Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations

A new set of CORDEX simulations over South America, together with their coarser-resolution driving Global Climate Models (GCMs) are used to investigate added value of Regional Climate Models (RCMs) in reproducing mean climate conditions over the continent. There are two types of simulations with dif...

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Publicado: 2019
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v52_n7-8_p4771_Falco
http://hdl.handle.net/20.500.12110/paper_09307575_v52_n7-8_p4771_Falco
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spelling paper:paper_09307575_v52_n7-8_p4771_Falco2023-06-08T15:52:50Z Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations Added value CORDEX Model assessment Seasonal climatology South America A new set of CORDEX simulations over South America, together with their coarser-resolution driving Global Climate Models (GCMs) are used to investigate added value of Regional Climate Models (RCMs) in reproducing mean climate conditions over the continent. There are two types of simulations with different lateral boundary conditions: five hindcast simulations use re-analysis as boundary conditions, and five other historical simulations use GCMs outputs. Multi-model ensemble means and individual simulations are evaluated against two or three observation-based gridded datasets for 2-m surface air temperature and total precipitation. The analysis is performed for summer and winter, over a common period from 1990 to 2004. Results indicate that added value of RCMs is dependent on driving fields, surface properties of the area, season and variable considered. A robust added value for RCMs driven by ERA-Interim is obtained in reproducing the summer climatology of surface air temperature over tropical and subtropical latitudes. Mixed results can be seen, however, for summer precipitation climatology in both hindcast and historical experiments. For winter, there is no noticeable improvement by the RCMs for the large-scale precipitation and surface air temperature climatology. To further understand the added value of RCMs, models deviations from observation are decomposed according to different terms that reflect the observational uncertainty, the representativeness error, the interpolation error, and the actual performance of the model. Regions where these errors are not negligible, such as in complex terrain regions, among others, can be identified. There is a clear need for complementary assessment to understand better the real value added by RCMs. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v52_n7-8_p4771_Falco http://hdl.handle.net/20.500.12110/paper_09307575_v52_n7-8_p4771_Falco
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Added value
CORDEX
Model assessment
Seasonal climatology
South America
spellingShingle Added value
CORDEX
Model assessment
Seasonal climatology
South America
Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations
topic_facet Added value
CORDEX
Model assessment
Seasonal climatology
South America
description A new set of CORDEX simulations over South America, together with their coarser-resolution driving Global Climate Models (GCMs) are used to investigate added value of Regional Climate Models (RCMs) in reproducing mean climate conditions over the continent. There are two types of simulations with different lateral boundary conditions: five hindcast simulations use re-analysis as boundary conditions, and five other historical simulations use GCMs outputs. Multi-model ensemble means and individual simulations are evaluated against two or three observation-based gridded datasets for 2-m surface air temperature and total precipitation. The analysis is performed for summer and winter, over a common period from 1990 to 2004. Results indicate that added value of RCMs is dependent on driving fields, surface properties of the area, season and variable considered. A robust added value for RCMs driven by ERA-Interim is obtained in reproducing the summer climatology of surface air temperature over tropical and subtropical latitudes. Mixed results can be seen, however, for summer precipitation climatology in both hindcast and historical experiments. For winter, there is no noticeable improvement by the RCMs for the large-scale precipitation and surface air temperature climatology. To further understand the added value of RCMs, models deviations from observation are decomposed according to different terms that reflect the observational uncertainty, the representativeness error, the interpolation error, and the actual performance of the model. Regions where these errors are not negligible, such as in complex terrain regions, among others, can be identified. There is a clear need for complementary assessment to understand better the real value added by RCMs. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
title Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations
title_short Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations
title_full Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations
title_fullStr Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations
title_full_unstemmed Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations
title_sort assessment of cordex simulations over south america: added value on seasonal climatology and resolution considerations
publishDate 2019
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v52_n7-8_p4771_Falco
http://hdl.handle.net/20.500.12110/paper_09307575_v52_n7-8_p4771_Falco
_version_ 1768545014272491520