Method and system for reconstructing three-dimensional temperature, salinity and density of ocean eddies based on physical constraints

Abstract

The present invention discloses a method and system for reconstructing the three-dimensional temperature, salinity, and density of ocean eddies based on physical constraints. By integrating multi-source information such as climatological temperature and salinity data, sea surface height, temperature, and salinity observation data, and utilizing physical constraints and the vertical modal structure of eddies, the present invention constructs a vertical distribution model of eddy density. The vertical temperature and salinity structure of eddies is then calculated, and the reconstruction results are corrected in combination with sea surface observation data, thereby reconstructing the three-dimensional temperature, salinity, and density structure of eddies. The present invention only requires observed sea surface height, temperature, and salinity data, combined with historical data, to rapidly identify eddy features and reconstruct high-precision three-dimensional temperature, salinity, and density of eddies.

Description

Technical Field

[0001] The present invention relates to a three-dimensional ocean vortex reconstruction technology, in particular to a physically constrained three-dimensional ocean vortex temperature, salinity and density reconstruction method and system. Background Art

[0002] Ocean eddies play an important role in ocean dynamics, exerting a profound influence on climate change, material transport, and marine ecosystems. However, due to the limitations of existing observation methods, current research on the three-dimensional structure of eddies relies mainly on field measurements. Although field measurements can provide detailed local information on eddies, they are generally only applicable to the study of individual eddies and cannot meet the needs of large-scale, long-term eddy research. In addition, the field measurement process is time-consuming and costly, and obtaining the complete three-dimensional structure of eddies remains a major challenge in current scientific research.

[0003] In recent years, the rapid development of satellite remote sensing technology has made the acquisition of ocean surface data more efficient and convenient. Satellite remote sensing can provide real-time or near-real-time ocean surface information with wide coverage, high spatial resolution, and strong temporal continuity. However, most studies analyze eddy characteristics based primarily on this ocean surface data, lacking in-depth characterization of the eddy's vertical structure. Therefore, methods that rely solely on ocean surface data cannot accurately restore the internal three-dimensional structure of the eddy. Summary of the Invention

[0004] Purpose of the invention: The purpose of the present invention is to provide a physically constrained ocean vortex three-dimensional temperature, salinity and density reconstruction method and system to solve the problem that relying on sea surface data cannot accurately restore the three-dimensional structure of the vortex interior.

[0005] Technical solution: The method for reconstructing three-dimensional ocean vortex temperature, salinity and density based on physical constraints of the present invention is characterized by comprising the following steps:

[0006] (1) Collecting climatological data and sea surface observation data to identify vortex areas; the climatological data are historical sea surface height, temperature, salinity and density, and the sea surface observation data are real-time observed sea surface height, temperature, salinity and density;

[0007] (2) For each grid point in the vortex region, the vortex vertical pressure anomaly structure is calculated, and the vortex density vertical structure is calculated based on the vortex vertical pressure anomaly structure and the climatological density vertical structure; using the coordinate mapping of the vortex density vertical structure and the climatological density vertical structure, the climatological temperature vertical structure and the climatological salinity vertical structure are interpolated to obtain the vortex temperature vertical structure and the vortex salinity vertical structure;

[0008] (3) Linearly interpolating the sea surface observation data with the reconstructed data of the mixed layer bottom to obtain the temperature correction vertical structure, salinity correction vertical structure, and density correction vertical structure, respectively; using the temperature correction vertical structure, salinity correction vertical structure, and density correction vertical structure to correct the eddy temperature vertical structure, eddy density vertical structure, and eddy salinity vertical structure, to obtain the corrected temperature vertical structure, density vertical structure, and salinity vertical structure;

[0009] The reconstructed data of the bottom of the mixed layer is: the depth of the mixed layer is selected according to the temperature threshold , is the mth vertical grid point in the vortex area, m∈1~N; the correction method is: replace the vortex temperature vertical structure, vortex density vertical structure and vortex salinity vertical structure at the 1st to mth vertical grid points with the corresponding temperature correction vertical structure, salinity correction vertical structure and density correction vertical structure respectively.

[0010] Furthermore, in step (2), the vortex vertical pressure abnormal structure is , where the first two solutions are obtained by solving the characteristic equation of the vortex vertical mode and , 、 is the modal coefficient.

[0011] Further, and The pressure data at 1000 s is substituted into the vortex vertical pressure anomaly structure, and the simultaneous equations are solved to obtain and ;in, Time By observing the anomaly of sea surface pressure, hour is 0, is the vortex influence depth.

[0012] Furthermore, in step (2), the vertical structure of the vortex density ,in is the reference density, is the acceleration due to gravity, is the Coriolis parameter, is the sea level, It is the abnormal structure of vortex vertical pressure.

[0013] Furthermore, in step (2), the vertical structure of the vortex density Superimposed climate state density vertical structure Obtain the vertical structure of vortex density , .

[0014] Furthermore, in step (2), the method of interpolating the climatic temperature vertical structure and the climatic salinity vertical structure using the coordinate mapping of the vortex density vertical structure and the climatic density vertical structure to obtain the vortex temperature vertical structure and the vortex salinity vertical structure includes the following steps:

[0015] Establishing the vertical structure of vortex density Vertical structure of climate state density Coordinate mapping relationship , establish coordinate mapping relationship The method is: at the vertical grid points in the vortex area On the grid, the interpolation method is used to determine the value of each grid point Density exist The vertical coordinate on , ;

[0016] Interpolate the climatological temperature vertical structure to Then, according to the coordinate mapping relationship Perform inverse mapping to obtain the vertical structure of vortex temperature on the vertical grid points in the vortex area;

[0017] Interpolate the vertical structure of climatological salinity to Then, according to the coordinate mapping relationship Perform inverse mapping to obtain the vertical structure of eddy salinity on the vertical grid points in the eddy area.

[0018] Furthermore, in step (3), the depth of the mixed layer is selected according to the temperature threshold. The method is: the extraction temperature is lower than the sea surface temperature by a certain threshold Depth , at the vertical grid point in the vortex region Select the last one less than The grid points are .

[0019] The ocean vortex three-dimensional temperature, salinity and density reconstruction system based on physical constraints of the present invention comprises:

[0020] A vortex region identification unit is used to collect climatic data and sea surface observation data to identify vortex regions; the climatic data is historical sea surface height, temperature, salinity and density, and the sea surface observation data is real-time observed sea surface height, temperature, salinity and density;

[0021] The temperature-salinity-density reconstruction unit is used to calculate the vortex vertical pressure anomaly structure for each grid point in the vortex area, and calculate the vortex density vertical structure based on the vortex vertical pressure anomaly structure and the climatic density vertical structure; using the coordinate mapping of the vortex density vertical structure and the climatic density vertical structure, the climatic temperature vertical structure and the climatic salinity vertical structure are interpolated to obtain the vortex temperature vertical structure and the vortex salinity vertical structure;

[0022] a temperature, salinity, and density reconstruction correction unit, configured to linearly interpolate the sea surface observation data with the reconstructed data of the mixed layer bottom to obtain a temperature correction vertical structure, a salinity correction vertical structure, and a density correction vertical structure, respectively; and to correct the eddy temperature vertical structure, the eddy density vertical structure, and the eddy salinity vertical structure using the temperature correction vertical structure, the salinity correction vertical structure, and the density correction vertical structure to obtain a corrected temperature vertical structure, a density vertical structure, and a salinity vertical structure;

[0023] The reconstructed data of the bottom of the mixed layer is: the depth of the mixed layer is selected according to the temperature threshold , is the mth vertical grid point in the vortex area, m∈1~N; the correction method is: replace the vortex temperature vertical structure, vortex density vertical structure and vortex salinity vertical structure at the 1st to mth vertical grid points with the corresponding temperature correction vertical structure, salinity correction vertical structure and density correction vertical structure respectively.

[0024] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the method for reconstructing the three-dimensional temperature, salinity and density of ocean vortices based on physical constraints is implemented.

[0025] Beneficial effects: Compared with the existing technology, the advantages of the present invention are that it only requires observed sea surface height, temperature, and salinity data, combined with historical data, to quickly realize vortex feature identification and high-precision 3D temperature-salinity density reconstruction of vortices, which has the following specific effects:

[0026] (1) Improve reconstruction accuracy: Based on the vertical modal structure of the vortex and physical constraints, the vertical density distribution is constructed, and the temperature and salinity distribution is further calculated. At the same time, combined with the sea surface temperature and salinity data, a high-precision reconstruction of the vortex three-dimensional structure is achieved.

[0027] (2) Enhanced spatiotemporal coverage: By integrating climate data and satellite sea surface remote sensing observation data, the model's adaptability to large-scale and long-term eddy processes is greatly improved.

[0028] (3) Reduce research costs: Compared with traditional methods that rely on on-site measurements, this invention uses satellite sea surface observations and climate data resources to reduce the time and economic costs of on-site sampling, providing an efficient and practical solution.

[0029] (4) Broad application prospects: This method not only helps to deeply understand the internal structure of vortices and their dynamic mechanisms, but can also be applied to many fields such as ocean forecasting, ecological protection, and resource development. It has important scientific value and practical significance. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a flow chart of the vortex three-dimensional temperature, salinity and density reconstruction method of the present invention.

[0031] Figure 2 Schematic diagram of sea level anomaly and identified vortex boundaries and vortex internal grid points in an embodiment of the present invention.

[0032] Figure 3 Schematic diagram of the reconstruction results and comparison of the vortex three-dimensional temperature, salt density and the embodiment of the present invention. DETAILED DESCRIPTION

[0033] The technical core of the present invention includes the following three aspects: (1) Multi-source data fusion: Comprehensively utilize climate data and sea surface observation data, and combine information from multiple observation methods to provide comprehensive input data for the model; (2) Vertical mode construction based on physical constraints: By analyzing the vertical mode structure of the vortex and introducing sea surface and deep pressure anomalies as constraints, the modal coefficients are determined and the vertical distribution of density is accurately characterized; (3) Three-dimensional temperature, salinity and density reconstruction of the vortex: Based on the density structure, the temperature and salinity distribution of the vortex is further calculated, and the reconstruction results are corrected in combination with the observed sea surface temperature and salinity, and finally a complete three-dimensional temperature, salinity and density model is generated, which provides technical support for the comprehensive understanding of the internal structure of the vortex and the study of its dynamic evolution.

[0034] The present invention fully combines physical constraints with multi-source data to provide an innovative solution for accurately reconstructing the three-dimensional structure of a vortex. The technical solution of the present invention is further described below with reference to the accompanying drawings. Figure 1 As shown, the method for reconstructing three-dimensional temperature, salinity and density of ocean vortices based on physical constraints includes the following steps.

[0035] Step 1: Data collection and preprocessing.

[0036] Step 1.1: Collect climatological data. The required climatological data include sea surface height, surface and subsurface temperature, salinity, and density. These data can be extracted from existing climatological databases (such as WOA, ARMOR3D, and AVISO data), or obtained by calculating the monthly (or annual) average from other reanalysis data.

[0037] Step 1.2: Collect sea surface observation data. In this embodiment, the sea surface temperature and salinity are obtained from the ARMOR3D database, and the sea surface height data is obtained from AVISO. The sea surface height anomaly caused by the vortex is the observed sea surface height minus the climatological sea surface height.

[0038] Step 2: Identify vortex features.

[0039] Step 2.1, vortex center identification. For the sea surface height anomaly data with an AVISO spatial resolution of 1 / 4º × 1 / 4º, a 5 × 5 grid point window is scanned to find the extreme point. The maximum point is the potential center of the anticyclonic vortex, and the minimum point is the potential center of the cyclonic vortex.

[0040] Step 2.2, vortex boundary identification, takes the sea surface height anomaly at the vortex center as the starting value, and gradually increases (cyclonic vortex) or decreases (anticyclonic vortex) the value of the sea surface height anomaly outward (the change step can be 0.001 meters) until the outermost contour line only contains the unique vortex center. At this time, the contour line is the vortex boundary.

[0041] Step 3: Calculation of vortex vertical mode.

[0042] Step 3.1, Construction of vertical modes: vortex vertical modes Satisfies the characteristic equation:

[0043] (1)

[0044] in is the eigenvalue, is the Coriolis parameter, is the buoyancy frequency, which is calculated from the climatological seawater temperature and salinity. Solving formula (1) can obtain a series of vertical mode functions .

[0045] Step 3.2, modal function extraction: Select the first two vertical modal functions to describe the vertical structural characteristics of the vortex. The vertical pressure anomaly structure of the vortex can be expressed as:

[0046] (2)

[0047] in, and are the first two modal functions, 、 are the modal coefficients to be determined.

[0048] Step 4: Determine the vortex vertical modal coefficient.

[0049] Step 4.1, Sea surface pressure anomaly condition: Using the vortex sea surface pressure anomaly data, substitute into formula (2) to obtain the equation:

[0050] (3)

[0051] Step 4.2, deep pressure anomaly condition: This example assumes that the vortex influence depth is 2000 meters, that is, the vortex pressure anomaly at this depth is zero, then the equation

[0052] (4)

[0053] The impact depth of vortices in different sea areas and seasons can be given more accurately by historical observation data.

[0054] Step 4.3, modal coefficient calculation: Solve the linear equations (3) and (4) to obtain the modal coefficients 、 .

[0055] Step 5: Reconstruct the vortex three-dimensional temperature-salinity density.

[0056] Step 5.1, reconstruction of vortex density vertical structure: use formula (2) and obtain the modal coefficients 、 The abnormal structure of vortex vertical pressure can be obtained , and then calculate the vertical structure of vortex density anomaly:

[0057] (5)

[0058] in is the reference density, is the acceleration due to gravity.

[0059] Step 5.2, density vertical structure reconstruction: vortex density vertical structure Superimposed climate state density vertical structure Obtain the vertical structure of vortex density :

[0060] (6)

[0061] Step 5.3, temperature and salinity vertical structure reconstruction: using and Coordinate relationship and vertical structure of climatological temperature and vertical structure of climatological salinity , calculate the temperature of vertical structure and vertical structure of salinity .

[0062] First establish and Coordinate mapping relationship , that is, if the vertical grid point coordinates of the data are , use the interpolation method to determine each grid point Density exist The vertical coordinate on ,

[0063] (7)

[0064] Thus, the original grid point coordinates are obtained .

[0065] Using the above coordinate mapping relationship , and the determined vertical grid point coordinates , vertical structure of climatic temperature Interpolate to superior:

[0066] (8)

[0067] Then by the coordinate mapping relationship Inverse mapping , that is, the vertical grid points Temperature vertical structure :

[0068] (9)

[0069] Similarly, the vertical structure of climatological salinity Interpolate to superior:

[0070] (10)

[0071] Then inverse mapping by coordinate mapping relationship , that is, the vertical grid points Vertical structure of salinity on :

[0072] (11)

[0073] Step 5.4: Correction of vertical structure of temperature, salinity, and density. Use the observed temperature and salinity data of the sea surface to correct the reconstructed temperature, salinity, and density structure within the mixed layer.

[0074] First, the temperature threshold method is used to analyze the vertical structure of climatological temperature. , extracting the mixed layer depth as a threshold value below the sea surface temperature (such as 0.8°C), that is:

[0075] (12)

[0076] According to the characteristics of vertical grid points, select The last one is less than of is the depth of the mixed layer.

[0077] The temperature vertical structure is corrected using the following formula:

[0078] (13)

[0079] Temperature observed from the sea surface and the reconstructed temperature at the bottom of the mixed layer Linear interpolation calculation

[0080] (14)

[0081] The vertical structure of salinity is corrected using the following formula:

[0082] (15)

[0083] Salinity observed from the sea surface and reconstructed salinity at the bottom of the mixed layer Linear interpolation calculation

[0084] (16)

[0085] The vertical density structure is corrected using the following formula:

[0086] (17)

[0087] Observed density at sea surface and the reconstruction density at the bottom of the mixed layer Linear interpolation calculation yields:

[0088] (18)

[0089] The sea surface observation density Temperature observed from the sea surface Observed sea surface salinity Calculated using the seawater equation of state.

[0090] The final corrected temperature ,salinity ,density vertical structure, .

[0091] Step 5.5, repeat steps 3.1 to 5.4 for each grid point in the identified vortex area to obtain the three-dimensional temperature, salt and density structure of the entire vortex area.

[0092] The method of the present invention is verified by specific experiments below.

[0093] In this experiment, for the sea surface height anomaly data with an AVISO spatial resolution of 1 / 4º×1 / 4º, a 5×5 grid point window is used to scan and find the extreme points. The maximum point is the potential center of the anticyclonic vortex, and the minimum point is the potential center of the cyclonic vortex. Taking the sea surface height anomaly at the vortex center as the starting value, the sea surface height anomaly value is gradually increased (cyclonic vortex) or decreased (anticyclonic vortex) outward (the change step is 0.001 meters) until the outermost contour line contains only the single vortex center. At this time, the contour line is the vortex boundary. Figure 2 Shown are the sea surface height anomalies and the identified eddy boundaries in the sea area.

[0094] The grid points in the vortex are numbered, and the vertical temperature-salinity-density structure at each grid point is reconstructed, and finally the three-dimensional temperature-salinity-density structure of the entire vortex is obtained. Figure 3 The figure shows the schematic diagram of the reconstruction results of the three-dimensional temperature, salinity and density of the vortex in this experiment (across the 21-28 grid points), where (a) is the density anomaly field of the reconstruction results; (b) is the salinity anomaly field of the reconstruction results; (c) is the temperature anomaly field of the reconstruction results; (d) is the density anomaly field of the ARMOR3D data; (e) is the salinity anomaly field of the ARMOR3D data; and (f) is the temperature anomaly field of the ARMOR3D data. Comparing the image of the experimental results with the image of the ARMOR3D data, the vertical structure of the density, salinity and temperature anomalies in this experiment is basically consistent with the ARMOR3D data in terms of spatial form and magnitude. The present invention can more accurately reconstruct the three-dimensional density, salinity and temperature structure of the vortex. The ocean vortex three-dimensional temperature, salinity and density reconstruction system based on physical constraints described in the present invention includes:

[0095] A vortex region identification unit is used to collect climatic data and sea surface observation data to identify vortex regions; the climatic data is historical sea surface height, temperature and salinity, and the sea surface observation data is real-time observed temperature, salinity and density;

[0096] The temperature-salinity-density reconstruction unit is used to calculate the vortex vertical pressure anomaly structure for each grid point in the vortex area, and calculate the vortex density vertical structure based on the vortex vertical pressure anomaly structure and the climatic density vertical structure; using the coordinate mapping of the vortex density vertical structure and the climatic density vertical structure, the climatic temperature vertical structure and the climatic salinity vertical structure are interpolated to obtain the vortex temperature vertical structure and the vortex salinity vertical structure;

[0097] a temperature, salinity, and density reconstruction correction unit, configured to linearly interpolate the sea surface observation data with the reconstructed data of the mixed layer bottom to obtain a temperature correction vertical structure, a salinity correction vertical structure, and a density correction vertical structure, respectively; and to correct the eddy temperature vertical structure, the eddy density vertical structure, and the eddy salinity vertical structure using the temperature correction vertical structure, the salinity correction vertical structure, and the density correction vertical structure to obtain a corrected temperature vertical structure, a density vertical structure, and a salinity vertical structure;

[0098] The reconstructed data of the bottom of the mixed layer is: the depth of the mixed layer is selected according to the temperature threshold , is the mth vertical grid point in the vortex area, m∈1~N; the correction method is: replace the vortex temperature vertical structure, vortex density vertical structure and vortex salinity vertical structure at the 1st to mth vertical grid points with the corresponding temperature correction vertical structure, salinity correction vertical structure and density correction vertical structure respectively.

[0099] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the method for reconstructing the three-dimensional temperature, salinity and density of ocean vortices based on physical constraints is implemented.

[0100] The computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, flash memory, or any other medium that can be used to store program code in the form of instructions or data structures and that can be accessed by a computer.

[0101] The processor is configured to execute the computer program stored in the memory to implement the various steps in the method involved in the above embodiment.

Claims

1. A method for reconstructing three-dimensional temperature, salinity and density of ocean eddies based on physical constraints, characterized by: The steps include: (1) Collecting climatological data and sea surface observation data to identify vortex areas; the climatological data are historical sea surface height, temperature, salinity and density, and the sea surface observation data are real-time observed sea surface height, temperature, salinity and density; (2) For each grid point in the vortex region, the vortex vertical pressure anomaly structure is calculated, and the vortex density vertical structure is calculated based on the vortex vertical pressure anomaly structure and the climatological density vertical structure; using the coordinate mapping of the vortex density vertical structure and the climatological density vertical structure, the climatological temperature vertical structure and the climatological salinity vertical structure are interpolated to obtain the vortex temperature vertical structure and the vortex salinity vertical structure; (3) Linearly interpolating the sea surface observation data with the reconstructed data of the mixed layer bottom to obtain the temperature correction vertical structure, salinity correction vertical structure, and density correction vertical structure, respectively; using the temperature correction vertical structure, salinity correction vertical structure, and density correction vertical structure to correct the eddy temperature vertical structure, eddy density vertical structure, and eddy salinity vertical structure, to obtain the corrected temperature vertical structure, density vertical structure, and salinity vertical structure; The reconstructed data of the bottom of the mixed layer is: the depth of the mixed layer is selected according to the temperature threshold , is the mth vertical grid point in the vortex area, m∈1~N; the correction method is: replace the vortex temperature vertical structure, vortex density vertical structure and vortex salinity vertical structure at the 1st to mth vertical grid points with the corresponding temperature correction vertical structure, salinity correction vertical structure and density correction vertical structure respectively.

2. The method for reconstructing ocean vortex three-dimensional temperature, salinity and density based on physical constraints according to claim 1 is characterized in that: In step (2), the vortex vertical pressure abnormal structure is , where the first two solutions are obtained by solving the characteristic equation of the vortex vertical mode and , 、 is the modal coefficient.

3. The method for reconstructing ocean vortex three-dimensional temperature, salinity and density based on physical constraints according to claim 2 is characterized in that: Will and The pressure data at 1000 s is substituted into the vortex vertical pressure anomaly structure, and the simultaneous equations are solved to obtain and ;in, Time By observing the anomaly of sea surface pressure, hour is 0, is the vortex influence depth.

4. The method for reconstructing ocean vortex three-dimensional temperature, salinity and density based on physical constraints according to claim 1 is characterized in that: In step (2), the vertical structure of vortex density ,in is the reference density, is the acceleration due to gravity, is the Coriolis parameter, is the sea level, It is the abnormal structure of vortex vertical pressure.

5. The method for reconstructing ocean vortex three-dimensional temperature, salinity and density based on physical constraints according to claim 1 is characterized in that: In step (2), the vertical structure of vortex density Superimposed climate state density vertical structure Obtain the vertical structure of vortex density , .

6. The method for reconstructing ocean vortex three-dimensional temperature, salinity and density based on physical constraints according to claim 1 is characterized in that: In step (2), the coordinate mapping of the vortex density vertical structure and the climatic density vertical structure is used to interpolate the climatic temperature vertical structure and the climatic salinity vertical structure to obtain the vortex temperature vertical structure and the vortex salinity vertical structure, which includes the following steps: Establishing the vertical structure of vortex density Vertical structure of climate state density Coordinate mapping relationship , establish coordinate mapping relationship The method is: at the vertical grid points in the vortex area On the grid, the interpolation method is used to determine the value of each grid point Density exist The vertical coordinate on , ; Interpolate the climatological temperature vertical structure to Then, according to the coordinate mapping relationship Perform inverse mapping to obtain the vertical structure of vortex temperature on the vertical grid points in the vortex area; Interpolate the vertical structure of climatological salinity to Then, according to the coordinate mapping relationship Perform inverse mapping to obtain the vertical structure of eddy salinity on the vertical grid points in the eddy area.

7. The method for reconstructing ocean vortex three-dimensional temperature, salinity and density based on physical constraints according to claim 1 is characterized in that: In step (3), the depth of the mixed layer is selected according to the temperature threshold. The method is: the extraction temperature is lower than the sea surface temperature by a certain threshold Depth , at the vertical grid point in the vortex region Select the last one less than The grid points are .

8. A three-dimensional ocean eddy temperature, salinity and density reconstruction system based on physical constraints, characterized by: include: A vortex region identification unit is used to collect climatic data and sea surface observation data to identify vortex regions; the climatic data is historical sea surface height, temperature, salinity and density, and the sea surface observation data is real-time observed sea surface height, temperature, salinity and density; The temperature-salinity-density reconstruction unit is used to calculate the vortex vertical pressure anomaly structure for each grid point in the vortex area, and calculate the vortex density vertical structure based on the vortex vertical pressure anomaly structure and the climatic density vertical structure; using the coordinate mapping of the vortex density vertical structure and the climatic density vertical structure, the climatic temperature vertical structure and the climatic salinity vertical structure are interpolated to obtain the vortex temperature vertical structure and the vortex salinity vertical structure; a temperature, salinity, and density reconstruction correction unit, configured to linearly interpolate the sea surface observation data with the reconstructed data of the mixed layer bottom to obtain a temperature correction vertical structure, a salinity correction vertical structure, and a density correction vertical structure, respectively; and to correct the eddy temperature vertical structure, the eddy density vertical structure, and the eddy salinity vertical structure using the temperature correction vertical structure, the salinity correction vertical structure, and the density correction vertical structure to obtain a corrected temperature vertical structure, a density vertical structure, and a salinity vertical structure; The reconstructed data of the bottom of the mixed layer is: the depth of the mixed layer is selected according to the temperature threshold , is the mth vertical grid point in the vortex area, m∈1~N; the correction method is: replace the vortex temperature vertical structure, vortex density vertical structure and vortex salinity vertical structure at the 1st to mth vertical grid points with the corresponding temperature correction vertical structure, salinity correction vertical structure and density correction vertical structure respectively.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the computer program is loaded into a processor, the method for reconstructing three-dimensional temperature, salinity and density of ocean eddies based on physical constraints is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for reconstructing three-dimensional temperature, salinity and density of ocean eddies based on physical constraints is implemented.

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