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dc.creatorCabos Narvaez, William David
dc.creatorSein, Dmitry V.
dc.creatorDurán Quesada, Ana María
dc.creatorLiguori, Giovanni
dc.creatorKoldunov, Nikolay V.
dc.creatorMartínez López, Benjamín
dc.creatorÁlvarez García, Francisco José
dc.creatorSieck, Kevin
dc.creatorLimareva, Natalia
dc.creatorPinto, Joaquim G.
dc.date.accessioned2018-09-27T21:06:23Z
dc.date.available2018-09-27T21:06:23Z
dc.date.issued2018-08
dc.identifier.citationhttps://link.springer.com/article/10.1007%2Fs00382-018-4381-2
dc.identifier.issn1432-0894
dc.identifier.issn0930-7575
dc.identifier.urihttps://hdl.handle.net/10669/75879
dc.description.abstractThe climate in Mexico and Central America is influenced by the Pacific and the Atlantic oceanic basins and atmospheric conditions over continental North and South America. These factors and important ocean–atmosphere coupled processes make the region’s climate a great challenge for global and regional climate modeling. We explore the benefits that coupled regional climate models may introduce in the representation of the regional climate with a set of coupled and uncoupled simulations forced by reanalysis and global model data. Uncoupled simulations tend to stay close to the large-scale patterns of the driving fields, particularly over the ocean, while over land they are modified by the regional atmospheric model physics and the improved orography representation. The regional coupled model adds to the reanalysis forcing the air–sea interaction, which is also better resolved than in the global model. Simulated fields are modified over the ocean, improving the representation of the key regional structures such as the Intertropical Convergence Zone and the Caribbean Low Level Jet. Higher resolution leads to improvements over land and in regions of intense air–sea interaction, e.g., off the coast of California. The coupled downscaling improves the representation of the Mid Summer Drought and the meridional rainfall distribution in southernmost Central America. Over the regions of humid climate, the coupling corrects the wet bias of the uncoupled runs and alleviates the dry bias of the driving model, yielding a rainfall seasonal cycle similar to that in the reanalysis-driven experiments.es_ES
dc.description.sponsorshipUniversidad de Costa Rca/[805-B7-507]/UCR/Costa Ricaes_ES
dc.description.sponsorshipCRYOPERU/[144-2015]//Perúes_ES
dc.language.isoen_USes_ES
dc.sourceClimate Dynamics, pp. 1-24es_ES
dc.subjectRegional coupled modeles_ES
dc.subjectImpact of couplinges_ES
dc.subjectAdded valuees_ES
dc.subject551.697 28 Tratamiento geográfico del climaes_ES
dc.subjectCentral Americaes_ES
dc.subjectMexicoes_ES
dc.subjectClimatees_ES
dc.titleDynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean modeles_ES
dc.typeartículo original
dc.date.updated2018-09-25T20:15:45Z
dc.identifier.doi10.1007/s00382-018-4381-2
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)es_ES
dc.identifier.codproyecto805-B7-507


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