Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO
文献类型：CNKI期刊论文
| 作者 | Chuan GAO ; Rong-Hua ZHANG; Xinrong WU; Jichang SUN
|
| 发表日期 | 2018-03-21 |
| 出处 | Advances in Atmospheric Sciences
 |
| 关键词 | intermediate coupled model ENSO modeling 4D-Var data assimilation system optimization of model parameter and initial condition |
| 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 4 D variational(4 D-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, αT_e. A numerical procedure is developed to optimize this model parameter through the 4 D-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 4 D-Var method provides a modeling platform for ENSO studies. Further applications of the 4 D-Var data assimilation system implemented in the ICM are also discussed. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | supported by the National Natural Science Foundation of China (Grant Nos. 41705082, 41475101, 41690122(41690120)) ; a Chinese Academy of Sciences Strategic Priority Project—the Western Pacific Ocean System (Grant Nos. XDA11010105 and XDA11020306) ; the National Programme on Global Change and Air–Sea Interaction (Grant Nos. GASI-IPOVAI06 and GASI-IPOVAI-01-01) ; the China Postdoctoral Science Foundation, and a Qingdao Postdoctoral Application Research Project |
| 卷 | v.35期:04页:42-54 |
| 语种 | 英文; |
| 分类号 | P732 |
| ISSN号 | 0256-1530 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/188981]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.UniversityofChineseAcademyofSciences 2.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences 3.QingdaoNationalLaboratoryforMarineScienceandTechnology 4.InstituteofOceanographicInstrumentation,ShandongAcademyofSciences 5.KeyLaboratoryofMarineEnvironmentalInformationTechnology,StateOceanicAdministration,NationalMarineDataandInformationService |
| 推荐引用方式 GB/T 7714 | Chuan GAO,Rong-Hua ZHANG,Xinrong WU,et al. Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO. 2018. |
入库方式： OAI收割
来源：海洋研究所
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