globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-015-2939-9
Scopus记录号: 2-s2.0-84949958559
论文题名:
Correction of biased climate simulated by biased physics through parameter estimation in an intermediate coupled model
作者: Zhang X.; Zhang S.; Liu Z.; Wu X.; Han G.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期:2017-05-06
起始页码: 1899
结束页码: 1912
语种: 英语
英文关键词: Climate prediction ; Coupled data assimilation ; Coupled model ; Model bias ; Parameter estimation
英文摘要: Imperfect physical parameterization schemes are an important source of model bias in a coupled model and adversely impact the performance of model simulation. With a coupled ocean-atmosphere-land model of intermediate complexity, the impact of imperfect parameter estimation on model simulation with biased physics has been studied. Here, the biased physics is induced by using different outgoing longwave radiation schemes in the assimilation and “truth” models. To mitigate model bias, the parameters employed in the biased longwave radiation scheme are optimized using three different methods: least-squares parameter fitting (LSPF), single-valued parameter estimation and geography-dependent parameter optimization (GPO), the last two of which belong to the coupled model parameter estimation (CMPE) method. While the traditional LSPF method is able to improve the performance of coupled model simulations, the optimized parameter values from the CMPE, which uses the coupled model dynamics to project observational information onto the parameters, further reduce the bias of the simulated climate arising from biased physics. Further, parameters estimated by the GPO method can properly capture the climate-scale signal to improve the simulation of climate variability. These results suggest that the physical parameter estimation via the CMPE scheme is an effective approach to restrain the model climate drift during decadal climate predictions using coupled general circulation models. © 2015, Springer-Verlag Berlin Heidelberg.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53574
Appears in Collections:过去全球变化的重建

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作者单位: College of Automation, Harbin Engineering University, Harbin, China; Key Laboratory of Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, 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:
Zhang X.,Zhang S.,Liu Z.,et al. Correction of biased climate simulated by biased physics through parameter estimation in an intermediate coupled model[J]. Climate Dynamics,2016-01-01,47(2017-05-06)
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