Method, apparatus, electronic device and storage medium for determining the correspondence between mesoscale eddies and marine heatwaves

By converting the flow field data of mesoscale vortexes and ocean heat wave data to polar coordinate systems and synthesize them, the problem of difficulty in determining the interaction relationship between mesoscale vortexes and ocean heat waves in the prior art is solved, and a more accurate correspondence relationship is achieved, providing technical support for marine environment prediction.

CN119940233BActive Publication Date: 2025-05-30HAINAN RES INST OF ZHEJIANG UNIV
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Patent Information

Application Number
CN202510429540.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-07
Publication Date
2025-05-30
Estimated Expiration
2045-04-07

AI Technical Summary

Technical Problem

The prior art is difficult to effectively determine the interaction relationship between mesoscale vortex and ocean heat waves, affecting marine environmental prediction and ecological balance.

Method used

By converting the flow field data and ocean heat wave data corresponding to the mesoscale vortex from the Cartesian coordinate system to the polar coordinate system, and uniformly into the preset angle interval under the polar coordinate system, the data of multiple mesoscale vortexes are synthesized to determine their correspondence with ocean heat waves.

Benefits of technology

A more accurate correspondence between mesoscale vortex and ocean heat waves is achieved, the influence of vortex spatial asymmetry is overcome, and technical support is provided for marine environmental change prediction and ecological protection.

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Abstract

The present disclosure provides a method, apparatus, electronic device, and storage medium for determining the correspondence between mesoscale eddies and marine heatwaves, which relates to the field of marine scientific research. The method includes: determining target flow field data and target marine heatwave data corresponding to each mesoscale eddy; converting the rectangular coordinates in the target flow field data and the target marine heatwave data to obtain initial flow field polar coordinates and initial marine heatwave polar coordinates; based on the initial flow field polar coordinates and the initial marine heatwave polar coordinates, obtaining target flow field polar coordinates and target marine heatwave polar coordinates within multiple preset angular intervals corresponding to the mesoscale eddy; and obtaining the correspondence between the mesoscale eddy and the marine heatwave according to the target flow field polar coordinates, flow field velocity, target marine heatwave polar coordinates, and marine heatwave intensity corresponding to multiple mesoscale eddies. The solution of the present disclosure can more effectively obtain the correspondence between mesoscale eddies and marine heatwaves, providing technical support for studying the impact of mesoscale eddies on marine heatwaves.
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Description

Technical Field

[0001] The present disclosure relates to the field of marine scientific research, and particularly to a method, device, electronic device and storage medium for determining the correspondence between mesoscale eddies and marine heatwaves. Background Art

[0002] Mesoscale eddies are a common eddy phenomenon in the ocean. According to their different rotation directions, they can be divided into anticyclonic mesoscale eddies and cyclonic mesoscale eddies. Marine heatwaves are an extreme high-temperature event in the ocean and have a significant impact on the marine ecosystem. Research shows that mesoscale eddies can regulate the development and evolution of marine heatwave phenomena through a series of processes such as convergence, divergence, and thermal advection. Therefore, determining the interaction relationship between mesoscale eddies and marine heatwaves is crucial for predicting marine environmental changes, protecting marine biodiversity, and maintaining the balance of the marine ecosystem. Summary of the Invention

[0003] The present disclosure provides a method, device, electronic device and storage medium for determining the correspondence between mesoscale eddies and marine heatwaves to at least solve the above technical problems existing in the prior art.

[0004] According to a first aspect of the present disclosure, there is provided a method for determining the correspondence between mesoscale eddies and marine heatwaves, the method comprising:

[0005] For each mesoscale eddy, determining target flow field data and target marine heatwave data corresponding to the mesoscale eddy; the target flow field data includes initial flow field rectangular coordinates and their corresponding flow field velocities, and the target marine heatwave data includes initial marine heatwave rectangular coordinates and their corresponding marine heatwave intensities;

[0006] Converting the initial flow field rectangular coordinates and the initial marine heatwave rectangular coordinates to obtain initial flow field polar coordinates and initial marine heatwave polar coordinates;

[0007] Based on the initial flow field polar coordinates and the initial marine heatwave polar coordinates, obtaining target flow field polar coordinates and target marine heatwave polar coordinates within a plurality of preset angular intervals corresponding to the mesoscale eddy;

[0008] According to the target flow field polar coordinates corresponding to a plurality of mesoscale eddies and their corresponding flow field velocities, and the target marine heatwave polar coordinates and their corresponding marine heatwave intensities, obtaining the correspondence between mesoscale eddies and marine heatwaves.

[0009] In an implementable embodiment, the step of, for each mesoscale eddy, determining target flow field data and target marine heatwave data corresponding to the mesoscale eddy includes:

[0010] For each mesoscale eddy, based on the occurrence time and occurrence location of the mesoscale eddy, the original flow field data and the original ocean heatwave data are screened to obtain the target flow field data and the target ocean heatwave data.

[0011] In an implementable manner, the conversion of the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates to obtain the initial flow field polar coordinates and the initial ocean heatwave polar coordinates includes:

[0012] Perform normalization processing on the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates to obtain intermediate flow field rectangular coordinates and intermediate ocean heatwave rectangular coordinates;

[0013] Convert the intermediate flow field rectangular coordinates and the intermediate ocean heatwave rectangular coordinates to obtain the initial flow field polar coordinates and the initial ocean heatwave polar coordinates.

[0014] In an implementable manner, the obtaining of the target flow field polar coordinates and the target ocean heatwave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale eddy based on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates includes:

[0015] Perform interpolation processing on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates to obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale eddy.

[0016] In an implementable manner, the obtaining of the corresponding relationship between the mesoscale eddy and the ocean heatwave according to the target flow field polar coordinates corresponding to a plurality of mesoscale eddies and their corresponding flow field velocities, the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities includes:

[0017] For the same preset angle interval, average the target flow field polar coordinates and their corresponding flow field velocities, the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities of a plurality of mesoscale eddies within the preset angle interval to obtain the average flow field polar coordinates, the average flow field velocity, the average ocean heatwave polar coordinates, and the average ocean heatwave intensity;

[0018] According to the average flow field polar coordinates, the average flow field velocity, the average ocean heatwave polar coordinates, and the average ocean heatwave intensity, obtain the corresponding relationship between the mesoscale eddy and the ocean heatwave.

[0019] In an implementable manner, the obtaining of the corresponding relationship between the mesoscale eddy and the ocean heatwave according to the average flow field polar coordinates, the average flow field velocity, the average ocean heatwave polar coordinates, and the average ocean heatwave intensity includes:

[0020] Convert the polar coordinates of the mean flow field and the polar coordinates of the mean ocean heatwave to determine the rectangular coordinates of the target flow field and the rectangular coordinates of the target ocean heatwave;

[0021] Perform visualization processing on the rectangular coordinates of the target flow field, the rectangular coordinates of the target ocean heatwave, the mean flow field velocity, and the mean ocean heatwave coordinates to obtain a visualization diagram; the visualization diagram characterizes the corresponding relationship between mesoscale eddies and ocean heatwaves.

[0022] In an implementable embodiment, the normalization processing of the rectangular coordinates of the initial flow field and the rectangular coordinates of the initial ocean heatwave to obtain the intermediate rectangular coordinates of the flow field and the intermediate rectangular coordinates of the ocean heatwave includes:

[0023] Obtain the effective radius of the mesoscale eddy;

[0024] Based on the effective radius, perform normalization processing on the rectangular coordinates of the initial flow field and the rectangular coordinates of the initial ocean heatwave to obtain the intermediate rectangular coordinates of the flow field and the intermediate rectangular coordinates of the ocean heatwave.

[0025] According to a second aspect of the present disclosure, there is provided an apparatus for determining the corresponding relationship between mesoscale eddies and ocean heatwaves, the apparatus including:

[0026] A data acquisition module, configured to determine, for each mesoscale eddy, the target flow field data and the target ocean heatwave data corresponding to the mesoscale eddy; the target flow field data includes the rectangular coordinates of the initial flow field and its corresponding flow field velocity, and the target ocean heatwave data includes the rectangular coordinates of the initial ocean heatwave and its corresponding ocean heatwave intensity;

[0027] A coordinate conversion module, configured to convert the rectangular coordinates of the initial flow field and the rectangular coordinates of the initial ocean heatwave to obtain the polar coordinates of the initial flow field and the polar coordinates of the initial ocean heatwave;

[0028] The coordinate conversion module is further configured to obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates within a plurality of preset angular intervals corresponding to the mesoscale eddy based on the polar coordinates of the initial flow field and the polar coordinates of the initial ocean heatwave;

[0029] A determination module, configured to obtain the corresponding relationship between mesoscale eddies and ocean heatwaves according to the target flow field polar coordinates corresponding to a plurality of mesoscale eddies and their corresponding flow field velocities, the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities.

[0030] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0031] At least one processor; and

[0032] A memory communicatively connected to the at least one processor; wherein,

[0033] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method described in the present disclosure.

[0034] According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method described in the present disclosure.

[0035] In the method, apparatus, electronic device, and storage medium for determining the correspondence between mesoscale eddies and marine heatwaves in the present disclosure, the flow field data and marine heatwave data corresponding to the mesoscale eddies in the rectangular coordinate system are transformed into the polar coordinate system. Then, in the polar coordinate system, the flow field data and marine heatwave data are unified within a preset angular range. In this way, the flow field data and marine heatwave data corresponding to all mesoscale eddies can be synthesized. Finally, based on the synthesized data, the correspondence between mesoscale eddies and marine heatwaves obtained is more accurate, providing technical support for evaluating the impact of mesoscale eddies on marine heatwaves.

[0036] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it used to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present disclosure will become readily understandable. In the drawings, several embodiments of the present disclosure are shown in an exemplary rather than restrictive manner, wherein:

[0038] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0039] Figure 1 Shows a schematic implementation flowchart of a method for determining the correspondence between mesoscale eddies and marine heatwaves according to an embodiment of the present disclosure;

[0040] Figure 2 Shows a visualization diagram according to an embodiment of the present disclosure;

[0041] Figure 3 Shows another visualization diagram according to an embodiment of the present disclosure;

[0042] Figure 4 Shows a schematic composition structure diagram of an apparatus for determining the correspondence between mesoscale eddies and marine heatwaves according to an embodiment of the present disclosure;

[0043] Figure 5The schematic diagram of the composition structure of an electronic device according to an embodiment of the present disclosure is shown. Detailed implementation manners

[0044] To make the objectives, features, and advantages of the present disclosure more obvious and understandable, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0045] Before further elaborating on the embodiments of the present disclosure, the nouns and terms involved in the embodiments of the present disclosure are first explained. The nouns and terms involved in the embodiments of the present disclosure are applicable to the following explanations:

[0046] Mesoscale eddy: A mesoscale eddy is a common vortex phenomenon in the ocean. Its spatial scale is generally between dozens of kilometers and hundreds of kilometers, and its life cycle ranges from several days to several months. Mesoscale eddies have obvious rotational characteristics and are divided into cyclonic mesoscale eddies (CE) and anticyclonic mesoscale eddies (AE). In the method of the present disclosure, CE and AE need to be processed separately.

[0047] Flow field corresponding to the mesoscale eddy: It refers to the flow state of seawater in the ocean area where the mesoscale eddy exists. The flow field can be described by velocity, including the magnitude and direction of the flow velocity. The flow field structure of the mesoscale eddy is complex, and usually, there are differences in the flow velocity and direction in the vortex center and edge regions.

[0048] Marine heatwave: A marine heatwave refers to the phenomenon that the ocean surface temperature is significantly higher than its historical average temperature during a certain period. Marine heatwaves will have a serious impact on the marine ecosystem and climate.

[0049] In the first aspect of the present disclosure, a method for determining the correspondence between mesoscale eddies and marine heatwaves is provided. As Figure 1 shown, the method includes:

[0050] Step 101, for each mesoscale eddy, determine the target flow field data and target marine heatwave data corresponding to the mesoscale eddy; the target flow field data includes the initial flow field rectangular coordinates and the corresponding flow field velocity, and the target marine heatwave data includes the initial marine heatwave rectangular coordinates and the corresponding marine heatwave intensity.

[0051] First, for each mesoscale eddy, data within the range of the mesoscale eddy are screened out from a large amount of flow field data and ocean heatwave data, and these data are used as target flow field data and target ocean heatwave data respectively. Among them, the target flow field data include the initial flow field rectangular coordinates of multiple flow field points. The initial flow field rectangular coordinates are the specific positions of the flow field points in the Cartesian coordinate system. And the flow field velocity at each flow field point at this position. The flow field velocity is the speed and direction of seawater flow at this point. The target ocean heatwave data include the initial ocean heatwave rectangular coordinates of each ocean heatwave. The initial ocean heatwave rectangular coordinates are the specific positions of the ocean heatwaves in the Cartesian coordinate system. And the corresponding ocean heatwave intensity at each position. The ocean heatwave intensity is the degree of abnormal increase in ocean temperature.

[0052] Step 102: Convert the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates to obtain the initial flow field polar coordinates and the initial ocean heatwave polar coordinates.

[0053] The initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates are represented based on the Cartesian coordinate system. To more accurately describe the spatial correspondence between the mesoscale eddy and the ocean heatwave, this step converts the rectangular coordinates. Specifically, the center of the mesoscale eddy is used as the origin of the polar coordinates. Using a coordinate conversion algorithm or formula, the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates are respectively converted into the initial flow field polar coordinates and the initial ocean heatwave polar coordinates.

[0054] Step 103: Based on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates, obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates within multiple preset angular intervals corresponding to the mesoscale eddy.

[0055] For the flow field data, the initial flow field polar coordinates often show a non-uniform distribution in space. This non-uniform distribution will bring certain difficulties to subsequent analysis. By classifying each data point into the corresponding preset angular interval to obtain the target flow field polar coordinates, the standardization of the flow field data in terms of azimuth can be achieved, so that the data within each preset angular interval has relatively consistent azimuth characteristics. Similarly, the initial ocean heatwave polar coordinates also have an uneven azimuth distribution. Using the same processing method as the flow field data, the initial ocean heatwave polar coordinates are divided according to the preset angular interval to obtain the target ocean heatwave polar coordinates.

[0056] The division standard of the preset angular interval can be determined according to actual needs. A smaller angular interval can provide more detailed azimuth information, but may result in insufficient data volume in some intervals. A larger angular interval can ensure the data volume, but may lose azimuth resolution. Therefore, the specific value of the preset angular interval can be determined by combining factors such as data distribution characteristics and research purposes.

[0057] Step 104: Obtain the correspondence between mesoscale eddies and ocean heatwaves based on the target flow field polar coordinates corresponding to multiple mesoscale eddies, their corresponding flow field velocities, the target ocean heatwave polar coordinates, and their corresponding ocean heatwave intensities.

[0058] The target flow field polar coordinates reflect the position of each flow field point relative to the mesoscale eddy center through the radial distance and polar angle, and the flow field velocity reflects the speed and direction of seawater flow at that position. These two together describe the characteristics of the mesoscale eddy flow field. The target ocean heatwave polar coordinates reflect the position of the ocean heatwave relative to the mesoscale eddy center through the radial distance and polar angle, and the ocean heatwave intensity reflects the degree of abnormal increase in ocean temperature at that position. These two together describe the characteristics of the ocean heatwave.

[0059] By comprehensively considering the target flow field polar coordinates corresponding to multiple mesoscale eddies, their corresponding flow field velocities, the target ocean heatwave polar coordinates, and their corresponding ocean heatwave intensities, more comprehensive information can be obtained to determine the correspondence between mesoscale eddies and ocean heatwaves.

[0060] First, based on the combined target flow field polar coordinates and target ocean heatwave polar coordinates, the association between mesoscale eddies and ocean heatwaves can be determined from the perspective of spatial position. For example, at the position determined by specific radial distance and polar angle, if the flow field shows strong rotational characteristics and at the same time the ocean heatwave intensity at that position is also at a relatively high level, then this indicates a close connection between the two in terms of spatial position.

[0061] Second, based on the combined flow field velocity and ocean heatwave intensity, the association between mesoscale eddies and ocean heatwaves can be determined from the perspective of intensity. For example, when the flow field velocity is in a fast state, the ocean heatwave intensity will show a trend of increase or decrease accordingly.

[0062] To more clearly and intuitively show the relationship between mesoscale eddies and ocean heatwaves in space, the combined target flow field polar coordinates and target ocean heatwave polar coordinates can also be converted to Cartesian coordinates before analysis. This method will be elaborated in detail in the subsequent embodiments and will not be elaborated here for the time being.

[0063] The method for determining the correspondence between mesoscale eddies and marine heatwaves in this embodiment is to transform the flow field data and marine heatwave data corresponding to the mesoscale eddies in the rectangular coordinate system into the polar coordinate system. Then, in the polar coordinate system, the flow field data and marine heatwave data are unified within a preset angular range. In this way, the flow field data and marine heatwave data corresponding to all mesoscale eddies can be synthesized. According to the synthesized data, the correspondence between mesoscale eddies and marine heatwaves is determined. This overcomes the influence of the spatial asymmetry of mesoscale eddies on calculating the spatial correspondence between mesoscale eddies and marine heatwaves. In this way, a more accurate correspondence between mesoscale eddies and marine heatwaves can be obtained, providing technical support for evaluating the impact of mesoscale eddies on marine heatwaves.

[0064] In one embodiment of the present disclosure, for each mesoscale eddy, the target flow field data and target marine heatwave data corresponding to the mesoscale eddy are determined, which can be specifically achieved through the following steps: For each mesoscale eddy, based on the occurrence time and occurrence location of the mesoscale eddy, the original flow field data and original marine heatwave data are screened to obtain the target flow field data and target marine heatwave data.

[0065] The original flow field data refers to a set of flow field data covering the entire study sea area and at different time nodes. Similarly, the original marine heatwave data refers to a set of marine heatwave data covering the entire study sea area and occurring at different time nodes. First, based on the occurrence time of the mesoscale eddy, the flow field data and marine heatwave data that match the occurrence time of the mesoscale eddy are respectively screened out from the original flow field data and original marine data.

[0066] Then, based on the occurrence location of the mesoscale eddy, the flow field data and marine heatwave data within the range of the mesoscale eddy are screened out. Specifically, the longitude and latitude of the outermost envelope line of the mesoscale eddy can be obtained. The mesoscale eddy is not an exact circle or regular shape, and the longitude and latitude of its outermost envelope line can more accurately define the spatial range of the mesoscale eddy in the ocean. By comparing the geographical coordinate information in the original flow field data and original marine heatwave data, the flow field data and marine heatwave data located within the longitude and latitude range of the outermost envelope line are determined as the target flow field data and target marine heatwave data.

[0067] In one embodiment of the present disclosure, the initial flow field rectangular coordinates and the initial marine heatwave rectangular coordinates are transformed to obtain the initial flow field polar coordinates and the initial marine heatwave polar coordinates, which can be specifically achieved through the following technical means: First, the initial flow field rectangular coordinates and the initial marine heatwave rectangular coordinates are normalized to obtain the intermediate flow field rectangular coordinates and the intermediate marine heatwave rectangular coordinates; then, the intermediate flow field rectangular coordinates and the intermediate marine heatwave rectangular coordinates are transformed to obtain the initial flow field polar coordinates and the initial marine heatwave polar coordinates.

[0068] First, normalize the initial rectangular coordinates of the flow field and the initial rectangular coordinates of the ocean heatwave. Unify these coordinates into a standard data interval, such as the interval [0, 1]. Through normalization, the differences caused by different dimensions or value ranges between different data can be eliminated, making subsequent processing more convenient and accurate. After normalization, the intermediate rectangular coordinates of the flow field and the intermediate rectangular coordinates of the ocean heatwave are obtained.

[0069] Next, perform coordinate transformation on the intermediate rectangular coordinates of the flow field and the intermediate rectangular coordinates of the ocean heatwave, converting them from the rectangular coordinate system to the polar coordinate system. In the polar coordinate system, the flow field data and the ocean heatwave data are represented by the distance (i.e., radius) from the center of the mesoscale eddy and the angle relative to the eddy center.

[0070] This representation method can directly reflect the relative positions and distribution characteristics of the flow field data and the ocean heatwave data with respect to the center of the mesoscale eddy, which is more intuitive and effective for analyzing mesoscale eddy-related phenomena.

[0071] In an embodiment of the present disclosure, normalizing the initial rectangular coordinates of the flow field and the initial rectangular coordinates of the ocean heatwave to obtain the intermediate rectangular coordinates of the flow field and the intermediate rectangular coordinates of the ocean heatwave specifically includes the following steps: obtaining the effective radius of the mesoscale eddy; based on the effective radius, normalizing the initial rectangular coordinates of the flow field and the initial rectangular coordinates of the ocean heatwave to obtain the intermediate rectangular coordinates of the flow field and the intermediate rectangular coordinates of the ocean heatwave.

[0072] First, the effective radius of the mesoscale eddy is a characteristic parameter that can characterize its vortex spatial scale and influence range. For the initial rectangular coordinates of the flow field, let a certain initial rectangular coordinate point of the flow field be (x, y). During normalization, divide the abscissa and ordinate of this point by the effective radius of the mesoscale eddy respectively. That is, the new abscissa and the new ordinate , where R is the effective radius of the mesoscale eddy.

[0073] After such processing, the flow field data originally represented by actual geographical coordinates is converted to a relative scale measured by the effective radius of the mesoscale eddy. Similarly, for the initial rectangular coordinates of the ocean heatwave, let a certain initial rectangular coordinate point of the ocean heatwave be (m, n), and perform similar operations, that is, the new abscissa and the new ordinate . After normalization based on the effective radius, the initial rectangular coordinates of the flow field are transformed into the intermediate rectangular coordinates of the flow field, and the initial rectangular coordinates of the ocean heatwave are transformed into the intermediate rectangular coordinates of the ocean heatwave.

[0074] This normalization process enables the subsequent analysis and processing of the flow fields and ocean heatwave data of different mesoscale eddies under a unified relative scale, eliminates the problem of inconsistent data scales caused by the size differences of mesoscale eddies, and lays a good data foundation for accurately studying the relationship between mesoscale eddies and ocean heatwaves in the future.

[0075] In one embodiment of the present disclosure, based on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates, the target flow field polar coordinates and the target ocean heatwave polar coordinates within multiple preset angular intervals corresponding to the mesoscale eddy are obtained. Specifically, it can be achieved through the following steps: perform interpolation processing on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates to obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates within multiple preset angular intervals corresponding to the mesoscale eddy.

[0076] First, it is necessary to clarify the division of the preset angular intervals. This division can be set according to the research purpose and the characteristics of the mesoscale eddy. For example, it can be set that the 360° circumference is divided into multiple angular intervals at intervals of 10°, starting from 0° and ending at 360°. Such a division helps to more meticulously analyze the flow field and ocean heatwave characteristics of the mesoscale eddy at different angles.

[0077] Next, perform interpolation processing on the initial flow field polar coordinates. Between the known polar coordinate data points, according to the selected interpolation algorithm (such as linear interpolation, spline interpolation, etc.), determine the corresponding flow field data values at each new angle according to the preset angular intervals. These values include the polar radius (i.e., the distance from the center of the mesoscale eddy) and the flow field velocity, etc. Through interpolation processing, the target flow field polar coordinates of the mesoscale eddy within the preset angular intervals are obtained.

[0078] Similarly, for the initial ocean heatwave polar coordinates, the same interpolation processing method is also adopted. According to the existing polar coordinate data, determine the ocean heatwave polar radius and intensity corresponding to each angle within the preset angular intervals, so as to obtain the target ocean heatwave polar coordinates. These coordinates can more comprehensively reflect the distribution and intensity characteristics of the ocean heatwave at different angles of the mesoscale eddy.

[0079] Through interpolation processing, it is possible to obtain more comprehensive, regular, and research - requirement - compliant flow field and ocean heatwave polar coordinate data within specific preset angular intervals. These data provide a better - quality and more reliable data foundation for further analyzing the corresponding relationship between mesoscale eddies and ocean heatwaves.

[0080] In one embodiment of the present disclosure, according to the target flow field polar coordinates corresponding to multiple mesoscale eddies, their corresponding flow field velocities, the target ocean heatwave polar coordinates, and their corresponding ocean heatwave intensities, the corresponding relationship between the mesoscale eddies and the ocean heatwaves is obtained. Specifically, it can be achieved through the following steps: For the same preset angle interval, average the target flow field polar coordinates and their corresponding flow field velocities, the target ocean heatwave polar coordinates, and their corresponding ocean heatwave intensities of multiple mesoscale eddies within the preset angle interval to obtain the average flow field polar coordinates, average flow field velocity, average ocean heatwave polar coordinates, and average ocean heatwave intensity; According to the average flow field polar coordinates, average flow field velocity, average ocean heatwave polar coordinates, and average ocean heatwave intensity, obtain the corresponding relationship between the mesoscale eddies and the ocean heatwaves.

[0081] First, for the same preset angle interval. Since multiple mesoscale eddies are involved, each mesoscale eddy has its own target flow field polar coordinates and corresponding flow field velocities, as well as target ocean heatwave polar coordinates and corresponding ocean heatwave intensities within this preset angle interval. By averaging the target flow field polar coordinates of multiple mesoscale eddies within this specific preset angle interval, an average flow field polar coordinate representing the overall characteristics of this angle interval can be obtained. For example, assume there are three mesoscale eddies. At the preset angle of 11°, the polar radius of the first eddy is r1, the polar radius of the second eddy is r2, and the polar radius of the third eddy is r3. After averaging them, the average polar radius of this angle interval is obtained. Since the angle is known, the average polar angle can also be obtained. The average polar radius and average polar angle can form the average flow field polar coordinates. Similarly, average the flow field velocities within this angle interval, add up the flow field velocities corresponding to multiple mesoscale eddies and divide by the number of eddies to obtain the average flow field velocity. The same operation is also performed on the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities, thereby obtaining the average ocean heatwave polar coordinates and average ocean heatwave intensity.

[0082] After obtaining these average values, the corresponding relationship between the mesoscale eddies and the ocean heatwaves can be deduced based on them. The average flow field polar coordinates and average flow field velocity reflect the comprehensive flow field characteristics of multiple mesoscale eddies within this preset angle interval, such as the average vortex radius, rotation speed, etc. The average ocean heatwave polar coordinates and average ocean heatwave intensity reflect the average distribution position and intensity of the ocean heatwave within this angle interval. By comparing the relationships between these average values, for example, determining whether the average ocean heatwave intensity also shows a specific change trend in the angle interval with a relatively fast average flow field velocity, the corresponding relationship between the mesoscale eddies and the ocean heatwaves in terms of spatial distribution and intensity change can be obtained, providing key information for obtaining the interaction between the two.

[0083] In an embodiment of the present disclosure, according to the average flow field polar coordinates, the average flow field velocity, the average marine heatwave polar coordinates, and the average marine heatwave intensity, the corresponding relationship between mesoscale eddies and marine heatwaves is obtained. Specifically, it can be achieved through the following steps: Convert the average flow field polar coordinates and the average marine heatwave polar coordinates to determine the target flow field rectangular coordinates and the target marine heatwave rectangular coordinates; perform visualization processing on the target flow field rectangular coordinates, the target marine heatwave rectangular coordinates, the average flow field velocity, and the average marine heatwave coordinates to obtain a visualization graph; the visualization graph represents the corresponding relationship between mesoscale eddies and marine heatwaves.

[0084] First, convert the average flow field polar coordinates and the average marine heatwave polar coordinates. Although the data in the polar coordinate system is helpful for the preliminary analysis of the relevant characteristics of mesoscale eddies, there are certain limitations in the intuitive display and understanding. To present the results more clearly, it is necessary to convert the polar coordinates to rectangular coordinates. Using the conversion formula between polar coordinates and rectangular coordinates, for the average flow field polar coordinates, the target flow field rectangular coordinates are obtained after conversion. Similarly, the average marine heatwave polar coordinates are also converted to obtain the target marine heatwave rectangular coordinates. In this way, the data represented by the polar radius and polar angle is transformed into the rectangular coordinate form represented by the horizontal and vertical directions, which is convenient for subsequent display on a two-dimensional plane.

[0085] Then, perform visualization processing. Perform visualization operations on the obtained target flow field rectangular coordinates, the target marine heatwave rectangular coordinates, combined with the average flow field velocity and the average marine heatwave intensity. During the visualization process, various chart forms can be used. For example, the position of the flow field data points is determined by the x and y values of the target flow field rectangular coordinates, and the size of the points and the addition of arrows are used to reflect the magnitude and direction of the average flow field velocity. The position of the marine heatwave data points is determined by the x and y values of the target marine heatwave rectangular coordinates, and different colors are used to represent different average marine heatwave intensities.

[0086] Through such a visualization graph, the corresponding relationship between the flow field characteristics of mesoscale eddies and the marine heatwave intensity at different spatial positions can be intuitively reflected. For example, the information in the graph shows that in some areas, the average flow field velocity is relatively fast, and at the same time, the average marine heatwave intensity is also relatively high. The correlation between the spatial distribution and intensity change of mesoscale eddies and marine heatwaves can be obtained, making this complex corresponding relationship clear at a glance, providing an intuitive and powerful analysis basis for researchers.

[0087] To better understand the above embodiments, the following provides a specific example for illustration:

[0088] For example, taking the data generated in the South China Sea region (latitude range: 0° - 25°N, longitude range: 99° - 125°E) from 1993 to 2022 as an example.

[0089] First, obtain all the flow field data and all the ocean heatwave data in this region within this time span, which are used as the initial flow field data and the initial ocean heatwave data respectively. Meanwhile, collect all the mesoscale eddy data in this region and within this time span, and separate the anticyclonic mesoscale eddies (AE) and cyclonic mesoscale eddies (CE) for processing. The mesoscale eddy data includes the central point position, the longitude and latitude of the outermost envelope, the effective radius, and the occurrence time. The initial flow field data covers the initial flow field rectangular coordinates of each point in the flow field and their corresponding flow field velocities. The time resolution of the initial ocean heatwave data is daily average, and the spatial resolution is 0.25°, including the initial ocean heatwave rectangular coordinates of each ocean heatwave and their corresponding ocean heatwave intensities.

[0090] Next, traverse each mesoscale eddy data. During this process, match the flow field data and ocean heatwave data at the same time as this mesoscale eddy. Then, from the filtered flow field data and ocean heatwave data at the same time as the mesoscale eddy, further filter out the data points located within the longitude and latitude range of the outermost envelope to obtain the target flow field data and the target ocean heatwave data. Specifically, this filtering operation can be achieved by using the inpolygon function in Matlab.

[0091] After that, perform distance normalization processing on the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates relative to the center of the mesoscale eddy. Specifically, divide the radial distance x and the latitudinal distance y in the rectangular coordinates by the effective radius of the mesoscale eddy respectively. After such normalization processing, the intermediate flow field rectangular coordinates and the intermediate ocean heatwave rectangular coordinates are obtained.

[0092] Then, convert the intermediate flow field rectangular coordinates and the intermediate ocean heatwave rectangular coordinates in the Cartesian coordinate system into data in the polar coordinate system to obtain the initial flow field polar coordinates and the initial ocean heatwave polar coordinates.

[0093] Based on the obtained initial flow field polar coordinates and the initial ocean heatwave polar coordinates, perform interpolation operations at intervals of 11° within the circumference of the mesoscale eddy. Interpolate these polar coordinates into the preset angle interval, and finally obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates.

[0094] Subsequently, perform averaging processing on the target flow field polar coordinates and the target ocean heatwave polar coordinates corresponding to all mesoscale eddies. For each same preset angle interval, average the target flow field polar coordinates and their corresponding flow field velocities, the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities of multiple mesoscale eddies within this preset angle interval to obtain the average flow field polar coordinates, the average flow field velocity, the average ocean heatwave polar coordinates, and the average ocean heatwave intensity.

[0095] Finally, the pol2cart function of Matlab is used to convert the polar coordinates of the mean flow field and the polar coordinates of the mean ocean heatwave to determine the rectangular coordinates of the target flow field and the rectangular coordinates of the target ocean heatwave. Visualization processing is performed on the rectangular coordinates of the target flow field, the rectangular coordinates of the target ocean heatwave, the mean flow field velocity, and the mean ocean heatwave intensity to obtain a visualization graph, which can intuitively characterize the corresponding relationship between mesoscale eddies and ocean heatwaves. For example, Figure 2 and Figure 3 respectively show the visualization graphs of the corresponding relationships between AE and CE and ocean heatwaves. The horizontal axis and the vertical axis respectively represent the x-axis and y-axis of the rectangular coordinate system. The size of the arrow represents the size of the flow field, and the direction of the arrow represents the direction of the flow field; different colors represent different intensities of ocean heatwaves from 1.51 to 1.57. From Figure 2 The visualization graph shown, it can be concluded that the flow field inside AE rotates clockwise, transporting the warm water in the southern part of the west side northward, making the northwest part the high-temperature center (the area with the largest ocean heatwave intensity, that is, the yellow area in the figure). Similarly, according to Figure 3 The visualization graph shown, it can be concluded that the flow field inside CE rotates counterclockwise, transporting the seawater in the southern part of the east side northward, resulting in the northeast part becoming the high-temperature center.

[0096] This method effectively overcomes the problem of data synthesis caused by the spatial asymmetry of mesoscale eddies by converting the flow field data and ocean heatwave data corresponding to mesoscale eddies in the rectangular coordinate system into polar coordinates, and realizes the standardized integration and analysis of multi-vortex data. Specifically, through polar coordinate transformation, vortex data at different positions and sizes are unified into a coordinate system with their respective centers as the origin, eliminating the influence of spatial misalignment. Interpolation is performed in the polar coordinate system according to a preset angular interval to form a regular array, enabling the synthesis and statistics of multi-vortex data. Finally, through the bidirectional conversion between polar coordinates and rectangular coordinates, both the geometric meaning of the physical characteristics of the vortex is retained and an intuitive visualization display is achieved, providing technical support for accurately predicting the occurrence and intensity changes of ocean heatwaves, and thus contributing to the protection and restoration of the marine ecosystem.

[0097] According to another aspect of the present disclosure, a device for determining the corresponding relationship between mesoscale eddies and ocean heatwaves is provided, as Figure 4 shown, the device includes:

[0098] A data acquisition module 401, configured to determine, for each mesoscale eddy, target flow field data and target ocean heatwave data corresponding to the mesoscale eddy; the target flow field data includes the rectangular coordinates of the initial flow field and the corresponding flow field velocity, and the target ocean heatwave data includes the rectangular coordinates of the initial ocean heatwave and the corresponding ocean heatwave intensity;

[0099] The coordinate transformation module 402 is configured to transform the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates to obtain the initial flow field polar coordinates and the initial ocean heatwave polar coordinates;

[0100] The coordinate transformation module 402 is further configured to obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates within a plurality of preset angular intervals corresponding to the mesoscale eddies based on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates;

[0101] The determination module 403 is configured to obtain the correspondence between the mesoscale eddies and the ocean heatwaves according to the target flow field polar coordinates corresponding to the plurality of mesoscale eddies and their corresponding flow field velocities, the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities.

[0102] In an embodiment of the present disclosure, the data acquisition module 401 is further configured to screen the original flow field data and the original ocean heatwave data for each mesoscale eddy based on the occurrence time and occurrence location of the mesoscale eddy to obtain the target flow field data and the target ocean heatwave data.

[0103] In an embodiment of the present disclosure, the coordinate transformation module 402 is further configured to perform normalization processing on the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates to obtain the intermediate flow field rectangular coordinates and the intermediate ocean heatwave rectangular coordinates; and transform the intermediate flow field rectangular coordinates and the intermediate ocean heatwave rectangular coordinates to obtain the initial flow field polar coordinates and the initial ocean heatwave polar coordinates.

[0104] In an embodiment of the present disclosure, the coordinate transformation module 402 is further configured to perform interpolation processing on the initial flow field polar coordinates and the initial ocean heatwave polar coordinates to obtain the target flow field polar coordinates and the target ocean heatwave polar coordinates within a plurality of preset angular intervals corresponding to the mesoscale eddies.

[0105] In an embodiment of the present disclosure, the determination module 403 is further configured to, for the same preset angular interval, average the target flow field polar coordinates corresponding to the plurality of mesoscale eddies within the preset angular interval and their corresponding flow field velocities, the target ocean heatwave polar coordinates and their corresponding ocean heatwave intensities to obtain the average flow field polar coordinates, the average flow field velocity, the average ocean heatwave polar coordinates, and the average ocean heatwave intensity; and obtain the correspondence between the mesoscale eddies and the ocean heatwaves according to the average flow field polar coordinates, the average flow field velocity, the average ocean heatwave polar coordinates, and the average ocean heatwave intensity.

[0106] In one embodiment of the present disclosure, the determination module 403 is further configured to convert the average flow field polar coordinates and the average ocean heatwave polar coordinates to determine the target flow field rectangular coordinates and the target ocean heatwave rectangular coordinates; perform visualization processing on the target flow field rectangular coordinates, the target ocean heatwave rectangular coordinates, the average flow field velocity, and the average ocean heatwave coordinates to obtain a visualization graph; the visualization graph characterizes the correspondence between mesoscale vortices and ocean heatwaves.

[0107] In one embodiment of the present disclosure, the coordinate conversion module 402 is further configured to obtain the effective radius of the mesoscale vortex; based on the effective radius, perform normalization processing on the initial flow field rectangular coordinates and the initial ocean heatwave rectangular coordinates to obtain the intermediate flow field rectangular coordinates and the intermediate ocean heatwave rectangular coordinates.

[0108] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0109] Figure 5 FIG. shows a schematic block diagram of an exemplary electronic device 800 that can be used to implement the embodiments of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as, for example, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, for example, a personal digital processor, a cellular phone, a smart phone, a wearable device, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0110] As Figure 5 shown, the device 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other through a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0111] A plurality of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disc, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0112] The computing unit 801 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 executes the various methods and processes described above, such as the method for determining the correspondence between mesoscale eddies and ocean heatwaves. For example, in some embodiments, the method for determining the correspondence between mesoscale eddies and ocean heatwaves can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the method for determining the correspondence between mesoscale eddies and ocean heatwaves described above can be executed. Alternatively, in other embodiments, the computing unit 801 can be configured to execute the method for determining the correspondence between mesoscale eddies and ocean heatwaves by any other suitable means (e.g., by means of firmware).

[0113] The various embodiments of the systems and techniques described above in this article can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a dedicated or general-purpose programmable processor, and can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] The program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, a special purpose computer, or other programmable data processing device, such that the program codes, when executed by the processor or controller, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0115] In the context of the present disclosure, a machine-readable medium may be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0116] In order to provide interaction with a user, the systems and techniques described herein may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0117] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), and the Internet.

[0118] A computer system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, can also be a server of a distributed system, or a server incorporating a blockchain.

[0119] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in this disclosure can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. There is no limitation herein.

[0120] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" can explicitly or implicitly include at least one such feature. In the description of this disclosure, "a plurality" means two or more unless otherwise specifically defined.

[0121] As described above, the above are only specific embodiments of this disclosure, but the protection scope of this disclosure is not limited thereto. Any person skilled in the art within the technical scope disclosed by this disclosure can easily think of changes or substitutions, which should all be covered within the protection scope of this disclosure. Therefore, the protection scope of this disclosure should be subject to the protection scope of the claims.

Claims

1. A method for determining the correspondence between mesoscale eddies and ocean heat waves, characterized in that: The method comprises: For each mesoscale eddy, determining target flow field data and target ocean heat wave data corresponding to the mesoscale eddy; the target flow field data includes initial flow field rectangular coordinates and corresponding flow field velocities, and the target ocean heat wave data includes initial ocean heat wave rectangular coordinates and corresponding ocean heat wave intensity; Converting the initial flow field rectangular coordinates and the initial ocean heat wave rectangular coordinates to obtain initial flow field polar coordinates and initial ocean heat wave polar coordinates; Based on the initial flow field polar coordinates and the initial ocean heat wave polar coordinates, obtaining target flow field polar coordinates and target ocean heat wave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale vortex; According to the target flow field polar coordinates and the corresponding flow field velocity, the target ocean heat wave polar coordinates and the corresponding ocean heat wave intensity corresponding to multiple mesoscale eddies, the corresponding relationship between mesoscale eddies and ocean heat waves is obtained; Wherein, obtaining the target flow field polar coordinates and the target ocean heat wave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale eddy based on the initial flow field polar coordinates and the initial ocean heat wave polar coordinates comprises: interpolating the initial flow field polar coordinates and the initial ocean heat wave polar coordinates to obtain the target flow field polar coordinates and the target ocean heat wave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale eddy; The method of obtaining the correspondence between the mesoscale eddies and the ocean heat waves according to the target flow field polar coordinates and the corresponding flow field velocities, the target ocean heat wave polar coordinates and the corresponding ocean heat wave intensities corresponding to the multiple mesoscale eddies comprises: for a same preset angle interval, averaging the target flow field polar coordinates and the corresponding flow field velocities, the target ocean heat wave polar coordinates and the corresponding ocean heat wave intensities of the multiple mesoscale eddies within the preset angle interval to obtain average flow field polar coordinates, average flow field velocity, average ocean heat wave polar coordinates and average ocean heat wave intensity; and obtaining the correspondence between the mesoscale eddies and the ocean heat waves according to the average flow field polar coordinates, the average flow field velocity, the average ocean heat wave polar coordinates and the average ocean heat wave intensity.

2. The method according to claim 1, characterized in that The step of determining, for each mesoscale vortex, target flow field data and target ocean heat wave data corresponding to the mesoscale vortex comprises: For each mesoscale eddy, the original flow field data and the original ocean heat wave data are screened based on the occurrence time and location of the mesoscale eddy to obtain target flow field data and target ocean heat wave data.

3. The method according to claim 1, characterized in that The converting of the initial flow field rectangular coordinates and the initial ocean heat wave rectangular coordinates to obtain the initial flow field polar coordinates and the initial ocean heat wave polar coordinates includes: Normalizing the initial flow field rectangular coordinates and the initial ocean heat wave rectangular coordinates to obtain intermediate flow field rectangular coordinates and intermediate ocean heat wave rectangular coordinates; The intermediate flow field rectangular coordinates and the intermediate ocean heat wave rectangular coordinates are converted to obtain initial flow field polar coordinates and initial ocean heat wave polar coordinates.

4. The method according to claim 1, characterized in that: The method of obtaining the corresponding relationship between the mesoscale vortex and the ocean heat wave according to the average flow field polar coordinates, the average flow field velocity, the average ocean heat wave polar coordinates and the average ocean heat wave intensity includes: Converting the average flow field polar coordinates and the average ocean heat wave polar coordinates to determine target flow field rectangular coordinates and target ocean heat wave rectangular coordinates; The target flow field rectangular coordinates, the target ocean heat wave rectangular coordinates, the average flow field velocity and the average ocean heat wave intensity are visualized to obtain a visualization graph; the visualization graph represents the corresponding relationship between the mesoscale vortex and the ocean heat wave.

5. The method according to claim 3, characterized in that: The normalizing the initial flow field rectangular coordinates and the initial ocean heat wave rectangular coordinates to obtain the intermediate flow field rectangular coordinates and the intermediate ocean heat wave rectangular coordinates includes: Get the effective radius of the mesoscale eddy; Based on the effective radius, the initial flow field rectangular coordinates and the initial ocean heat wave rectangular coordinates are normalized to obtain intermediate flow field rectangular coordinates and intermediate ocean heat wave rectangular coordinates.

6. A device for determining the correspondence between mesoscale eddies and ocean heat waves, characterized in that: The device comprises: A data acquisition module, for determining, for each mesoscale eddy, target flow field data and target ocean heat wave data corresponding to the mesoscale eddy; the target flow field data includes initial flow field rectangular coordinates and corresponding flow field velocities, and the target ocean heat wave data includes initial ocean heat wave rectangular coordinates and corresponding ocean heat wave intensity; A coordinate conversion module, used for converting the initial flow field rectangular coordinates and the initial ocean heat wave rectangular coordinates to obtain initial flow field polar coordinates and initial ocean heat wave polar coordinates; The coordinate conversion module is further used to obtain target flow field polar coordinates and target ocean heat wave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale vortex based on the initial flow field polar coordinates and the initial ocean heat wave polar coordinates; A determination module, for obtaining a corresponding relationship between a mesoscale eddy and an ocean heat wave according to target flow field polar coordinates and corresponding flow field velocities corresponding to a plurality of mesoscale eddies, target ocean heat wave polar coordinates and corresponding ocean heat wave intensities; The coordinate conversion module is further used to perform interpolation processing on the initial flow field polar coordinates and the initial ocean heat wave polar coordinates to obtain target flow field polar coordinates and target ocean heat wave polar coordinates within a plurality of preset angle intervals corresponding to the mesoscale vortex; The determination module is further used to average the target flow field polar coordinates and their corresponding flow field velocities, target ocean heat wave polar coordinates and their corresponding ocean heat wave intensities of multiple mesoscale eddies within the same preset angle interval to obtain average flow field polar coordinates, average flow field velocity, average ocean heat wave polar coordinates and average ocean heat wave intensity; and obtain the correspondence between the mesoscale eddies and the ocean heat waves based on the average flow field polar coordinates, average flow field velocity, average ocean heat wave polar coordinates and average ocean heat wave intensity.

7. An electronic device, characterized in that: include: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to make a computer execute the method according to any one of claims 1-5.

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