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

Cabos, William; Sein, Dmitry V.; Durán-Quesada, Ana; Liguori, Giovanni; Koldunov, Nikolay V.; Martínez-López, Benjamín; Alvarez, Francisco; Sieck, Kevin; Limareva, Natalia; Pinto, Joaquim G. 1
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000085719
Veröffentlicht am 27.05.2019
Originalveröffentlichung
DOI: 10.1007/s00382-018-4381-2
Scopus
Zitationen: 31
Web of Science
Zitationen: 28
Dimensions
Zitationen: 31
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 0930-7575, 1432-0894
KITopen-ID: 1000085719
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Climate dynamics
Verlag Springer
Band 52
Seiten 4305–4328
Vorab online veröffentlicht am 24.08.2018
Schlagwörter Regional coupled model; Central America and Mexico climate; Impact of coupling; Added value
Nachgewiesen in Web of Science
Dimensions
Scopus
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