气候变化领域集成服务门户(CCPortal): Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere

CCPortal

DOI	10.1007/s00382-018-4381-2
	Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model
	Cabos W.; Sein D.V.; Durán-Quesada A.; Liguori G.; Koldunov N.V.; Martínez-López B.; Alvarez F.; Sieck K.; Limareva N.; Pinto J.G.
发表日期	2019
ISSN	0930-7575
起始页码	4305
结束页码	4328
卷号	52 期号:2020-07-08
英文摘要	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. © 2018, The Author(s).
英文关键词	Added value; Central America and Mexico climate; Impact of coupling; Regional coupled model
语种	英语
scopus关键词	air-sea interaction; atmosphere-ocean coupling; climate modeling; downscaling; drought; rainfall; regional climate; seasonal variation; Atlantic Ocean; California; Central America; Mexico [North America]; Pacific Ocean; United States
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146386
作者单位	Department of Physics, University of Alcalá, Alcalá de Henares, Madrid, Spain; Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany; Shirshov Institute of Oceanology, Russian Academy of Science, Moscow, Russian Federation; Department of Atmospheric, Oceanic and Planetary Physics (School of Physics) and Center for Geophysical Research, University of Costa Rica, San Jose, Costa Rica; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, United States; MARUM-Center for Marine Environmental Sciences, Bremen, Germany; Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, Mexico, Mexico; Climate Service Center, Helmholtz Zentrum Geesthacht, Hamburg, Germany; North Caucasus Federal University, Pyatigorsk, Russian Federation; Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
推荐引用方式 GB/T 7714	Cabos W.,Sein D.V.,Durán-Quesada A.,等. Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model[J],2019,52(2020-07-08).
APA	Cabos W..,Sein D.V..,Durán-Quesada A..,Liguori G..,Koldunov N.V..,...&Pinto J.G..(2019).Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model.Climate Dynamics,52(2020-07-08).
MLA	Cabos W.,et al."Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model".Climate Dynamics 52.2020-07-08(2019).