Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America

Global climate models (GCMs) have, in general, problems representing precipitation over southern southeastern South America (SSESA), namely southern Brazil, Uruguay and eastern Argentina. In this study, 18 models were selected from the Coupled Model Inter-comparison Project Phase 5 to evaluate rainf...

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Publicado:	2018
Materias:	CMIP5 precipitation principal component analysis SESA stream function Precipitation (chemical) Principal component analysis Rain Coupled modeling Global climate model Mean precipitation Southeastern South America Southern Brazil Streamfunctions Climate models atmospheric general circulation model CMIP precipitation (climatology) rainfall Andes Argentina Brazil Uruguay
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v38_n15_p5476_Barros http://hdl.handle.net/20.500.12110/paper_08998418_v38_n15_p5476_Barros
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_08998418_v38_n15_p5476_Barros
record_format	dspace
spelling	paper:paper_08998418_v38_n15_p5476_Barros2023-06-08T15:49:49Z Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America CMIP5 precipitation principal component analysis SESA stream function Precipitation (chemical) Principal component analysis Rain CMIP5 Coupled modeling Global climate model Mean precipitation SESA Southeastern South America Southern Brazil Streamfunctions Climate models atmospheric general circulation model CMIP precipitation (climatology) principal component analysis rainfall Andes Argentina Brazil Uruguay Global climate models (GCMs) have, in general, problems representing precipitation over southern southeastern South America (SSESA), namely southern Brazil, Uruguay and eastern Argentina. In this study, 18 models were selected from the Coupled Model Inter-comparison Project Phase 5 to evaluate rainfall of the warm semester (October–March) when most of the rain takes place. Though GCMs reproduce the main features of the two main low-level circulation variability modes over southeastern South America, east of the Andes, particularly the two flow patterns associated with the active and weak SACZ, most of them underestimate the northern flow that brings water vapour into SSESA, as well as the mean precipitation in this region. According to an index that stands for the northern flow towards SSESA, all models, except one, have lower northern flow into SSESA than the observed reanalysis field. In addition, this index has a significant correlation across GCMs with mean SSESA precipitation, indicating that lower northern flow into SSESA is generally associated with a greater underestimation in the model precipitation. Hence, it is concluded that the weaker northern flow into SSESA simulated by most GCMs is a cause of their simulated lower precipitation in this region. © 2018 Royal Meteorological Society 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v38_n15_p5476_Barros http://hdl.handle.net/20.500.12110/paper_08998418_v38_n15_p5476_Barros
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	CMIP5 precipitation principal component analysis SESA stream function Precipitation (chemical) Principal component analysis Rain CMIP5 Coupled modeling Global climate model Mean precipitation SESA Southeastern South America Southern Brazil Streamfunctions Climate models atmospheric general circulation model CMIP precipitation (climatology) principal component analysis rainfall Andes Argentina Brazil Uruguay
spellingShingle	CMIP5 precipitation principal component analysis SESA stream function Precipitation (chemical) Principal component analysis Rain CMIP5 Coupled modeling Global climate model Mean precipitation SESA Southeastern South America Southern Brazil Streamfunctions Climate models atmospheric general circulation model CMIP precipitation (climatology) principal component analysis rainfall Andes Argentina Brazil Uruguay Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America
topic_facet	CMIP5 precipitation principal component analysis SESA stream function Precipitation (chemical) Principal component analysis Rain CMIP5 Coupled modeling Global climate model Mean precipitation SESA Southeastern South America Southern Brazil Streamfunctions Climate models atmospheric general circulation model CMIP precipitation (climatology) principal component analysis rainfall Andes Argentina Brazil Uruguay
description	Global climate models (GCMs) have, in general, problems representing precipitation over southern southeastern South America (SSESA), namely southern Brazil, Uruguay and eastern Argentina. In this study, 18 models were selected from the Coupled Model Inter-comparison Project Phase 5 to evaluate rainfall of the warm semester (October–March) when most of the rain takes place. Though GCMs reproduce the main features of the two main low-level circulation variability modes over southeastern South America, east of the Andes, particularly the two flow patterns associated with the active and weak SACZ, most of them underestimate the northern flow that brings water vapour into SSESA, as well as the mean precipitation in this region. According to an index that stands for the northern flow towards SSESA, all models, except one, have lower northern flow into SSESA than the observed reanalysis field. In addition, this index has a significant correlation across GCMs with mean SSESA precipitation, indicating that lower northern flow into SSESA is generally associated with a greater underestimation in the model precipitation. Hence, it is concluded that the weaker northern flow into SSESA simulated by most GCMs is a cause of their simulated lower precipitation in this region. © 2018 Royal Meteorological Society
title	Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America
title_short	Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America
title_full	Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America
title_fullStr	Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America
title_full_unstemmed	Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America
title_sort	low-level circulation and precipitation simulated by cmip5 gcms over southeastern south america
publishDate	2018
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v38_n15_p5476_Barros http://hdl.handle.net/20.500.12110/paper_08998418_v38_n15_p5476_Barros
_version_	1768542557666541568

Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America

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