Sound velocity profile inversion method based on empirical orthogonal function method

Abstract

The invention provides a novel method for inverting a sound velocity profile of a whole sea area by using sea surface height data, sea surface temperature data and feedback temperature data based on an empirical orthogonal function. The method comprises the following steps: S1, acquiring an Argo sound velocity profile and sea surface remote sensing data; s2, reconstructing the sound velocity profile based on an empirical orthogonal function; and s3, performing sound velocity profile inversion based on the sea surface parameters; the invention further provides a method for optimizing the regression relation by using the seawater layer temperature data with the poor inversion effect and application of the method. Compared with a previous inversion method based on EOF decomposition of a first mode, the method considers more modes, optimizes a sound velocity profile inversion method, improves the correlation between the sea surface data and each order of mode of the sound velocity profile, and improves the performance of the inversion method in each sea area. And a powerful basis is provided for applying inversion sound velocity profile data to the fields of underwater sound detection, marine environment monitoring, sonar performance evaluation and the like in the future.

Description

technical field [0001] The invention relates to the field of underwater acoustic physics, in particular to a sound velocity profile inversion method based on an empirical orthogonal function method. Background technique [0002] In view of the importance of the sound velocity profile in the process of sound field analysis, how to effectively obtain a large-scale and high-resolution sound velocity profile has become a research hotspot in oceanography and hydroacoustics. At present, the on-site measurement of the ocean sound velocity profile is mainly realized by using various temperature, salinity and depth sensors. By measuring the temperature and salinity of seawater at different depths, and then combining with empirical formulas to calculate the sound velocity profile, typical equipment such as disposable thermostats Depth profiler (XBT), temperature and salinity depth instrument (CTD), etc. However, the on-site measurement method not only requires a lot of manpower and m...

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Problems solved by technology

[0009] Frontier studies have shown that it is feasible to use sea surface parameters to invert the underwater temperature, which means that sea surface parameters can be used to invert the underwater sound velocity profile, but few people have explored the effect of this inversion method on the sound velocity profile. The impact on global oceans and how to further optimize the results, few people consider applying methods that can reflect the inversion results better than the root mean square error to evaluate the inversion performance

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