A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains

Autores
Glisan, Justin M.; Jones, Richard; Lennard, Chris; Castillo Pérez, Nadia Itzel; Lucas Picher, Philippe; Rinke, Annette; Solman, Silvina Alicia; Gutowski, William J.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We compare ensemble mean daily precipitation and near-surface temperatures from regional climate model simulations over seven Coordinated Regional Climate Downscaling Experiment domains for the winter and summer seasons. We use Taylor diagrams to show the domain-wide pattern similarity between the model ensemble and the observational data sets. We use the Climatic Research Unit (CRU) and the University of Delaware gridded observations and ERA-Interim reanalysis data as an additional observationally based estimate of historical climatology. Taylor diagrams determine the relative skill of the seven sets of simulations and quantify these results in terms of center pattern root-mean square error and correlation coefficient. Results suggest that there is good agreement between the models and the CRU, in terms of their respective seasonal cycles, as shown in Taylor diagrams and bias plots. There is also good agreement between both gridded observation sets. In addition, downscaled ERA-Interim precipitation is closer to observations than raw ERA-Interim precipitation. Domains located in the low latitudes and those having high topography appear to have larger biases, especially precipitation.
Fil: Glisan, Justin M.. IOWA STATE UNIVERSITY (ISU);
Fil: Jones, Richard. No especifíca;
Fil: Lennard, Chris. University of Cape Town; Sudáfrica
Fil: Castillo Pérez, Nadia Itzel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Lucas Picher, Philippe. Université du Québec a Montreal; Canadá
Fil: Rinke, Annette. Helmholtz Centre for Polar and Marine Research; Alemania
Fil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Gutowski, William J.. IOWA STATE UNIVERSITY (ISU);
Materia
ANALYSIS
APPLICATION/CONTEXT
PHYSICAL PHENOMENON
RAINFALL
SCALE
SEASONAL
SEASONAL PREDICTION
TOOLS AND METHODS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/123431
Acceder
id CONICETDig_9c1991fa16739e8e875e3ac93642de3e
oai_identifier_str oai:ri.conicet.gov.ar:11336/123431
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domainsGlisan, Justin M.Jones, RichardLennard, ChrisCastillo Pérez, Nadia ItzelLucas Picher, PhilippeRinke, AnnetteSolman, Silvina AliciaGutowski, William J.ANALYSISAPPLICATION/CONTEXTPHYSICAL PHENOMENONRAINFALLSCALESEASONALSEASONAL PREDICTIONTOOLS AND METHODShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1We compare ensemble mean daily precipitation and near-surface temperatures from regional climate model simulations over seven Coordinated Regional Climate Downscaling Experiment domains for the winter and summer seasons. We use Taylor diagrams to show the domain-wide pattern similarity between the model ensemble and the observational data sets. We use the Climatic Research Unit (CRU) and the University of Delaware gridded observations and ERA-Interim reanalysis data as an additional observationally based estimate of historical climatology. Taylor diagrams determine the relative skill of the seven sets of simulations and quantify these results in terms of center pattern root-mean square error and correlation coefficient. Results suggest that there is good agreement between the models and the CRU, in terms of their respective seasonal cycles, as shown in Taylor diagrams and bias plots. There is also good agreement between both gridded observation sets. In addition, downscaled ERA-Interim precipitation is closer to observations than raw ERA-Interim precipitation. Domains located in the low latitudes and those having high topography appear to have larger biases, especially precipitation.Fil: Glisan, Justin M.. IOWA STATE UNIVERSITY (ISU);Fil: Jones, Richard. No especifíca;Fil: Lennard, Chris. University of Cape Town; SudáfricaFil: Castillo Pérez, Nadia Itzel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Lucas Picher, Philippe. Université du Québec a Montreal; CanadáFil: Rinke, Annette. Helmholtz Centre for Polar and Marine Research; AlemaniaFil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Gutowski, William J.. IOWA STATE UNIVERSITY (ISU);Wiley VCH Verlag2019-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/123431Glisan, Justin M.; Jones, Richard; Lennard, Chris; Castillo Pérez, Nadia Itzel; Lucas Picher, Philippe; et al.; A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains; Wiley VCH Verlag; Atmospheric Science Letters; 20; 5; 6-2019; 1-81530-261XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/asl.897info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:42:16Zoai:ri.conicet.gov.ar:11336/123431instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:42:16.498CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
title A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
spellingShingle A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
Glisan, Justin M.
ANALYSIS
APPLICATION/CONTEXT
PHYSICAL PHENOMENON
RAINFALL
SCALE
SEASONAL
SEASONAL PREDICTION
TOOLS AND METHODS
title_short A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
title_full A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
title_fullStr A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
title_full_unstemmed A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
title_sort A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains
dc.creator.none.fl_str_mv Glisan, Justin M.
Jones, Richard
Lennard, Chris
Castillo Pérez, Nadia Itzel
Lucas Picher, Philippe
Rinke, Annette
Solman, Silvina Alicia
Gutowski, William J.
author Glisan, Justin M.
author_facet Glisan, Justin M.
Jones, Richard
Lennard, Chris
Castillo Pérez, Nadia Itzel
Lucas Picher, Philippe
Rinke, Annette
Solman, Silvina Alicia
Gutowski, William J.
author_role author
author2 Jones, Richard
Lennard, Chris
Castillo Pérez, Nadia Itzel
Lucas Picher, Philippe
Rinke, Annette
Solman, Silvina Alicia
Gutowski, William J.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ANALYSIS
APPLICATION/CONTEXT
PHYSICAL PHENOMENON
RAINFALL
SCALE
SEASONAL
SEASONAL PREDICTION
TOOLS AND METHODS
topic ANALYSIS
APPLICATION/CONTEXT
PHYSICAL PHENOMENON
RAINFALL
SCALE
SEASONAL
SEASONAL PREDICTION
TOOLS AND METHODS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We compare ensemble mean daily precipitation and near-surface temperatures from regional climate model simulations over seven Coordinated Regional Climate Downscaling Experiment domains for the winter and summer seasons. We use Taylor diagrams to show the domain-wide pattern similarity between the model ensemble and the observational data sets. We use the Climatic Research Unit (CRU) and the University of Delaware gridded observations and ERA-Interim reanalysis data as an additional observationally based estimate of historical climatology. Taylor diagrams determine the relative skill of the seven sets of simulations and quantify these results in terms of center pattern root-mean square error and correlation coefficient. Results suggest that there is good agreement between the models and the CRU, in terms of their respective seasonal cycles, as shown in Taylor diagrams and bias plots. There is also good agreement between both gridded observation sets. In addition, downscaled ERA-Interim precipitation is closer to observations than raw ERA-Interim precipitation. Domains located in the low latitudes and those having high topography appear to have larger biases, especially precipitation.
Fil: Glisan, Justin M.. IOWA STATE UNIVERSITY (ISU);
Fil: Jones, Richard. No especifíca;
Fil: Lennard, Chris. University of Cape Town; Sudáfrica
Fil: Castillo Pérez, Nadia Itzel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Lucas Picher, Philippe. Université du Québec a Montreal; Canadá
Fil: Rinke, Annette. Helmholtz Centre for Polar and Marine Research; Alemania
Fil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Gutowski, William J.. IOWA STATE UNIVERSITY (ISU);
description We compare ensemble mean daily precipitation and near-surface temperatures from regional climate model simulations over seven Coordinated Regional Climate Downscaling Experiment domains for the winter and summer seasons. We use Taylor diagrams to show the domain-wide pattern similarity between the model ensemble and the observational data sets. We use the Climatic Research Unit (CRU) and the University of Delaware gridded observations and ERA-Interim reanalysis data as an additional observationally based estimate of historical climatology. Taylor diagrams determine the relative skill of the seven sets of simulations and quantify these results in terms of center pattern root-mean square error and correlation coefficient. Results suggest that there is good agreement between the models and the CRU, in terms of their respective seasonal cycles, as shown in Taylor diagrams and bias plots. There is also good agreement between both gridded observation sets. In addition, downscaled ERA-Interim precipitation is closer to observations than raw ERA-Interim precipitation. Domains located in the low latitudes and those having high topography appear to have larger biases, especially precipitation.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/123431
Glisan, Justin M.; Jones, Richard; Lennard, Chris; Castillo Pérez, Nadia Itzel; Lucas Picher, Philippe; et al.; A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains; Wiley VCH Verlag; Atmospheric Science Letters; 20; 5; 6-2019; 1-8
1530-261X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/123431
identifier_str_mv Glisan, Justin M.; Jones, Richard; Lennard, Chris; Castillo Pérez, Nadia Itzel; Lucas Picher, Philippe; et al.; A metrics-based analysis of seasonal daily precipitation and near-surface temperature within seven Coordinated Regional Climate Downscaling Experiment domains; Wiley VCH Verlag; Atmospheric Science Letters; 20; 5; 6-2019; 1-8
1530-261X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/asl.897
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley VCH Verlag
publisher.none.fl_str_mv Wiley VCH Verlag
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083531416010752
score 13.22299

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