models are not fully capable of representing these feedbacks and hence, the associated anomalies. The reason may be a deficient reproduction of the land–atmosphere interactions.
Fil: Marengo, J.. Instituto Nacional de Pesquisas Espaciais. Centro de Ciência do Sistema Terrestre; Brasil
Fil: Chou, S.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Mourao, C.. Instituto Nacional de Pesquisas Espaciais. Centro de Ciência do Sistema Terrestre; Brasil
Fil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina
Fil: Sanchez, E.. Universidad de Castilla-La Mancha. Facultad Ciencias Ambientales y Bioquímica; España
Fil: Samuelsson, P.. Rossby Centre, Meteorological And Hydrological Institute Of Sweden; Suecia
Fil: Da Rocha, R. P.. Universidade de São Paulo. Departamento de Ciências Atmosféricas. Instituto de Astronomia, Geofísica e Ciências Atmosféricas; Brasil
Fil: Li, L.. Laboratoire de Me´te´orologie Dynamique; Francia
Fil: Pessacg, Natalia Liz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Remedio, A. R. C.. Max Planck Institute for Meteorology; Alemania
Fil: Carril, Andrea Fabiana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina
Fil: Cavalcanti, I. F.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Jacob. D.. Max Planck Institute for Meteorology; Alemania. Climate Services Center; Alemania
Materia
Amazonia
Drought
Downscaling
Regional Models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/4486

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network_name_str CONICET Digital (CONICET)
spelling Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate modelsMarengo, J.Chou, S.Mourao, C.Solman, Silvina AliciaSanchez, E.Samuelsson, P.Da Rocha, R. P.Li, L.Pessacg, Natalia LizRemedio, A. R. C.Carril, Andrea FabianaCavalcanti, I. F.Jacob. D.AmazoniaDroughtDownscalingRegional Modelshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The meteorological characteristics of the drought of 2005 in Amazonia, one of the most severe in the last 100 years were assessed using a suite of seven regional models obtained from the CLARIS LPB project. The models were forced with the ERA-Interim reanalyses as boundary conditions. We used a combination of rainfall and temperature observations and the low-level circulation and evaporation fields from the reanalyses to determine the climatic and meteorological characteristics of this particular drought. The models reproduce in some degree the observed annual cycle of precipitation and the geographical distribution of negative rainfall anomalies during the summer months of 2005. With respect to the evolution of rainfall during 2004–2006, some of the models were able to simulate the negative rainfall departures during early summer of 2005 (December 2004 to February 2005). The interannual variability of rainfall anomalies for both austral summer and fall over northern and southern Amazonia show a large spread among models, with some of them capable of reproducing the 2005 observed negative rainfall departures (four out of seven models in southern Amazonia during DJF). In comparison, all models simulated the observed southern Amazonia negative rainfall and positive air temperature anomalies during the El Nino-related drought in 1998. The spatial structure of the simulated rainfall and temperature anomalies in DJF and MAM 2005 shows biases that are different among models. While some models simulated the observed negative rainfall anomalies over parts of western and southern Amazonia during DJF, others simulated positive rainfall departures over central Amazonia. The simulated circulation patterns indicate a weaker northeasterly flow from the tropical North Atlantic into Amazonia, and reduced flows from southern Amazonia into the La Plata basin in DJF, which is consistent with observations. In general, we can say that in some degree the regional models are able to capture the response to the forcing from the tropical Atlantic during the drought of 2005 in Amazonia. Moreover, extreme climatic conditions in response to anomalous low-level circulation features are also well captured, since the boundary conditions come from reanalysis and the models are largely constrained by the information provided at the boundaries. The analysis of the 2005 drought suggests that when the forcing leading to extreme anomalous conditions is associated with both local and non-local mechanisms (soil moisture feedbacks and remote SST anomalies, respectively) the models are not fully capable of representing these feedbacks and hence, the associated anomalies. The reason may be a deficient reproduction of the land–atmosphere interactions.Fil: Marengo, J.. Instituto Nacional de Pesquisas Espaciais. Centro de Ciência do Sistema Terrestre; BrasilFil: Chou, S.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Mourao, C.. Instituto Nacional de Pesquisas Espaciais. Centro de Ciência do Sistema Terrestre; BrasilFil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; ArgentinaFil: Sanchez, E.. Universidad de Castilla-La Mancha. Facultad Ciencias Ambientales y Bioquímica; EspañaFil: Samuelsson, P.. Rossby Centre, Meteorological And Hydrological Institute Of Sweden; SueciaFil: Da Rocha, R. P.. Universidade de São Paulo. Departamento de Ciências Atmosféricas. Instituto de Astronomia, Geofísica e Ciências Atmosféricas; BrasilFil: Li, L.. Laboratoire de Me´te´orologie Dynamique; FranciaFil: Pessacg, Natalia Liz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Remedio, A. R. C.. Max Planck Institute for Meteorology; AlemaniaFil: Carril, Andrea Fabiana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; ArgentinaFil: Cavalcanti, I. F.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Jacob. D.. Max Planck Institute for Meteorology; Alemania. Climate Services Center; AlemaniaSpringer2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4486Marengo, J.; Chou, S.; Mourao, C.; Solman, Silvina Alicia; Sanchez, E.; et al.; Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models; Springer; Climate Dynamics; 41; 11; 12-2013; 2937-29550930-7575enginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s00382-013-1919-1info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-013-1919-1info:eu-repo/semantics/altIdentifier/issn/0930-7575info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:22Zoai:ri.conicet.gov.ar:11336/4486instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:57:22.461CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
title Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
spellingShingle Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
Marengo, J.
Amazonia
Drought
Downscaling
Regional Models
title_short Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
title_full Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
title_fullStr Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
title_full_unstemmed Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
title_sort Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models
dc.creator.none.fl_str_mv Marengo, J.
Chou, S.
Mourao, C.
Solman, Silvina Alicia
Sanchez, E.
Samuelsson, P.
Da Rocha, R. P.
Li, L.
Pessacg, Natalia Liz
Remedio, A. R. C.
Carril, Andrea Fabiana
Cavalcanti, I. F.
Jacob. D.
author Marengo, J.
author_facet Marengo, J.
Chou, S.
Mourao, C.
Solman, Silvina Alicia
Sanchez, E.
Samuelsson, P.
Da Rocha, R. P.
Li, L.
Pessacg, Natalia Liz
Remedio, A. R. C.
Carril, Andrea Fabiana
Cavalcanti, I. F.
Jacob. D.
author_role author
author2 Chou, S.
Mourao, C.
Solman, Silvina Alicia
Sanchez, E.
Samuelsson, P.
Da Rocha, R. P.
Li, L.
Pessacg, Natalia Liz
Remedio, A. R. C.
Carril, Andrea Fabiana
Cavalcanti, I. F.
Jacob. D.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Amazonia
Drought
Downscaling
Regional Models
topic Amazonia
Drought
Downscaling
Regional Models
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The meteorological characteristics of the drought of 2005 in Amazonia, one of the most severe in the last 100 years were assessed using a suite of seven regional models obtained from the CLARIS LPB project. The models were forced with the ERA-Interim reanalyses as boundary conditions. We used a combination of rainfall and temperature observations and the low-level circulation and evaporation fields from the reanalyses to determine the climatic and meteorological characteristics of this particular drought. The models reproduce in some degree the observed annual cycle of precipitation and the geographical distribution of negative rainfall anomalies during the summer months of 2005. With respect to the evolution of rainfall during 2004–2006, some of the models were able to simulate the negative rainfall departures during early summer of 2005 (December 2004 to February 2005). The interannual variability of rainfall anomalies for both austral summer and fall over northern and southern Amazonia show a large spread among models, with some of them capable of reproducing the 2005 observed negative rainfall departures (four out of seven models in southern Amazonia during DJF). In comparison, all models simulated the observed southern Amazonia negative rainfall and positive air temperature anomalies during the El Nino-related drought in 1998. The spatial structure of the simulated rainfall and temperature anomalies in DJF and MAM 2005 shows biases that are different among models. While some models simulated the observed negative rainfall anomalies over parts of western and southern Amazonia during DJF, others simulated positive rainfall departures over central Amazonia. The simulated circulation patterns indicate a weaker northeasterly flow from the tropical North Atlantic into Amazonia, and reduced flows from southern Amazonia into the La Plata basin in DJF, which is consistent with observations. In general, we can say that in some degree the regional models are able to capture the response to the forcing from the tropical Atlantic during the drought of 2005 in Amazonia. Moreover, extreme climatic conditions in response to anomalous low-level circulation features are also well captured, since the boundary conditions come from reanalysis and the models are largely constrained by the information provided at the boundaries. The analysis of the 2005 drought suggests that when the forcing leading to extreme anomalous conditions is associated with both local and non-local mechanisms (soil moisture feedbacks and remote SST anomalies, respectively) the models are not fully capable of representing these feedbacks and hence, the associated anomalies. The reason may be a deficient reproduction of the land–atmosphere interactions.
Fil: Marengo, J.. Instituto Nacional de Pesquisas Espaciais. Centro de Ciência do Sistema Terrestre; Brasil
Fil: Chou, S.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Mourao, C.. Instituto Nacional de Pesquisas Espaciais. Centro de Ciência do Sistema Terrestre; Brasil
Fil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina
Fil: Sanchez, E.. Universidad de Castilla-La Mancha. Facultad Ciencias Ambientales y Bioquímica; España
Fil: Samuelsson, P.. Rossby Centre, Meteorological And Hydrological Institute Of Sweden; Suecia
Fil: Da Rocha, R. P.. Universidade de São Paulo. Departamento de Ciências Atmosféricas. Instituto de Astronomia, Geofísica e Ciências Atmosféricas; Brasil
Fil: Li, L.. Laboratoire de Me´te´orologie Dynamique; Francia
Fil: Pessacg, Natalia Liz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Remedio, A. R. C.. Max Planck Institute for Meteorology; Alemania
Fil: Carril, Andrea Fabiana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina
Fil: Cavalcanti, I. F.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Jacob. D.. Max Planck Institute for Meteorology; Alemania. Climate Services Center; Alemania
description The meteorological characteristics of the drought of 2005 in Amazonia, one of the most severe in the last 100 years were assessed using a suite of seven regional models obtained from the CLARIS LPB project. The models were forced with the ERA-Interim reanalyses as boundary conditions. We used a combination of rainfall and temperature observations and the low-level circulation and evaporation fields from the reanalyses to determine the climatic and meteorological characteristics of this particular drought. The models reproduce in some degree the observed annual cycle of precipitation and the geographical distribution of negative rainfall anomalies during the summer months of 2005. With respect to the evolution of rainfall during 2004–2006, some of the models were able to simulate the negative rainfall departures during early summer of 2005 (December 2004 to February 2005). The interannual variability of rainfall anomalies for both austral summer and fall over northern and southern Amazonia show a large spread among models, with some of them capable of reproducing the 2005 observed negative rainfall departures (four out of seven models in southern Amazonia during DJF). In comparison, all models simulated the observed southern Amazonia negative rainfall and positive air temperature anomalies during the El Nino-related drought in 1998. The spatial structure of the simulated rainfall and temperature anomalies in DJF and MAM 2005 shows biases that are different among models. While some models simulated the observed negative rainfall anomalies over parts of western and southern Amazonia during DJF, others simulated positive rainfall departures over central Amazonia. The simulated circulation patterns indicate a weaker northeasterly flow from the tropical North Atlantic into Amazonia, and reduced flows from southern Amazonia into the La Plata basin in DJF, which is consistent with observations. In general, we can say that in some degree the regional models are able to capture the response to the forcing from the tropical Atlantic during the drought of 2005 in Amazonia. Moreover, extreme climatic conditions in response to anomalous low-level circulation features are also well captured, since the boundary conditions come from reanalysis and the models are largely constrained by the information provided at the boundaries. The analysis of the 2005 drought suggests that when the forcing leading to extreme anomalous conditions is associated with both local and non-local mechanisms (soil moisture feedbacks and remote SST anomalies, respectively) the models are not fully capable of representing these feedbacks and hence, the associated anomalies. The reason may be a deficient reproduction of the land–atmosphere interactions.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/4486
Marengo, J.; Chou, S.; Mourao, C.; Solman, Silvina Alicia; Sanchez, E.; et al.; Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models; Springer; Climate Dynamics; 41; 11; 12-2013; 2937-2955
0930-7575
url http://hdl.handle.net/11336/4486
identifier_str_mv Marengo, J.; Chou, S.; Mourao, C.; Solman, Silvina Alicia; Sanchez, E.; et al.; Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models; Springer; Climate Dynamics; 41; 11; 12-2013; 2937-2955
0930-7575
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s00382-013-1919-1
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-013-1919-1
info:eu-repo/semantics/altIdentifier/issn/0930-7575
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
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dc.publisher.none.fl_str_mv Springer
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