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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Detalles Bibliográficos
Autores principales: Barros, V.R., Doyle, M.E.
Formato: JOUR
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: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 todo:paper_08998418_v38_n15_p5476_Barros
record_format dspace
spelling todo:paper_08998418_v38_n15_p5476_Barros2023-10-03T15:44:29Z Low-level circulation and precipitation simulated by CMIP5 GCMS over southeastern South America Barros, V.R. Doyle, M.E. 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 JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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
Barros, V.R.
Doyle, M.E.
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
format JOUR
author Barros, V.R.
Doyle, M.E.
author_facet Barros, V.R.
Doyle, M.E.
author_sort Barros, V.R.
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
url http://hdl.handle.net/20.500.12110/paper_08998418_v38_n15_p5476_Barros
work_keys_str_mv AT barrosvr lowlevelcirculationandprecipitationsimulatedbycmip5gcmsoversoutheasternsouthamerica
AT doyleme lowlevelcirculationandprecipitationsimulatedbycmip5gcmsoversoutheasternsouthamerica
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