气候变化领域集成服务门户(CCPortal): Coupled data assimilation and parameter estimation in coupled ocean

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DOI	10.1007/s00382-020-05275-6
	Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review
	Zhang S.; Liu Z.; Zhang X.; Wu X.; Han G.; Zhao Y.; Yu X.; Liu C.; Liu Y.; Wu S.; Lu F.; Li M.; Deng X.
发表日期	2020
ISSN	0930-7575
起始页码	5127
结束页码	5144
卷号	54
英文摘要	Recent studies have started to explore coupled data assimilation (CDA) in coupled ocean–atmosphere models because of the great potential of CDA to improve climate analysis and seamless weather–climate prediction on weekly-to-decadal time scales in advanced high-resolution coupled models. In this review article, we briefly introduce the concept of CDA before outlining its potential for producing balanced and coherent weather–climate reanalysis and minimizing initial coupling shocks. We then describe approaches to the implementation of CDA and review progress in the development of various CDA methods, notably weakly and strongly coupled data assimilation. We introduce the method of coupled model parameter estimation (PE) within the CDA framework and summarize recent progress. After summarizing the current status of the research and applications of CDA-PE, we discuss the challenges and opportunities in high-resolution CDA-PE and nonlinear CDA-PE methods. Finally, potential solutions are laid out. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Coupled data assimilation; Coupled model parameter estimation; Coupled ocean–atmosphere model
语种	英语
scopus关键词	atmosphere-ocean coupling; atmospheric modeling; climate prediction; conceptual framework; data assimilation; parameter estimation; weather forecasting
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/145434
作者单位	Key Laboratory of Physical Oceanography,.MOE., Institute for Advanced Ocean Study, College of Ocean and Atmosphere, Frontiers Science Center for Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China, Qingdao, China; Ocean Dynamics and Climate Function Lab/Pilot National Laboratory for Marine Science and Technology (QNLM), Qingdao, China; International Laboratory for High-Resolution Earth System Prediction (iHESP), Qingdao, China; Department of Geography, Ohio State University, Columbus, OH 43210, United States; School of Marine Science and Technology, Tianjin University, Tianjin, China; College of Automation, Harbin Engineer University, Harbin, China; Ministry of Natural Resources of China, National Marine Data and Information Service, Tianjin, 300171, China; Department of Oceanography, Texas A & M University, College Station, TX 77843, United States; Nelson Institute Center for Climatic Research, University of Wisconsin-Madison, Madison, WI 53706, United States; Princeton Univers...
推荐引用方式 GB/T 7714	Zhang S.,Liu Z.,Zhang X.,等. Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review[J],2020,54.
APA	Zhang S..,Liu Z..,Zhang X..,Wu X..,Han G..,...&Deng X..(2020).Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review.Climate Dynamics,54.
MLA	Zhang S.,et al."Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review".Climate Dynamics 54(2020).