DOI: 10.1175/JCLI-D-14-00348.1
Scopus记录号: 2-s2.0-84923033264
论文题名: Parameter optimization in an intermediate coupled climate model with biased physics
作者: Zhang X. ; Zhang S. ; Liu Z. ; Wu X. ; Han G.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 3 起始页码: 1227
结束页码: 1247
语种: 英语
Scopus关键词: Forecasting
; Frequency estimation
; Parameter estimation
; Parameterization
; Stochastic models
; Stochastic systems
; Coupled climate model
; Decadal predictions
; Estimation and predictions
; Low-frequency components
; Ocean atmosphere general circulation models
; Outgoing longwave radiation
; Parameter optimization
; Physical parameterization
; Climate models
; atmosphere-ocean coupling
; climate modeling
; climate prediction
; general circulation model
; optimization
; parameterization
英文摘要: Imperfect physical parameterization schemes in a coupled climate model are an important source of model biases that adversely impact climate prediction. However, how observational information should be used to optimize physical parameterizations through parameter estimation has not been fully studied. Using an intermediate coupled ocean-atmospheremodel, the authors investigate parameter optimization when the assimilation model contains biased physics within a biased assimilation experiment framework. Here, the biased physics is induced by using different outgoing longwave radiation schemes in the assimilation model and the ''truth'' model that is used to generate simulated observations. While the stochastic physics, implemented by initially perturbing the physical parameters, can significantly enhance the ensemble spread and improve the representation of the model ensemble, the parameter estimation is able to mitigate the model biases induced by the biased physics. Furthermore, better results for climate estimation and prediction can be obtained when only the most influential physical parameters are optimized and allowed to vary geographically. In addition, the parameter optimization with the biased model physics improves the performance of the climate estimation and prediction in the deep ocean significantly, even if there is no direct observational constraint on the low-frequency component of the state variables. These results provide some insight into decadal predictions in a coupled ocean-atmosphere general circulation model that includes imperfect physical schemes that are initialized from the climate observing system. © 2015 American Meteorological Society. © 2015 American Meteorological Society. 资助项目: NSF, National Science Foundation
; NSFC, National Science Foundation
; NSFC, National Science Foundation
; NSFC, National Science Foundation
; NSFC, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50616
Appears in Collections: 气候变化事实与影响
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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; NOAA/GFDL, 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 for Climate and Ocean-Atmosphere Studies, Peking University, Beijing, China
Recommended Citation:
Zhang X.,Zhang S.,Liu Z.,et al. Parameter optimization in an intermediate coupled climate model with biased physics[J]. Journal of Climate,2015-01-01,28(3)