Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach | |
Gao Yongli1,2,3; Mu Mu4; Zhang Kun1,5,6
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| 2020-06-07 | |
| Source Publication | JOURNAL OF OCEANOLOGY AND LIMNOLOGY
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| ISSN | 2096-5508 |
| Pages | 12 |
| Corresponding Author | Zhang Kun(kzhang@qdio.ac.cn) |
| Abstract | Parameter uncertainty is a primary source of uncertainty in ocean ecosystem simulations. The deep chlorophyll maximum (DCM) is a ubiquitous ecological phenomenon in the ocean. Using a theoretical nutrients-phytoplankton model and the conditional nonlinear optimal perturbation approach related to parameters, we investigated the effects of parameter uncertainties on DCM simulations. First, the sensitivity of single parameter was analyzed. The sensitivity ranking of 10 parameters was obtained by analyzing the top four specifically. The most sensitive parameter (background turbidity) affects the light supply for DCM formation, whereas the other three parameters (nutrient content of phytoplankton, nutrient recycling coefficient, and vertical turbulent diffusivity) control nutrient supply. To explore the interactions among different parameters, the sensitivity of multiple parameters was further studied by examining combinations of four parameters. The results show that background turbidity is replaced by the phytoplankton loss rate in the optimal parameter combination. In addition, we found that interactions among these parameters are responsible for such differences. Finally, we found that reducing the uncertainties of sensitive parameters could improve DCM simulations remarkably. Compared with the sensitive parameters identified in the single parameter analysis, reducing parameter uncertainties in the optimal combination produced better model performance. This study shows the importance of nonlinear interactions among various parameters in identifying sensitive parameters. In the future, the conditional nonlinear optimal perturbation approach related to parameters, especially optimal parameter combinations, is expected to greatly improve DCM simulations in complex ecosystem models. |
| Keyword | deep chlorophyll maximum (DCM) simulation parameter uncertainty conditional nonlinear optimal perturbation related to parameters (CNOP-P) sensitivity |
| DOI | 10.1007/s00343-020-0020-y |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Qingdao National Laboratory for Marine Science and Technology[2016OPR0107] ; National Natural Science Foundation of China[41806013] |
| WOS Research Area | Marine & Freshwater Biology ; Oceanography |
| WOS Subject | Limnology ; Oceanography |
| WOS ID | WOS:000538711200001 |
| Publisher | SCIENCE PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.qdio.ac.cn/handle/337002/167757 |
| Collection | 海洋环流与波动重点实验室 |
| Corresponding Author | Zhang Kun |
| Affiliation | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.China Univ Petr East China, Coll Sci, Qingdao 266580, Peoples R China 4.Fudan Univ, Inst Atmospher Sci, Shanghai 200433, Peoples R China 5.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China 6.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China |
| First Author Affilication | Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences |
| Corresponding Author Affilication | Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences; Center for Ocean Mega-Science, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Gao Yongli,Mu Mu,Zhang Kun. Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2020:12. |
| APA | Gao Yongli,Mu Mu,&Zhang Kun.(2020).Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,12. |
| MLA | Gao Yongli,et al."Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach".JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2020):12. |
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| File Name/Size | DocType | Version | Access | License | ||
| Impacts of parameter（1297KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View | |
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