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spelling paperaa:paper_08998418_v33_n4_p904_Blazquez2023-06-12T16:48:34Z Performance of a high resolution global model over southern South America Int. J. Climatol. 2013;33(4):904-919 Blázquez, J. Nuñez, M.N. Global model Present climate Southern South America Validation Annual cycle Argentina Atmospheric circulation Atmospheric circulation patterns Austral summers Austral winter Climate simulation Global models High resolution Interannual variability Meteorological agency Meteorological research institutes Mountainous area Precipitation trends Present climate Southern south america Spatial structure Surface variables Temperature trends Temperature variability Validation Climatology Computer simulation Lasers Space applications Climate models air temperature annual variation atmospheric circulation climate modeling global climate numerical model performance assessment precipitation assessment trend analysis Argentina Brazil This paper evaluates a present climate simulation over southern South America performed with the Meteorological Research Institute/Japanese Meteorological Agency (MRI/JMA) high resolution global model. Main patterns of low and upper-level atmospheric circulation were analysed in a 25-year simulation as well as climate means, interannual variability, trends and bias of temperature and precipitation. The model is able to reproduce the main atmospheric circulation patterns and mean surface variables, although some deficiencies were found such as an overestimation of temperature over central Argentina in most of seasons, an overestimation of austral winter precipitation over northeastern and central Argentina, an underestimation of precipitation in all the seasons over southeast of Brazil, an underestimation of the amplitude of the annual cycle temperature in some regions and an overestimation of the amplitude of the annual cycle of precipitation over mountainous areas. Model interannual variability was also assessed. In general, temperature variability is overestimated, whereas precipitation is underestimated. The spatial structure of the year-to-year variability of precipitation is correctly simulated by the model, although some patterns were misplaced. Most of regions present a cold seasonal bias reaching values of - 2 °C in some regions. It was found that precipitation biases are between 3 and - 1 mm day-1. In some regions and seasons observed and simulated temperature trends coincide, as in austral summer or spring, where the model and the observations show positive trends in most of regions. However, there is no agreement between observed and simulated precipitation trends in almost all the regions and seasons. © 2012 Royal Meteorological Society. Fil:Blázquez, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Nuñez, M.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2013 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08998418_v33_n4_p904_Blazquez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
topic Global model
Present climate
Southern South America
Validation
Annual cycle
Argentina
Atmospheric circulation
Atmospheric circulation patterns
Austral summers
Austral winter
Climate simulation
Global models
High resolution
Interannual variability
Meteorological agency
Meteorological research institutes
Mountainous area
Precipitation trends
Present climate
Southern south america
Spatial structure
Surface variables
Temperature trends
Temperature variability
Validation
Climatology
Computer simulation
Lasers
Space applications
Climate models
air temperature
annual variation
atmospheric circulation
climate modeling
global climate
numerical model
performance assessment
precipitation assessment
trend analysis
Argentina
Brazil
spellingShingle Global model
Present climate
Southern South America
Validation
Annual cycle
Argentina
Atmospheric circulation
Atmospheric circulation patterns
Austral summers
Austral winter
Climate simulation
Global models
High resolution
Interannual variability
Meteorological agency
Meteorological research institutes
Mountainous area
Precipitation trends
Present climate
Southern south america
Spatial structure
Surface variables
Temperature trends
Temperature variability
Validation
Climatology
Computer simulation
Lasers
Space applications
Climate models
air temperature
annual variation
atmospheric circulation
climate modeling
global climate
numerical model
performance assessment
precipitation assessment
trend analysis
Argentina
Brazil
Blázquez, J.
Nuñez, M.N.
Performance of a high resolution global model over southern South America
topic_facet Global model
Present climate
Southern South America
Validation
Annual cycle
Argentina
Atmospheric circulation
Atmospheric circulation patterns
Austral summers
Austral winter
Climate simulation
Global models
High resolution
Interannual variability
Meteorological agency
Meteorological research institutes
Mountainous area
Precipitation trends
Present climate
Southern south america
Spatial structure
Surface variables
Temperature trends
Temperature variability
Validation
Climatology
Computer simulation
Lasers
Space applications
Climate models
air temperature
annual variation
atmospheric circulation
climate modeling
global climate
numerical model
performance assessment
precipitation assessment
trend analysis
Argentina
Brazil
description This paper evaluates a present climate simulation over southern South America performed with the Meteorological Research Institute/Japanese Meteorological Agency (MRI/JMA) high resolution global model. Main patterns of low and upper-level atmospheric circulation were analysed in a 25-year simulation as well as climate means, interannual variability, trends and bias of temperature and precipitation. The model is able to reproduce the main atmospheric circulation patterns and mean surface variables, although some deficiencies were found such as an overestimation of temperature over central Argentina in most of seasons, an overestimation of austral winter precipitation over northeastern and central Argentina, an underestimation of precipitation in all the seasons over southeast of Brazil, an underestimation of the amplitude of the annual cycle temperature in some regions and an overestimation of the amplitude of the annual cycle of precipitation over mountainous areas. Model interannual variability was also assessed. In general, temperature variability is overestimated, whereas precipitation is underestimated. The spatial structure of the year-to-year variability of precipitation is correctly simulated by the model, although some patterns were misplaced. Most of regions present a cold seasonal bias reaching values of - 2 °C in some regions. It was found that precipitation biases are between 3 and - 1 mm day-1. In some regions and seasons observed and simulated temperature trends coincide, as in austral summer or spring, where the model and the observations show positive trends in most of regions. However, there is no agreement between observed and simulated precipitation trends in almost all the regions and seasons. © 2012 Royal Meteorological Society.
format Artículo
Artículo
publishedVersion
author Blázquez, J.
Nuñez, M.N.
author_facet Blázquez, J.
Nuñez, M.N.
author_sort Blázquez, J.
title Performance of a high resolution global model over southern South America
title_short Performance of a high resolution global model over southern South America
title_full Performance of a high resolution global model over southern South America
title_fullStr Performance of a high resolution global model over southern South America
title_full_unstemmed Performance of a high resolution global model over southern South America
title_sort performance of a high resolution global model over southern south america
publishDate 2013
url http://hdl.handle.net/20.500.12110/paper_08998418_v33_n4_p904_Blazquez
work_keys_str_mv AT blazquezj performanceofahighresolutionglobalmodeloversouthernsouthamerica
AT nunezmn performanceofahighresolutionglobalmodeloversouthernsouthamerica
_version_ 1769810237291757568