Harbin Engineering University

Chang Liu

Yuxin Zhao

Ning Li

Qiuyang Zhang

Zhifeng Shen

Jiaxun Li

Ting Zhao

Rixu Hao

Liqiang Liu

Zhenxing Zhang

Dequan Yang

Shuo Yang

Feng Gao

Hengde Zhao

Xuefeng Zhang

Gang Li

Zhao Qi

Yanlong Liu

A method for a three-dimensional temperature and salinity field, including: based on multi-source marine environmental data, analyzing the spatiotemporal distribution characteristics of marine dynamic environmental elements, and studying the characteristics of the temperature-salinity relation; on the basis of analysis of the spatiotemporal characteristics and study of the characteristics of the temperature-salinity relation, establishing a statistical prediction model of marine environmental dynamic elements by a spatiotemporal empirical orthogonal function method; based on the observation data of temperature and salinity obtained by the marine transportation platform, correcting a marine environment forecast field around the marine transportation platform by using a realtime analysis technology of a marine environment field; and adjusting the salinity using a temperature-salinity relation curve after the temperature and salinity are forecasted.

Marine transportation platform guarantee-oriented analysis and prediction method for three-dimensional temperature and salinity field

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.

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

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Heilongjiang, China

Chang Liu