Warming patterns in regional climate change projections over the Iberian Peninsula

A set of four regional climate change projections over the Iberian Peninsula has been performed. Simulations were driven by two General Circulation Models (consisting of two versions of the same atmospheric model coupled to two different ocean models) under two different SRES scenario. The XXI centu...

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Detalles Bibliográficos
Autores: Gómez Navarro, Juan José, Montávez, J. P., Jiménez Guerrero, Pedro, Jérez, S., García Valero, J. A., González Rouco, Jesús Fidel
Tipo de recurso: artículo
Fecha de publicación:2010
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/44995
Acceso en línea:https://hdl.handle.net/20.500.14352/44995
Access Level:acceso abierto
Palabra clave:52
Surface-hydrology model
Interannual variability
Change scenarios
Europe
Circulation
Trends
Simulations
Validation
System
Output
Astrofísica
Astronomía (Física)
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spelling Warming patterns in regional climate change projections over the Iberian PeninsulaGómez Navarro, Juan JoséMontávez, J. P.Jiménez Guerrero, PedroJérez, S.García Valero, J. A.González Rouco, Jesús Fidel52Surface-hydrology modelInterannual variabilityChange scenariosEuropeCirculationTrendsSimulationsValidationSystemOutputAstrofísicaAstronomía (Física)A set of four regional climate change projections over the Iberian Peninsula has been performed. Simulations were driven by two General Circulation Models (consisting of two versions of the same atmospheric model coupled to two different ocean models) under two different SRES scenario. The XXI century has been simulated following a full-transient approach with a climate version of the mesoscale model MM5. An Empirical Orthogonal Function analysis (EOF) is applied to the monthly mean series of daily maximum and minimum 2-metre temperature to extract the warming signal. The first EOF is able to capture the spatial structure of the warming. The obtained warming patterns are fairly dependent on the month, but hardly change with the tested scenarios and GCM versions. Their shapes are related to geographical parameters, such as distance to the sea and orography. The main differences among simulations mostly concern the temporal evolution of the warming. The temperature trend is stronger for maximum temperatures and depends on the scenario and the driving GCM. This asymmetry, as well as the different warming rates in summer and winter, leads to a continentalization of the climate over the IP.E Schweizerbartsche VerlagsUniversidad Complutense de Madrid20102010-06-0120102010-06-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/44995reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/449952026-06-02T12:44:21Z
dc.title.none.fl_str_mv Warming patterns in regional climate change projections over the Iberian Peninsula
title Warming patterns in regional climate change projections over the Iberian Peninsula
spellingShingle Warming patterns in regional climate change projections over the Iberian Peninsula
Gómez Navarro, Juan José
52
Surface-hydrology model
Interannual variability
Change scenarios
Europe
Circulation
Trends
Simulations
Validation
System
Output
Astrofísica
Astronomía (Física)
title_short Warming patterns in regional climate change projections over the Iberian Peninsula
title_full Warming patterns in regional climate change projections over the Iberian Peninsula
title_fullStr Warming patterns in regional climate change projections over the Iberian Peninsula
title_full_unstemmed Warming patterns in regional climate change projections over the Iberian Peninsula
title_sort Warming patterns in regional climate change projections over the Iberian Peninsula
dc.creator.none.fl_str_mv Gómez Navarro, Juan José
Montávez, J. P.
Jiménez Guerrero, Pedro
Jérez, S.
García Valero, J. A.
González Rouco, Jesús Fidel
author Gómez Navarro, Juan José
author_facet Gómez Navarro, Juan José
Montávez, J. P.
Jiménez Guerrero, Pedro
Jérez, S.
García Valero, J. A.
González Rouco, Jesús Fidel
author_role author
author2 Montávez, J. P.
Jiménez Guerrero, Pedro
Jérez, S.
García Valero, J. A.
González Rouco, Jesús Fidel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 52
Surface-hydrology model
Interannual variability
Change scenarios
Europe
Circulation
Trends
Simulations
Validation
System
Output
Astrofísica
Astronomía (Física)
topic 52
Surface-hydrology model
Interannual variability
Change scenarios
Europe
Circulation
Trends
Simulations
Validation
System
Output
Astrofísica
Astronomía (Física)
description A set of four regional climate change projections over the Iberian Peninsula has been performed. Simulations were driven by two General Circulation Models (consisting of two versions of the same atmospheric model coupled to two different ocean models) under two different SRES scenario. The XXI century has been simulated following a full-transient approach with a climate version of the mesoscale model MM5. An Empirical Orthogonal Function analysis (EOF) is applied to the monthly mean series of daily maximum and minimum 2-metre temperature to extract the warming signal. The first EOF is able to capture the spatial structure of the warming. The obtained warming patterns are fairly dependent on the month, but hardly change with the tested scenarios and GCM versions. Their shapes are related to geographical parameters, such as distance to the sea and orography. The main differences among simulations mostly concern the temporal evolution of the warming. The temperature trend is stronger for maximum temperatures and depends on the scenario and the driving GCM. This asymmetry, as well as the different warming rates in summer and winter, leads to a continentalization of the climate over the IP.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-06-01
2010
2010-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/44995
url https://hdl.handle.net/20.500.14352/44995
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv E Schweizerbartsche Verlags
publisher.none.fl_str_mv E Schweizerbartsche Verlags
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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