Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Optimization of the Spatiotemporal Parameters in a Dynamical Marine Ecosystem Model Based on the Adjoint Assimilation | |
| Li, Xiaoyan1,2; Wang, Chunhui1,3; Fan, Wei4; Lv, Xianqing1; Lv, XQ | |
| 2013 | |
| 发表期刊 | MATHEMATICAL PROBLEMS IN ENGINEERING
 |
| ISSN | 1024-123X |
| 页码 | 373540 |
| 文章类型 | Article |
| 摘要 | By utilizing spatiotemporal biological parameterizations, the adjoint variational method was applied to a 3D marine ecosystem dynamical model. The results of twin experiments demonstrated that the mean absolute error (MAE) of phytoplankton in the surface layer and the reduced cost function (RCF) could be used to evaluate both the simulation results and parameter estimation. Spatiotemporal variation of key parameters (KPs) was optimized in real experiments. The RCF and MAE in each assimilation period (72 periods per year) decreased obviously. The spatially varying KP (KPS), temporally varying KP (KPT), and constant KP (KPC) were obtained by averaging KPs of spatiotemporal variation. Another type of spatiotemporal KP (KPST) was represented by KPS, KPT, and KPC. The correlation analysis of KPs, either KPS or KPT, accorded with the real ecological mechanism. Running the model with KPS, KPT, KPC, and KPST, respectively, we found that MAE was the minimum when KPs were spatiotemporal variation (KPST), while MAE reached its maximum when KPs were constant (KPC). Using spatiotemporal KPs could improve simulation precision compared with only using spatially varying KPs, temporally varying KPs, or constant KPs (these forms are the results in a previous study). KPST, a representation of spatiotemporal variation, reduces the variable number in calculation.; By utilizing spatiotemporal biological parameterizations, the adjoint variational method was applied to a 3D marine ecosystem dynamical model. The results of twin experiments demonstrated that the mean absolute error (MAE) of phytoplankton in the surface layer and the reduced cost function (RCF) could be used to evaluate both the simulation results and parameter estimation. Spatiotemporal variation of key parameters (KPs) was optimized in real experiments. The RCF and MAE in each assimilation period (72 periods per year) decreased obviously. The spatially varying KP (KPS), temporally varying KP (KPT), and constant KP (KPC) were obtained by averaging KPs of spatiotemporal variation. Another type of spatiotemporal KP (KPST) was represented by KPS, KPT, and KPC. The correlation analysis of KPs, either KPS or KPT, accorded with the real ecological mechanism. Running the model with KPS, KPT, KPC, and KPST, respectively, we found that MAE was the minimum when KPs were spatiotemporal variation (KPST), while MAE reached its maximum when KPs were constant (KPC). Using spatiotemporal KPs could improve simulation precision compared with only using spatially varying KPs, temporally varying KPs, or constant KPs (these forms are the results in a previous study). KPST, a representation of spatiotemporal variation, reduces the variable number in calculation. |
| 学科领域 | Engineering ; Mathematics |
| DOI | 10.1155/2013/373540 |
| URL | 查看原文 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Engineering ; Mathematics |
| WOS类目 | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
| WOS记录号 | WOS:000320261800001 |
| WOS关键词 | PHYSICAL-BIOLOGICAL MODEL ; NORTH-ATLANTIC ; SEAWIFS DATA ; OCEAN ; SEA ; FILTER ; BASIN ; GULF |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/16426 |
| 专题 | 海洋环流与波动重点实验室 |
| 通讯作者 | Lv, XQ |
| 作者单位 | 1.Ocean Univ China, Lab Phys Oceanog, Qingdao 266100, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 3.Org North China Sea Monitoring Ctr, Key Lab Marine Spill Oil Identificat & Damage Ass, Qingdao 266033, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China |
| 第一作者单位 | 中国科学院海洋研究所 |
| 推荐引用方式 GB/T 7714 | Li, Xiaoyan,Wang, Chunhui,Fan, Wei,et al. Optimization of the Spatiotemporal Parameters in a Dynamical Marine Ecosystem Model Based on the Adjoint Assimilation[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2013:373540. |
| APA | Li, Xiaoyan,Wang, Chunhui,Fan, Wei,Lv, Xianqing,&Lv, XQ.(2013).Optimization of the Spatiotemporal Parameters in a Dynamical Marine Ecosystem Model Based on the Adjoint Assimilation.MATHEMATICAL PROBLEMS IN ENGINEERING,373540. |
| MLA | Li, Xiaoyan,et al."Optimization of the Spatiotemporal Parameters in a Dynamical Marine Ecosystem Model Based on the Adjoint Assimilation".MATHEMATICAL PROBLEMS IN ENGINEERING (2013):373540. |
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