Actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation

US10439594B2 · kind B2 · utility

Assignee

• Harbin Engineering University · CN

Inventors

• Yuxin Zhao · Longbeilingcun, CN
• Chang Liu · Hohhot, CN
• Xuefeng Zhang · Mason, US
• Liqiang LIU · Lo Wu, CN
• Gang Li · Beijing, CN
• Feng Gao · Beijing, CN
• Ning Li · White Plains, US
• Zhifeng Shen · Xing'an, CN
• Zhenxing Zhang · Qingdao, CN
• Zhao Qi · Chengdu, CN

Key dates

• Filing date: Dec 1, 2014
• Grant date: Oct 8, 2019
• Expiry date: Dec 31, 2034

Classification

• Technology area (CPC H): Electricity
• CPC primary: H03H2017/021
• WIPO field: Basic communication processes
• WIPO sector: Electrical engineering

Abstract

The present invention provides an actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation. The method includes: preprocessing actually-measured marine environment data; calculating a target function value; calculating a gradient value of a target function; calculating a minimum value of the target function; extracting space multi-scale information from the actually-measured data; and updating background field data to form a final data assimilation analysis field. The present invention improves the traditional recursive filtering three-dimensional variation method, and sequentially assimilates information with different scales, thereby effectively overcoming the problem that multi-scale information cannot be effectively extracted by a traditional three-dimensional variation method. A high-order recursive Gaussian filter is used, and a cascaded form of the high-order recursive filter is converted into a parallel structure, so that the recursive filtering process of the recursive Gaussian filter can be executed in parallel, and many problems caused by a cascaded filter are overcome.