globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-012-1385-1
Scopus记录号: 2-s2.0-84875717825
论文题名:
A study of impact of the geographic dependence of observing system on parameter estimation with an intermediate coupled model
作者: Wu X.; Zhang S.; Liu Z.; Rosati A.; Delworth T.L.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2013
卷: 40, 期:2017-07-08
起始页码: 1789
结束页码: 1798
语种: 英语
英文关键词: Coupled model ; Geographic dependence ; Observing system ; Parameter estimation
英文摘要: Observational information has a strong geographic dependence that may directly influence the quality of parameter estimation in a coupled climate system. Using an intermediate atmosphere-ocean-land coupled model, the impact of geographic dependent observing system on parameter estimation is explored within a "twin" experiment framework. The "observations" produced by a "truth" model are assimilated into an assimilation model in which the most sensitive model parameter has a different geographic structure from the "truth", for retrieving the "truth" geographic structure of the parameter. To examine the influence of data-sparse areas on parameter estimation, the twin experiment is also performed with an observing system in which the observations in some area are removed. Results show that traditional single-valued parameter estimation (SPE) attains a global mean of the "truth", while geographic dependent parameter optimization (GPO) can retrieve the "truth" structure of the parameter and therefore significantly improves estimated states and model predictability. This is especially true when an observing system with data-void areas is applied, where the error of state estimate is reduced by 31 % and the corresponding forecast skill is doubled by GPO compared with SPE. © 2012 Springer-Verlag.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/55029
Appears in Collections:过去全球变化的重建

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作者单位: GFDL-Wisconsin Joint Visiting Program, Princeton, NJ, United States; Key Laboratory of Marine Environmental Information Technology, State Oceanic Administration, National Marine Data and Information Service, Tianjin, China; GFDL/NOAA, Princeton University, Princeton, NJ, United States; Department of Atmospheric and Oceanic Sciences, Center for Climate Research, University of Wisconsin-Madison, Madison, WI, United States; Laboratory of Ocean-Atmospheric Studies, Peking University, Beijing, China

Recommended Citation:
Wu X.,Zhang S.,Liu Z.,et al. A study of impact of the geographic dependence of observing system on parameter estimation with an intermediate coupled model[J]. Climate Dynamics,2013-01-01,40(2017-07-08)
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