Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/11675
Strategy for generation of climate change projections feeding Spanish impact community
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dc.contributor.authorAmblar, María Pilares_ES
dc.contributor.authorPastor Saavedra, María Asunciónes_ES
dc.contributor.authorCasado Calle, María Jesúses_ES
dc.contributor.authorRamos Calzado, Petraes_ES
dc.contributor.authorRodríguez Camino, Ernestoes_ES
dc.date.accessioned2020-04-24T09:24:50Z-
dc.date.available2020-04-24T09:24:50Z-
dc.date.issued2018-
dc.identifier.citationAdvances in Science and Research. 2018, 15, p. 217–230es_ES
dc.identifier.issn1992-0628-
dc.identifier.issn1992-0636-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/11675-
dc.descriptionNúmero monográfico dedicado al "17th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2017"es_ES
dc.description.abstractOver the past decades, the successive Coupled Model Intercomparison Projects (CMIPs) have produced a huge amount of global climate model simulations. Along these years, the climate models have advanced and can thus provide credible evolution of climate at least at continental or global scales since they are better representing physical processes and feedbacks in the climate system. Nevertheless, due to the coarse horizontal resolution of global climate models, it is necessary to downscale these results for their use to assess posible future impacts of climate change in climate sensitive ecosystems and sectors and to adopt adaptation strategies at local and national level. In this vein, the Spanish State Meteorological Agency (AEMET) has been producing since 2006 a set of reference downscaled climate change projections over Spain either applying statistical downscaling techniques to the outputs of the Global Climate Models (GCMs) or making use of the information generated by dynamical downscaling techniques through European projects or international initiatives such as PRUDENCE, ENSEMBLES and EURO-CORDEX. The AEMET strategy aims at exploiting all the available sources of information on climate change projections. The generalized use of statistical and dynamical downscaling approaches allow us to encompass a great number of global models and therefore to provide a better estimation of uncertainty. Most impact climate change studies over Spain make use of this reference downscaled projections emphasizing the estimation of uncertainties. Additionally to the rationale and history behind the AEMET generation of climate change scenarios, we focus on some preliminary analysis of the dependency of estimated uncertainties on the different sources of data.es_ES
dc.language.isoenges_ES
dc.publisherCopernicus Publicationses_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectClimate changees_ES
dc.subjectCoupled Model Intercomparison Projectses_ES
dc.subjectModel simulationes_ES
dc.titleStrategy for generation of climate change projections feeding Spanish impact communityes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://dx.doi.org/10.5194/asr-15-217-2018es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Artículos científicos 2015-2018


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