Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO
文献类型：期刊论文
| 作者 | Gao, Chuan1,2,3,4 ; Zhang, Rong-Hua1,2,4; Wu, Xinrong5; Sun, Jichang3
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| 刊名 | ADVANCES IN ATMOSPHERIC SCIENCES
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| 出版日期 | 2018-04-01 |
| 卷号 | 35期号:4页码:410-422 |
| 关键词 | intermediate coupled model ENSO modeling 4D-Var data assimilation system optimization of model parameter and initial condition |
| ISSN号 | 0256-1530 |
| DOI | 10.1007/s00376-017-7109-z |
| 通讯作者 | Zhang, Rong-Hua(rzhang@qdio.ac.cn) |
| 英文摘要 | Large 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. |
| 资助项目 | National 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研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000425327700005 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/158097]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Zhang, Rong-Hua |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：海洋研究所
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