大气科学2025，Vol.49Issue(6)：1616-1632,17.DOI:10.3878/j.issn.1006-9895.2508.25097
人工智能垂直混合参数化方案在海洋模式中的应用和评估
Application and Evaluation of An Artificial Intelligence Vertical Mixing Parameterization in an Ocean Model
摘要
Abstract
Vertical mixing parameterization is a major source of uncertainty in ocean circulation models.Recently,deep learning has been used to improve traditional parameterization schemes as it can effectively capture complex nonlinear processes.This study employs hybrid programming technology to integrate the DLVMP(deep learning-based vertical mixing parameterization)proposed by Fang et al.(2025)into the LASG/IAP Climate System Ocean Model(LICOM)developed by the Institute of Atmospheric Physics.Three long-term climate simulations were conducted:A control experiment[CNTR,using Canuto et al.(2001)scheme],a K-Profile Parameterization(KPP)experiment,and a DLVMP sensitivity experiment.The results show that DLVMP shares some biases with KPP but improves the simulation of equatorial subsurface temperatures by using observations from that region.Compared with the Canuto et al.(2001)scheme,both DLVMP and KPP underestimated surface mixing and overestimated subsurface mixing in the equatorial Pacific,resulting in significant differences in temperature,salinity,mixed-layer depth,Atlantic Meridional Overturning Circulation(AMOC),and the STC(subtropical cell)among the experiments.Additionally,the underestimated surface vertical mixing weakens the mid-latitude ventilation process,resulting in an upward shift and intensification of the STC in the DLVMP experiment,accompanied by a significant cold temperature bias beneath the thermocline.This study highlights the challenges of considering the appropriate size and quality of the training dataset for deep learning-based parameterizations,providing key insights for future improvements.关键词
垂直混合参数化方案/数值模拟/海洋环流模式/深度学习Key words
Vertical mixing parameterization scheme/Numerical simulation/Oceanic General Circulation Model/Deep learning分类
海洋科学引用本文复制引用
俞永强,李金,李孝杰..人工智能垂直混合参数化方案在海洋模式中的应用和评估[J].大气科学,2025,49(6):1616-1632,17.基金项目
国家重点研发计划项目2022YFF0802001,国家重大科技基础设施项目"地球系统数值模拟装置"National Key Research and Development Program of China(Grant 2022YFF0802001),National Key Scientific and Technological Infrastructure project"Earth System Numerical Simulation Facility"(EarthLab) （Grant 2022YFF0802001）
