摘要
本文主要介绍了作者研究组近几年来将非线性最优化方法应用于大气-海洋科学研究中的有关工作,重点是基于非线性最优化所提出的条件非线性最优扰动(CNOP)方法的理论框架及近几年的发展,以及在大气-海洋科学研究中的最新应用成果,主要包括集合预报、一些高影响海-气环境事件的可预报性、模式参数敏感性的识别以及模式倾向误差和边界条件误差的评估等.此外,本文也讨论了应用CNOP方法面临的困难与挑战,并展望了未来的发展.
This paper mainly introduces recent applications of nonlinear optimization approach to atmospheric and oceanic sciences.Emphasis is placed on the theoretical framework of the conditional nonlinear optimal perturbation（CNOP） method that is based on nonlinear optimization,and the works aiming to make it comprehensive.The application progresses of the CNOP method in atmospheric and oceanic sciences are briefly presented,including the applications for ensemble forecast,predictability of some high-impact ocean-atmospheric environmental events,recognition of model parameter sensitivities,assessments of model tendency error and boundary condition error.In addition,we also discuss the difficulties and challenges for the application of the CNOP approach and suggest directions for future development.
作者
穆穆
王强
MU Mu WANG Qiang
出处
《中国科学：数学》
CSCD
北大核心
2017年第10期1207-1222,共16页
Scientia Sinica：Mathematica
基金
国家自然科学基金(批准号:41230420)资助项目
关键词
非线性最优化
条件非线性最优扰动(CNOP)
大气
海洋
nonlinear optimization, conditional nonlinear optimal perturbation （CNOP）, atmosphere, ocean
