Publicación:
Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere-ocean model

dc.contributor.author Cabos, W es_PE
dc.contributor.author Sein, DV es_PE
dc.contributor.author Duran-Quesada, A es_PE
dc.contributor.author Liguori, G es_PE
dc.contributor.author Koldunov, NV es_PE
dc.contributor.author Martinez-Lopez, B es_PE
dc.contributor.author Alvarez, F es_PE
dc.contributor.author Sieck, K es_PE
dc.contributor.author Limareva, N es_PE
dc.contributor.author Pinto, JG es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2019
dc.description.abstract The 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.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1007/s00382-018-4381-2
dc.identifier.isi 432652700013
dc.identifier.uri https://hdl.handle.net/20.500.12390/967
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Climate Dynamics
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Hidrología
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.05.11
dc.title Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere-ocean model
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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