文献类型：期刊文献

英文题名：An Improved MG Model for Turbulent Mixing Parameterization in the Northwestern South China Sea

作者：Hu, Minghao[1];Xie, Lingling[1,2];Li, Mingming[1,2];Zheng, Quanan[3];Zeng, Feihong[1];Chen, Xiaotong[1]

机构：[1]Guangdong Ocean Univ, Coll Ocean & Meteorol, Lab Coastal Ocean Variat & Disaster Predict, Zhanjiang 524088, Peoples R China;[2]Key Lab Climate Resources & Environm Continent She, Zhanjiang 524088, Peoples R China;[3]Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA

年份：2025

卷号：13

期号：1

外文期刊名：JOURNAL OF MARINE SCIENCE AND ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:001404271400001)、、Scopus(收录号：2-s2.0-85215773137)、WOS

基金：This work is funded by the National Key Research and Development Program (2022YFC3104805); National Natural Science Foundation of China (42276019); Guangdong Provincial Observation and Research Station for Tropical Ocean Environment in Western Coastal Waters (GSTOEW).

语种：英文

外文关键词：turbulent mixing parameterization; MG model; northwestern South China Sea; machine learning

外文摘要：Using in situ microstructure observations from 2010 to 2018, this study assesses the applicability of turbulent mixing parameterization schemes in the northwestern South China Sea (NSCS) and improves the MG model proposed by MacKinnon and Gregg in 2003 using machine learning methods. The results show that the estimation error of the MG model is still more than one order of magnitude in the NSCS. Also, the importance of parameters obtained from machine learning indicates that the normalized depth (D) is one of the most relevant parameters to the turbulent kinetic energy dissipation rate epsilon. Therefore, in this study, D is introduced into the MG model to obtain an improved MG model (IMG). The IMG model has an average correlation (r) between the estimated and observed log10 epsilon of 0.79, which is at least 49% higher than the MG model, and an average root mean square error (RMSE) of 0.25, which is at least 42% lower than that of the MG model. The IMG model accurately estimates the multi-year turbulent mixing observed in the NSCS, including before and after tropical cyclone passages. This provides a new perspective to study the physical principles and spatial and temporal distribution of turbulent mixing.