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Detection method of ocean eddy variation based on historical similarity cases

A similarity and similarity coefficient technology, applied in the information field, can solve the problems of inability to conduct comprehensive and accurate detection, analysis and detection of vortex development trends, and time-consuming problems

Inactive Publication Date: 2010-02-10
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Application Information

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Problems solved by technology

However, each of these methods has certain limitations
For example, numerical simulation, although it can continuously provide the change data of the ocean eddy at different times, due to the influence of boundary conditions, different areas need to be re-adjusted and run, which is time-consuming; although mathematical statistical calculation methods can give However, there is no way to realize the detection of specific eddies; although the quantitative detection method of ocean remote sensing can extract the local characteristics and parameter information of ocean eddies for certain data, it cannot analyze and detect eddies. The development trend of spin
Therefore, for the detection of changes in the ocean eddy, the above-mentioned method alone cannot be used for comprehensive and accurate detection, and it is necessary to find a new idea that can integrate the above-mentioned methods

Method used

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  • Detection method of ocean eddy variation based on historical similarity cases
  • Detection method of ocean eddy variation based on historical similarity cases
  • Detection method of ocean eddy variation based on historical similarity cases

Examples

Experimental program
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Effect test

Embodiment 1

[0052] The research object is the ocean eddies that appeared in the South China Sea region (the span is about 0°-23°N, 99°-121°E, and the area is about 3.5 million square kilometers) from November 2003 to February 2009.

[0053] The original data of this example adopt the ocean element field (sea surface height difference SSHA, sea surface temperature SST) simulated by the 1 / 32×1 / 32 degree global stratified ocean numerical model This model is assimilated with a variety of satellite data, mainly including using ENVISAT, GFO and JASON-1 to assimilate the sea surface height difference SSHA, and using IR data to assimilate SST. The case constructed in this example is obtained from the data of these three element fields through expert identification. Figure 3 shows an example of the data and the South China Sea vortex identified on the data.

[0054] (1) According to the new case expression model, the spatial form of the ocean vortex at a certain moment and its corresponding spatio...

Embodiment 2

[0102] The ocean eddies that appeared in the Gulf Stream region from November 2003 to February 2009 were used as the test object.

[0103] The method and calculation method of constructing the case base are the same as in Example 1. In this example, 120 typical eddy evolution processes in the Gulf Stream region are selected for the construction of the case library.

[0104] In order to verify the method of the present invention, 20 vortex processes were randomly selected from the historical case library as test cases. The construction of the case and the process of spatial relationship extraction are as in example 1. After constructing the cases and the case library, the similarity historical case extraction and change result detection are carried out according to the similarity calculation formula and algorithm.

[0105] The historical case library constructed (Table 1); the test results and precision of vortex strength are shown in Table 2; the test results and precision o...

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Abstract

The invention provides a detection technology of ocean eddy variation based on historical similarity cases, belonging to the information technical field. The method is mainly applied to quantitative variation detection of ocean eddy, and the implementation technical scheme thereof is as follows: establishing a historical case library combined with an eddy spatial-temporal characteristic relationship extracted by a rough set method on the basis of expression models of the ocean eddy cases, then calculating the similarity between the current cases and the historical cases to obtain the historical case which is most similar to the current cases, and finally detecting variation of the current eddy cases according to the situation of the historical cases. Compared with the eddy variation studied by the existing dynamic analysis method via ocean water masses and dynamics, the method is simpler and more flexible; and the historical case library can be dynamically updated with self-learning capability, thus being capable of quickly adapting to ocean eddy with complicated spatial-temporal characteristics so as to carry out more reasonable and more accurate variation detection.

Description

technical field [0001] The invention relates to a method for quantitatively detecting changes in ocean eddies by using historical similarity cases, and belongs to the field of information technology. Background technique [0002] At present, different research groups have adopted a variety of methods to study the change of ocean eddies. In summary, there are two main methods: one is to use the ocean water mass to indirectly study the static method of eddies; the other is to study the flow direction and velocity of ocean currents. A dynamic dynamic method for analyzing the characteristics of ocean eddies. The latter has two main approaches: the first is to analyze ocean eddies and currents directly based on survey data or remote sensing retrieval data, combined with conventional ocean analysis methods; the second is to perform numerical simulations on currents and eddies. The former indirectly reflects the growth and decline and attribute characteristics of the ocean eddy by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C13/00G06F17/30
CPCY02A90/10
Inventor 杜云艳周成虎王丽敬杨新忠齐光雅
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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