Simulating oceanic responses to Super Typhoon Bolaven (2023) in the Northwest Pacific Ocean using a numerical model coupled with machine learning-based ocean vertical mixing parameterization
文献类型：期刊论文
| 作者 | Shen, Dongliang; Li, Xiaofeng |
| 刊名 | OCEAN MODELLING
 |
| 出版日期 | 2026-02-01 |
| 卷号 | 199页码:14 |
| 关键词 | Super typhoon Ocean numerical simulation Machine learning Large eddy simulation Ocean Vertical Mixing Parameterization |
| ISSN号 | 1463-5003 |
| DOI | 10.1016/j.ocemod.2025.102639 |
| 通讯作者 | Li, Xiaofeng(lixf@qdio.ac.cn) |
| 英文摘要 | The Oceanic responses to Super Typhoon Bolaven (2023) in the Northwest Pacific Ocean are simulated and investigated by the Regional Ocean Modeling System (ROMS) integrated with a Machine Learning (ML) based ocean vertical mixing parameterization (OVMP) scheme. Traditional OVMP schemes, such as MY25 and KPP, underestimate the ocean vertical mixing processes under typhoon condition. To address this limitation, vertical eddy viscosity (Km) data were generated under Typhoon Bolaven using the high-resolution Parallelized Large Eddy Simulation Model (PALM) and used to train a XGBoost-based ML model. This XGBoost model is used to form a ML-based OVMP scheme and integrated into ROMS model via Forpy coupler. The results indicate that ROMS-ML coupled model can significantly improve the simulations of sea surface temperature (SST) cooling and subsurface thermal structure compared to traditional OVMP schemes. The ML-based OVMP scheme estimates stronger ocean vertical mixing under Typhoon Bolaven, enhancing the upper-oean heat redistribution and aligning more closely with the satellite and in-situ observations. Thermodynamic analyses reveal that the temperature cooling in the upper ocean is primarily driven by strong ocean vertical mixing, latent heat loss, and vertical advection. Notably, the structure of the North Pacific Subtropical Mode Water (STMW) was altered by Typhoon Bolaven, with reductions in its area and thickness, suggesting a weakened heat reservoir and potential impact on regional climate buffering. Momentum energy analyses confirm that vertical viscosity is the dominant contributor to oceanic energy input during Typhoon Bolaven, promoting local eddy generation and associated cooling. Moreover, additional diagnostics under Typhoon Haikui (2023) indicate that while the ML-based OVMP scheme captures localized cooling more accurately than traditional schemes, it tends to overestimate vertical mixing in regions with complex circulation and steep bathymetry. Overall, this study highlights the potential of physics-informed ML approaches in improving the accuracy of ocean simulations under extreme weather events, offering a promising pathway for improving coupled atmosphere-ocean prediction systems under climate change with more frequent super typhoons. |
| WOS关键词 | SURFACE ; COASTAL ; TURBULENCE ; LAYER ; COORDINATE |
| 资助项目 | National Natural Science Fundation of China[42376175] ; Postdoctoral Fellowship Porgram of CPSF[GZC20232706] ; National Natural Science Foundation of China[42090044] ; Qingdao Science and Technology for People's Livelihood Demonstration Special Project[25-1-5-cspz-18-nsh] ; Self-Deployed Project of the Institute of Oceanology, Chinese Academy of Sciences[IOCASZZZX103] |
| WOS研究方向 | Meteorology & Atmospheric Sciences ; Oceanography |
| 语种 | 英语 |
| WOS记录号 | WOS:001602538600001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/203683]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Li, Xiaofeng |
| 作者单位 | Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Dongliang,Li, Xiaofeng. Simulating oceanic responses to Super Typhoon Bolaven (2023) in the Northwest Pacific Ocean using a numerical model coupled with machine learning-based ocean vertical mixing parameterization[J]. OCEAN MODELLING,2026,199:14. |
| APA | Shen, Dongliang,&Li, Xiaofeng.(2026).Simulating oceanic responses to Super Typhoon Bolaven (2023) in the Northwest Pacific Ocean using a numerical model coupled with machine learning-based ocean vertical mixing parameterization.OCEAN MODELLING,199,14. |
| MLA | Shen, Dongliang,et al."Simulating oceanic responses to Super Typhoon Bolaven (2023) in the Northwest Pacific Ocean using a numerical model coupled with machine learning-based ocean vertical mixing parameterization".OCEAN MODELLING 199(2026):14. |
入库方式： OAI收割
来源：海洋研究所
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