Method for quickly analyzing ocean elements of sea area around ship position

Abstract

The invention discloses a method for quickly analyzing ocean elements of a sea area around a ship position. The method comprises the following steps: (1) carrying out interpolation processing on thermohaline flow data acquired by a ship track, and further performing processing to obtain an ocean thermohaline flow distance flat matrix; (2) performing empirical orthogonal function decomposition on the ocean thermohaline flow distance flat matrix to obtain a modal result; (3) performing significance test on the modal result, and judging whether the modal result has physical significance or not toobtain an effective modal result; (4) establishing a target functional by utilizing an effective modal result, solving a minimum value of the target functional, and constructing a real-time analysismodel; and (5) substituting a modal result obtained by decomposition in the step (2) into the real-time analysis model to obtain a real-time analysis result of the marine thermohaline flow elements ofthe sea area around the ship position, thereby realizing real-time prediction of the thermohaline flow elements of the sea area around the ship when the ship sails in the unknown sea area. Through anempirical orthogonal function method, the four-dimensional thermohaline flow field is decomposed and analyzed, so that real-time analysis of ocean thermohaline flow elements of sea areas around a boat position is realized.

Description

technical field [0001] The invention relates to real-time analysis of marine elements, in particular to a method for rapidly analyzing marine elements in sea areas around a boat position. Background technique [0002] All over the world, we can see abnormal climates. Among them, the influence of oceans on climate is particularly important, especially the real-time changing trends and characteristics of ocean temperature and salt currents, which are extremely important for military decision-making and exercises. However, due to the lack of continuous, large-scale, and real-time ocean survey data, the previous analysis of ocean temperature and salinity flow was often based on the observation data of sporadic areas and stations or non-real-time data. This method is not representative. The reliability of the analysis results obtained is very low, so it is difficult to meet the military and civilian needs of today's society. Therefore, there are very few real-time analysis studie...

AI Technical Summary

Problems solved by technology

However, due to the lack of continuous, large-scale, and real-time ocean survey data, the previous analysis of ocean temperature and salinity flow was often based on the observation data of sporadic areas and stations or non-real-time data. This method is not representative. The reliability of the analysis results obtained is very low, so it is difficult to meet the military and civilian needs of today's society. Therefore, there are very few real-time analysis studies on ocean temperature and salt currents, and further studies on the real-time distribution and flow characteristics of ocean temperature and salt currents Lack of sufficient understanding, if we can understand and master the real-time distribution and flow characteristics of ocean temperature and salinity current, then the real-time analysis of ocean temperature and salinity current will be of great significance

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