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A useful approach to sensitivity and predictability studies in geophysical fluid dynamics: conditional non-linear optimal perturbation
Wang, Qiang1,2,3; Mu, Mu1,4; Sun, Guodong5,6
2020
Source PublicationNATIONAL SCIENCE REVIEW
ISSN2095-5138
Volume7Issue:1Pages:214-223
Corresponding AuthorSun, Guodong(sungd@mail.iap.ac.cn)
AbstractIn atmospheric and oceanic studies, it is important to investigate the uncertainty of model solutions. The conditional non-linear optimal perturbation (CNOP) method is useful for addressing the uncertainty. This paper reviews the development of the CNOP method and its computational aspects in recent years. Specifically, the CNOP method was first proposed to investigate the effects of the optimal initial perturbation on atmosphere and ocean model results. Then, it was extended to explore the influences of the optimal parameter perturbation, model tendency perturbation and boundary condition perturbation. To obtain solutions to these optimal perturbations, four kinds of optimization approaches were developed: the adjoint-based method, the adjoint-free method, the intelligent optimization method and the unconstrained optimization method. We illustrate the calculation process of each method and its advantages and disadvantages. Then, taking the Zebiak-Cane model as an example, we compare the CNOPs related to initial conditions (CNOP-Is) calculated by the above four methods. It was found that the dominant structures of the CNOP-Is for different methods are similar, although some differences in details exist. Finally, we discuss the necessity and possible direction for designing a more effective optimization approach related to the CNOP in the future.
KeywordCNOP non-linear optimization atmosphere ocean
DOI10.1093/nsr/nwz039
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41576015] ; Qingdao National Laboratory for Marine Science and Technology[QNLM2016ORP0107] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060502] ; NSFC Innovative Group[41421005] ; National Programme on Global Change andAirSea Interaction[GASI-IPOVAI-06] ; NSFC-Shandong Joint Fund forMarine Science Research Centers[U1606402] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2015060]
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000519816200029
PublisherOXFORD UNIV PRESS
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/165829
Collection海洋环流与波动重点实验室
Corresponding AuthorSun, Guodong
Affiliation1.Chinese Acad Sci, CAS Key Lab Ocean Circulat & Waves, Inst Oceanol, Qingdao 266071, Peoples R China
2.Pilot Natl Lab Marine Sci & Technol Qingdao, Qingdao 266237, Peoples R China
3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
4.Fudan Univ, Inst Atmospher Sci, Dept Atmospher & Ocean Sci, Shanghai 200438, Peoples R China
5.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Qiang,Mu, Mu,Sun, Guodong. A useful approach to sensitivity and predictability studies in geophysical fluid dynamics: conditional non-linear optimal perturbation[J]. NATIONAL SCIENCE REVIEW,2020,7(1):214-223.
APA Wang, Qiang,Mu, Mu,&Sun, Guodong.(2020).A useful approach to sensitivity and predictability studies in geophysical fluid dynamics: conditional non-linear optimal perturbation.NATIONAL SCIENCE REVIEW,7(1),214-223.
MLA Wang, Qiang,et al."A useful approach to sensitivity and predictability studies in geophysical fluid dynamics: conditional non-linear optimal perturbation".NATIONAL SCIENCE REVIEW 7.1(2020):214-223.
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