IOCAS-IR  > 海洋环流与波动重点实验室
Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO
Gao, Chuan1,2,3,4; Zhang, Rong-Hua1,2,4; Wu, Xinrong5; Sun, Jichang3
2018-04-01
Source PublicationADVANCES IN ATMOSPHERIC SCIENCES
ISSN0256-1530
Volume35Issue:4Pages:410-422
Corresponding AuthorZhang, Rong-Hua(rzhang@qdio.ac.cn)
AbstractLarge biases exist in real-time ENSO prediction, which can be attributed to uncertainties in initial conditions and model parameters. Previously, a 4D variational (4D-Var) data assimilation system was developed for an intermediate coupled model (ICM) and used to improve ENSO modeling through optimized initial conditions. In this paper, this system is further applied to optimize model parameters. In the ICM used, one important process for ENSO is related to the anomalous temperature of subsurface water entrained into the mixed layer (T (e)), which is empirically and explicitly related to sea level (SL) variation. The strength of the thermocline effect on SST (referred to simply as "the thermocline effect") is represented by an introduced parameter, alpha (Te). A numerical procedure is developed to optimize this model parameter through the 4D-Var assimilation of SST data in a twin experiment context with an idealized setting. Experiments having their initial condition optimized only, and having their initial condition plus this additional model parameter optimized, are compared. It is shown that ENSO evolution can be more effectively recovered by including the additional optimization of this parameter in ENSO modeling. The demonstrated feasibility of optimizing model parameters and initial conditions together through the 4D-Var method provides a modeling platform for ENSO studies. Further applications of the 4D-Var data assimilation system implemented in the ICM are also discussed.
Keywordintermediate coupled model ENSO modeling 4D-Var data assimilation system optimization of model parameter and initial condition
DOI10.1007/s00376-017-7109-z
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41705082] ; National Natural Science Foundation of China[41475101] ; National Natural Science Foundation of China[41690122(41690120)] ; Chinese Academy of Sciences[XDA11010105] ; Chinese Academy of Sciences[XDA11020306] ; National Programme on Global Change and Air-Sea Interaction[GASI-IPOVAI-06] ; National Programme on Global Change and Air-Sea Interaction[GASI-IPOVAI-01-01] ; China Postdoctoral Science Foundation ; Qingdao Postdoctoral Application Research Project
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000425327700005
PublisherSCIENCE PRESS
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/158098
Collection海洋环流与波动重点实验室
Corresponding AuthorZhang, Rong-Hua
Affiliation1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China
3.Shandong Acad Sci, Inst Oceanog Instrumentat, Qingdao 266001, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100029, Peoples R China
5.Natl Marine Data & Informat Serv, State Ocean Adm, Key Lab Marine Environm Informat Technol, Tianjin 300000, Peoples R China
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Gao, Chuan,Zhang, Rong-Hua,Wu, Xinrong,et al. Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2018,35(4):410-422.
APA Gao, Chuan,Zhang, Rong-Hua,Wu, Xinrong,&Sun, Jichang.(2018).Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO.ADVANCES IN ATMOSPHERIC SCIENCES,35(4),410-422.
MLA Gao, Chuan,et al."Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO".ADVANCES IN ATMOSPHERIC SCIENCES 35.4(2018):410-422.
Files in This Item:
File Name/Size DocType Version Access License
Idealized Experiment(1370KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Gao, Chuan]'s Articles
[Zhang, Rong-Hua]'s Articles
[Wu, Xinrong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Gao, Chuan]'s Articles
[Zhang, Rong-Hua]'s Articles
[Wu, Xinrong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Gao, Chuan]'s Articles
[Zhang, Rong-Hua]'s Articles
[Wu, Xinrong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.