An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability

In this study we examine the performance of eight of the IPCC AR4 global coupled climate models used in the WCRP CMIP3 Multimodel Dataset, as well as their ensemble mean, in simulating annual indices of extreme temperature and precipitation climate events in South America. In this first part we focu...

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Autores principales: Rusticucci, M., Marengo, J., Penalba, O., Renom, M.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p493_Rusticucci
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spelling todo:paper_01650009_v98_n3_p493_Rusticucci2023-10-03T15:02:28Z An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability Rusticucci, M. Marengo, J. Penalba, O. Renom, M. Amazon region Climate event Coupled climate model Data sets Dry seasons Extreme precipitation Extreme rainfall Extreme temperature indices Extreme temperatures Frost days Interannual variability Intercomparisons Local climate Mean values Meteorological station Model outputs Multi-model South America Twentieth century Warm nights Climate change Precipitation (meteorology) Climate models annual variation climate modeling data set dry season Intergovernmental Panel on Climate Change precipitation (climatology) simulation temperature effect twentieth century weather station South America In this study we examine the performance of eight of the IPCC AR4 global coupled climate models used in the WCRP CMIP3 Multimodel Dataset, as well as their ensemble mean, in simulating annual indices of extreme temperature and precipitation climate events in South America. In this first part we focus on comparing observed and modeled mean values and interannual variability. Two extreme temperature indices based on minimum temperature (warm nights and frost days) and three indices of extreme precipitation (R95t, R10 and consecutive dry days), obtained both from meteorological stations during 1961-2000 and model outputs, were compared. The number of warm nights are better represented by models than the FD. The interannual variability pattern is also in good agreement with the observed values. For precipitation, the index that is best represented by the models is the R95t, which relates the extreme precipitation to local climate. The maximum of dryness observed over the central Argentinian Andes or the extensive dry season of the Amazon region could not be represented by any model. © Springer Science + Business Media B.V. 2009. Fil:Rusticucci, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Penalba, O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Renom, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p493_Rusticucci
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Amazon region
Climate event
Coupled climate model
Data sets
Dry seasons
Extreme precipitation
Extreme rainfall
Extreme temperature indices
Extreme temperatures
Frost days
Interannual variability
Intercomparisons
Local climate
Mean values
Meteorological station
Model outputs
Multi-model
South America
Twentieth century
Warm nights
Climate change
Precipitation (meteorology)
Climate models
annual variation
climate modeling
data set
dry season
Intergovernmental Panel on Climate Change
precipitation (climatology)
simulation
temperature effect
twentieth century
weather station
South America
spellingShingle Amazon region
Climate event
Coupled climate model
Data sets
Dry seasons
Extreme precipitation
Extreme rainfall
Extreme temperature indices
Extreme temperatures
Frost days
Interannual variability
Intercomparisons
Local climate
Mean values
Meteorological station
Model outputs
Multi-model
South America
Twentieth century
Warm nights
Climate change
Precipitation (meteorology)
Climate models
annual variation
climate modeling
data set
dry season
Intergovernmental Panel on Climate Change
precipitation (climatology)
simulation
temperature effect
twentieth century
weather station
South America
Rusticucci, M.
Marengo, J.
Penalba, O.
Renom, M.
An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability
topic_facet Amazon region
Climate event
Coupled climate model
Data sets
Dry seasons
Extreme precipitation
Extreme rainfall
Extreme temperature indices
Extreme temperatures
Frost days
Interannual variability
Intercomparisons
Local climate
Mean values
Meteorological station
Model outputs
Multi-model
South America
Twentieth century
Warm nights
Climate change
Precipitation (meteorology)
Climate models
annual variation
climate modeling
data set
dry season
Intergovernmental Panel on Climate Change
precipitation (climatology)
simulation
temperature effect
twentieth century
weather station
South America
description In this study we examine the performance of eight of the IPCC AR4 global coupled climate models used in the WCRP CMIP3 Multimodel Dataset, as well as their ensemble mean, in simulating annual indices of extreme temperature and precipitation climate events in South America. In this first part we focus on comparing observed and modeled mean values and interannual variability. Two extreme temperature indices based on minimum temperature (warm nights and frost days) and three indices of extreme precipitation (R95t, R10 and consecutive dry days), obtained both from meteorological stations during 1961-2000 and model outputs, were compared. The number of warm nights are better represented by models than the FD. The interannual variability pattern is also in good agreement with the observed values. For precipitation, the index that is best represented by the models is the R95t, which relates the extreme precipitation to local climate. The maximum of dryness observed over the central Argentinian Andes or the extensive dry season of the Amazon region could not be represented by any model. © Springer Science + Business Media B.V. 2009.
format JOUR
author Rusticucci, M.
Marengo, J.
Penalba, O.
Renom, M.
author_facet Rusticucci, M.
Marengo, J.
Penalba, O.
Renom, M.
author_sort Rusticucci, M.
title An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability
title_short An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability
title_full An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability
title_fullStr An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability
title_full_unstemmed An intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. Part 1: Mean values and variability
title_sort intercomparison of model-simulated in extreme rainfall and temperature events during the last half of the twentieth century. part 1: mean values and variability
url http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p493_Rusticucci
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