A multi-source guided air flow estimation method, device, equipment, medium and product

Abstract

The present application discloses a multi-source guided airflow estimation method, device, equipment, medium and product, which relates to the fields of marine remote sensing monitoring technology and typhoon forecasting technology. The method includes reconstructing the first sea surface wind vector of SAR monitoring data to obtain a second sea surface wind vector, using the SAR image to invert the sea surface wind field to obtain the true value of the sea surface wind field, and then obtaining a third sea surface wind vector. After estimating the symmetric rotating wind vector using an algorithm, the third sea surface wind vector is synchronously fitted with the sea surface wind field inverted from the SAR image to estimate the second stable guided airflow; the second stable guided airflow is removed from the third sea surface wind vector to obtain the remaining third sea surface wind vector; the remaining third sea surface wind vector is fitted with the sea surface wind field inverted from the SAR image to estimate the second instantaneous guided airflow. The entire wind field information can be obtained through monitoring data and image information, realizing the estimation of the turning flow, and thus facilitating the real-time typhoon forecasting work.

Description

Technical Field

[0001] This application relates to the fields of ocean remote sensing monitoring technology and typhoon forecasting technology, and particularly relates to a multi-source guiding airflow estimation method, device, equipment, medium and product. Background Art

[0002] The monitoring of the position and path of typhoons is the basis of typhoon research and is of great significance for typhoon forecasting and disaster prevention and mitigation work. Remote sensing observations have high frequencies, wide spatio-temporal ranges and good real-time performance, and are one of the powerful means for typhoon path monitoring. Compared with passive remote sensing mainly in visible and infrared bands, microwave remote sensing can observe all day and all weather, and is less affected by atmospheric windows. In microwave remote sensing technology, synthetic aperture radar (SAR) has high resolution, can accurately retrieve the surface wind field information of typhoons, and can solve the problem of wind speed saturation through different polarization methods. Therefore, it is of great significance in the field of typhoon monitoring and forecasting. In recent years, more and more SAR satellites have provided many high-resolution images for tropical cyclone (TC) research, but there are still two problems: First, SAR usually only covers a part of a given tropical cyclone. Even using improved retrieval methods, it is difficult to obtain the entire wind field, which is required for storm surge or surface wave modeling; Second, high-resolution SAR-wind images show that tropical cyclones are not the symmetric vortex structures assumed in early studies. The movement of tropical cyclones is an important factor causing asymmetric ground winds. The steering flow is based on the ideal assumption of a rotating cylindrical tropical cyclone vortex and a unified steering flow around the vortex, which can explain many tropical cyclone movement characteristics and is widely used in tropical cyclone research. However, the steering flow, as a key physical feature of TC movement, has not been well monitored. Summary of the Invention

[0003] The purpose of this application is to provide a multi-source guiding airflow estimation method, device, equipment, medium and product to solve the problems that SAR is difficult to obtain the entire wind field information and the steering flow.

[0004] To achieve the above purpose, this application provides the following solutions:

[0005] In the first aspect, this application provides a multi-source guiding airflow estimation method, including:

[0006] Reconstruct the first sea surface wind vector of the monitoring data to obtain a second sea surface wind vector, where the second sea surface wind vector includes a circular symmetric wind vector, a first stable guiding airflow and a first instantaneous guiding airflow; the monitoring data includes longitude and latitude data, measurement time data, wind speed value data and wind direction data.

[0007] Based on the second sea surface wind vector, the sea surface wind field is retrieved from the SAR image to obtain the true value of the sea surface wind field.

[0008] Based on the true value of the sea surface wind field, the typhoon center and the circular symmetric wind vector field of the sea surface wind field retrieved from the SAR image are estimated using a threshold method.

[0009] Based on the circular symmetric wind vector field and the first stable guiding airflow, the sea surface wind vector is reconstructed to obtain the third sea surface wind vector. Multiple consecutive third sea surface wind vectors are synchronously fitted with the sea surface wind field retrieved from the SAR image to determine the second stable guiding airflow.

[0010] The second stable guiding airflow is removed from the third sea surface wind vector to obtain the remaining third sea surface wind vector; the remaining third sea surface wind vector is fitted with the sea surface wind field retrieved from the SAR image to determine the second instantaneous guiding airflow; the multi-source guiding airflow includes the second stable guiding airflow and the second instantaneous guiding airflow.

[0011] In a second aspect, the present application provides a multi-source guiding airflow estimation device, including:

[0012] A second sea surface wind vector determination module that reconstructs the first sea surface wind vector of the monitoring data to obtain a second sea surface wind vector, where the second sea surface wind vector includes a circular symmetric wind vector, a first stable guiding airflow, and a first instantaneous guiding airflow; the monitoring data includes longitude and latitude data, measurement time data, wind speed value data, and wind direction data.

[0013] A sea surface wind field true value determination module that, based on the second sea surface wind vector, retrieves the sea surface wind field from the SAR image to obtain the true value of the sea surface wind field.

[0014] A symmetric wind vector field acquisition module that, based on the true value of the sea surface wind field, estimates the typhoon center and the circular symmetric wind vector field of the sea surface wind field retrieved from the SAR image using a threshold method.

[0015] A second stable guiding airflow determination module that, based on the circular symmetric wind vector field and the first stable guiding airflow, reconstructs the sea surface wind vector to obtain a third sea surface wind vector, and synchronously fits multiple consecutive third sea surface wind vectors with the sea surface wind field retrieved from the SAR image to determine the second stable guiding airflow.

[0016] A remaining third sea surface wind vector and second instantaneous guiding airflow determination module that removes the second stable guiding airflow from the third sea surface wind vector to obtain the remaining third sea surface wind vector; fits the remaining third sea surface wind vector with the sea surface wind field retrieved from the SAR image to determine the second instantaneous guiding airflow; the multi-source guiding airflow includes the second stable guiding airflow and the second instantaneous guiding airflow.

[0017] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the multi-source induced airflow estimation method described in any one of the above.

[0018] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the multi-source induced airflow estimation method described in any one of the above are implemented.

[0019] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the multi-source induced airflow estimation method described in any one of the above are implemented.

[0020] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0021] The present application provides a multi-source guided airflow estimation method, apparatus, device, medium and product. By reconstructing the first sea surface wind vector of the monitoring data, a second sea surface wind vector is obtained. The second sea surface wind vector after reconstruction improves the accuracy and reliability based on continuous SAR observations, providing more accurate data support for the research of the present application. Based on the second sea surface wind vector, the sea surface wind field is inverted using the SAR image to obtain the true value of the sea surface wind field, and relatively accurate wind field information can be obtained. Based on the true value of the sea surface wind field of the sea breeze, the typhoon center and the circular symmetric wind vector field of the sea surface wind field inverted by the SAR image are estimated using the threshold method. In the analysis of the typhoon sea surface wind field, specific regions or features can be extracted according to the thresholds of wind speed, wind direction or other relevant parameters. Based on the circular symmetric wind vector field and the first stable guided airflow, the sea surface wind vector is reconstructed to obtain a third sea surface wind vector. The third sea surface wind vector field integrates multiple data sources and information, and can more truly reflect the sea surface wind field situation. Synchronously fitting the third sea surface wind vector with the sea surface wind field inverted by the SAR image can verify and calibrate the accuracy of the third sea surface wind vector, reveal the potential connection between the two, and obtain the second stable guided airflow. Excluding the second stable guided airflow, the third sea surface wind vector and the sea surface wind field inverted by the SAR image are respectively fitted to determine the second instantaneous guided airflow at each SAR observation moment, which is helpful for the dynamic analysis and direction prediction of typhoons and the reconstruction of the sea surface wind in storm surge modeling. The SAR technology not only captures the circular symmetric wind vector field caused by typhoons, but also obtains the information of multi-source guided airflow through the methods of fitting and excluding different airflow components. These information together constitute a detailed picture of the entire wind field. The entire wind field information includes the position of the typhoon center, the wind field structure caused by the typhoon, the stable airflow direction, and the short-term airflow changes. Therefore, the entire wind field information can be obtained through the monitoring data and image information, realizing the estimation of the turning flow, and thus facilitating the real-time typhoon forecasting work. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the following described drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0023] Figure 1 It is a schematic flow chart provided by an embodiment of the present application.

[0024] Figure 2 It is a schematic working process diagram provided by an embodiment of the present application.

[0025] Figure 3Schematic diagram of the relationship between various angles and various vectors provided by the embodiments of the present application.

[0026] Figure 4 Schematic diagram of the structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0027] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0028] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0029] As Figure 1 shown, the embodiments of the present application provide a multi-source guided airflow estimation method, which specifically includes:

[0030] S1: Reconstruct the first sea surface wind vector of the monitoring data to obtain a second sea surface wind vector, where the second sea surface wind vector includes a circular symmetric wind vector, a first stable guided airflow, and a first instantaneous guided airflow; the monitoring data includes longitude and latitude data, measurement time data, wind speed value data, and wind direction data.

[0031] S2: Based on the second sea surface wind vector, use the SAR image to invert the sea surface wind field to obtain the true value of the sea surface wind field.

[0032] S3: Based on the true value of the sea surface wind field, use the threshold method to estimate the typhoon center and the circular symmetric wind vector field of the sea surface wind field inverted by the SAR image.

[0033] S4: Reconstruct the sea surface wind vector based on the circular symmetric wind vector field and the first stable guided airflow to obtain a third sea surface wind vector, and synchronously fit multiple consecutive third sea surface wind vectors with the sea surface wind field inverted by the SAR image to determine the second stable guided airflow.

[0034] S5: Remove the second stable guided airflow from the third sea surface wind vector to obtain the remaining third sea surface wind vector; fit the remaining third sea surface wind vector with the sea surface wind field inverted by the SAR image to determine the second instantaneous guided airflow; the multi-source guided airflow includes the second stable guided airflow and the second instantaneous guided airflow.

[0035] The present application discloses a method for estimating multi-source guiding airflows. The method includes the following steps: (1) Using the wind fields inverted from multiple consecutive SAR images as the true values of the sea surface wind fields; (2) Estimating the typhoon centers of each SAR typhoon sea surface wind field and the best-fitting circularly symmetric wind vector fields; (3) Synchronously fitting multiple circularly symmetric rotating wind vector fields with the SAR-inverted wind fields to estimate a unified stable guiding airflow; (4) Removing the stable guiding airflow, and respectively fitting the reconstructed sea surface wind vectors and the SAR-inverted wind fields to determine the instantaneous guiding airflow at each SAR observation moment. The present application can determine the unified stable guiding airflow during the movement of a typhoon and the instantaneous guiding airflows at multiple corresponding SAR moments, which is helpful for the dynamic analysis of typhoon movement, path forecasting, and sea surface wind reconstruction in storm surge simulation, and further facilitates the quasi-real-time forecasting of typhoons and their secondary disasters and emergency management work. A method for estimating multi-source guiding airflows disclosed in the present application is used for the dynamic analysis and quasi-real-time forecasting of typhoon movement.

[0036] Further, in an exemplary embodiment, step S1 can be replaced by the following steps.

[0037] S101: Using the formula to obtain the second sea surface wind vector;

[0038] where r is the distance from the typhoon center in the polar coordinate system; is the angle based on the typhoon center in the polar coordinate system; is the second sea surface wind vector of the continuous monitoring data in the i-th case, i = 1, 2, 3; is the circularly symmetric wind vector in the i-th case; is the first stable guiding airflow; is the first instantaneous guiding airflow in the i-th case.

[0039] Taking the data of three consecutive spaceborne SAR remote sensing monitors (within about 24 hours) as an example, the multi-source guiding airflow estimation method described in the present application reconstructs their high-resolution sea surface wind vectors into: three circularly symmetric rotating wind vectors, one stable guiding airflow, and three instantaneous guiding airflows.

[0040] Further, in an exemplary embodiment, step S2 can be replaced by the following steps.

[0041] S201: Using the SAR wind speed inversion algorithm, performing wind speed inversion through the echo model and data fitting technology, and inverting the sea surface wind field from the SAR image to obtain the true value of the sea surface wind field.

[0042] Inverting the sea surface wind field using multiple consecutive SAR images, that is, using the corresponding SAR wind speed inversion algorithm C-3PO (i.e., using the relationship between cross-polarized radar signals and wind speed, and realizing the inversion of wind speed through echo models and data fitting techniques), and taking the wind field inverted from multiple consecutive SAR images as the true value of the sea surface wind field.

[0043] Further, in an exemplary embodiment, step S3 can be replaced by the following steps.

[0044] S301: Based on the SHEW model and the improved Rankine vortex function, using the least squares method to fit with the sea surface wind field inverted from the SAR image, estimating the typhoon center, maximum wind speed, maximum wind speed radius and circular symmetric wind vector field of the sea surface wind field inverted from the SAR image.

[0045] Using the threshold method, estimating the typhoon center of each synthetic aperture radar (SAR) typhoon sea surface wind field and the circular symmetric wind vector field with the best fit.

[0046] Further, in an exemplary embodiment, step S4 can be replaced by the following steps.

[0047] S401: Set the first instantaneous guiding airflow to zero, and using the circular symmetric rotating wind vector and the least squares method, fit the second sea surface wind vector with the sea surface wind field inverted from the SAR image to obtain the third sea surface wind vector.

[0048] S402: Calculate the difference between the third sea surface wind vector and the circular symmetric wind vector, and estimate the second steady guiding airflow.

[0049] S403: Based on the difference between the third sea surface wind vector and the circular symmetric wind vector, substitute the typhoon center, maximum wind speed and maximum wind speed radius of the sea surface wind field inverted from the SAR image into the modified inflow angle model and the relationship between each angle and each vector to generate the parameter substitution result, and estimate the magnitude of the second steady guiding airflow.

[0050] S404: Simulate the wind direction according to the parameter substitution result to determine the direction of the second steady guiding airflow; the modified inflow angle model is the normalized wind speed radius r* = r / rm(θ); where r is the distance from any point to the typhoon center; rm(θ) is the maximum wind speed radius, which is a function of θ, and θ is the angle based on the typhoon center in the polar coordinate system.

[0051] Reconstruct the sea surface wind vector using the estimated multiple circular symmetric rotating wind vector fields and a unified steady guiding airflow, synchronously fit the multiple consecutive reconstructed sea surface wind vectors with the SAR-inverted wind field, and estimate a unified steady guiding airflow.

[0052] Set the instantaneous guided airflow to zero ( ), using the circularly symmetric rotating wind vector obtained in step S401 and the least squares method, the three reconstructed wind fields are (i=1, 2, 3) and the sea surface wind field inverted by SAR are fitted at the same time, and the difference between the two is used to estimate the size of the stable guiding airflow Vg; based on the parameters estimated in step S401 (typhoon center, maximum wind speed and maximum wind speed radius), the corrected inflow angle model (normalized wind speed radius r*=r / rm(θ), where r is the distance, rm(θ) is the maximum wind speed radius, which is a function of θ) and the relationship between each angle and each vector are substituted to simulate the wind direction and estimate the unified stable guiding airflow .

[0053] The relationship between each angle and each vector, such as Figure 3 As shown; ( ) are the distances from any point in the polar coordinate system to the typhoon center, based on the angle of the typhoon center; (U, U M , V b ) are respectively the reconstructed sea surface wind vector, the symmetrically rotated wind vector, and the estimated unified stable guiding airflow mentioned in this application; U and V respectively b The angle between U and U M The angle between them is the inflow angle, V b Angle based on due east.

[0054] Further, in an exemplary embodiment, step S5 may be replaced by the following steps.

[0055] S501: Eliminate the second stable guiding airflow from the third sea surface wind vector by using a vector method to obtain a remaining third sea surface wind vector.

[0056] S502: Based on the least squares method, the remaining third sea surface wind vector is fitted with the true value of the sea surface wind field obtained by inverting the sea surface wind field using the SAR image to estimate the second instantaneous guided airflow.

[0057] The estimated unified stable guiding airflow is eliminated, and the reconstructed sea surface wind vector is fitted with the SAR inversion wind field respectively to estimate the instantaneous guiding airflow at each SAR observation moment.

[0058] The threshold method is used to estimate the typhoon center of each synthetic aperture radar SAR typhoon sea surface wind field and the circularly symmetrical wind vector field with the best fit, and the sea surface wind vector is reconstructed using the estimated multiple circularly symmetrical rotating wind vector fields and a unified stable guiding airflow. Multiple continuously reconstructed sea surface wind vectors are synchronously fitted with the SAR inversion wind field to estimate a unified stable guiding airflow. The determined circularly symmetrical rotating wind vector and the unified stable guiding airflow are combined. The instantaneous guiding airflow corresponding to each SAR Substitute the reconstructed sea surface wind vector field into the model. Using the least squares method, fit the reconstructed sea surface wind vector field with the wind field retrieved by SAR, which is used as the sea surface truth obtained by retrieving the sea surface wind field using multiple consecutive SAR images, respectively. The difference between the two estimates the instantaneous guiding airflow observed by each SAR .

[0059] Typhoon Saola (2023) showed a "loop" trajectory from August 25th to August 28th. Generally, there are two summer monsoon systems affecting the low vortex movement there in August: 1) the western North Pacific summer monsoon and 2) the Indian summer monsoon. Without the presence of a new steering flow, a loop cannot form. Therefore, the guiding airflow around the circulation of Typhoon Saola (2023) is much more complex than that of the summer monsoon

[0060] Through the method provided in this application, for the continuous observation process of the sea surface wind field by SAR satellites, as Figure 2 shown, by removing the unified stable guiding airflow determined from three consecutive cases, the instantaneous guiding airflow on the sea surface wind field retrieved by each SAR can be determined and represented by black arrows. In the first case, as Figure 2 (a1) shows, the black arrow represents the southwest summer monsoon as the guiding flow. In the second case, as Figure 2 (a2) shows, the black arrow represents the steering flow that drives the vortex southwest, thus initiating the loop. In the third case, as Figure 2 (a3) shows, the instantaneous guiding airflow in the northeast direction indicated by the black arrow meets the southeast summer monsoon, which may be a factor leading to the southward movement of Typhoon Saola (2023). As Figure 2 (b1), (b2), and (b3) show, respectively, the simplified schematic diagrams of the influence of the background wind vector on the typhoon in these three cases. Then, the southwest summer monsoon and the westward guiding airflow indicated by the black arrow push the vortex northeastward. The black-direction flow meets the southwest summer monsoon, blocking the path of the vortex moving eastward. Finally, the black guiding airflow is the southeast summer monsoon, and the loop is completed

[0061] In summary: The circulation trajectory is in two summer monsoon systems, and the determined unified stable guiding airflow is consistent with the two summer monsoon systems there respectively. As expected, using the unified stable guiding airflow ( in the formula) to detect the summer monsoon, at least one northward (either from the northeast or northwest) instantaneous guiding airflow ( in the formula) around the circulation area is determined by eliminating the monsoon influence

[0062] Using the real-time continuous observation of SAR inversion wind field map, the high-resolution sea surface wind vectors inverted by three continuous SAR remote sensing are reconstructed into: three circularly symmetrical rotating wind vectors, one stable guiding airflow and three instantaneous guiding airflows. The instantaneous guiding airflow can explain the asymmetric wind structure of most tropical cyclones (typhoons or hurricanes) that have not been studied much. The stable guiding airflow (in the formula of the second part) can be used to explain the asymmetric wind structure of most tropical cyclones (typhoons or hurricanes) that have not been studied much. ) to detect the summer wind, eliminating the monsoon effect and determining possible other steering air currents (in the formula ) becomes possible, thereby effectively explaining the possible "ring" path of a typhoon, facilitating the dynamic analysis and direction prediction of a typhoon and the reconstruction of sea surface winds in storm surge modeling, thereby facilitating the quasi-real-time forecast of typhoons or hurricanes.

[0063] The embodiment of the present application provides a multi-source guided airflow estimation device, which specifically includes:

[0064] The second sea surface wind vector determination module reconstructs the first sea surface wind vector of the monitoring data to obtain the second sea surface wind vector, wherein the second sea surface wind vector includes a circularly symmetrical wind vector, a first stable guiding airflow and a first instantaneous guiding airflow; the monitoring data includes longitude and latitude data, measurement time data, wind speed value data and wind direction data.

[0065] The sea surface wind field true value determination module inverts the sea surface wind field using the SAR image based on the second sea surface wind vector to obtain the true value of the sea surface wind field.

[0066] The symmetric wind vector field acquisition module estimates the typhoon center and circular symmetric wind vector field of the sea surface wind field inverted from the SAR image based on the true value of the sea surface wind field using a threshold method.

[0067] The second stable guiding airflow determination module reconstructs the sea surface wind vector based on the circularly symmetrical wind vector field and the first stable guiding airflow to obtain a third sea surface wind vector, synchronously fits multiple consecutive third sea surface wind vectors with the SAR image inversion sea surface wind field, and estimates the second stable guiding airflow.

[0068] The remaining third sea surface wind vector and the second instantaneous guiding airflow determination module removes the second stable guiding airflow from the third sea surface wind vector to obtain the remaining third sea surface wind vector; fits the remaining third sea surface wind vector with the SAR image inversion sea surface wind field to determine the second instantaneous guiding airflow; the multi-source guided airflow includes the second stable guiding airflow and the second instantaneous guiding airflow.

[0069] The embodiment of the present application provides a computer device, which may be a server or a terminal, and its internal structure diagram may be as follows: Figure 4As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store video tag processing data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. The computer program, when executed by the processor, implements a video tag processing method.

[0070] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the multi-source guided air flow estimation method described in any one of the above.

[0071] An embodiment of the present application provides a computer program product, including a computer program, characterized in that the computer program, when executed by a processor, implements the multi-source guided air flow estimation method described in any one of the above.

[0072] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0073] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A multi-source guided airflow estimation method, characterized in that: The multi-source guided airflow estimation method comprises: Reconstructing the first sea surface wind vector of the monitoring data to obtain a second sea surface wind vector, wherein the second sea surface wind vector includes a circular symmetric wind vector, a first stable guiding airflow, and a first instantaneous guiding airflow; the monitoring data includes latitude and longitude data, measurement time data, wind speed value data, and wind direction data; Based on the second sea surface wind vector, invert the sea surface wind field using the SAR image to obtain the true value of the sea surface wind field; Based on the true value of the sea surface wind field, the typhoon center and the circularly symmetric wind vector field of the sea surface wind field inverted from the SAR image are estimated using a threshold method; Reconstructing a sea surface wind vector based on the circularly symmetrical wind vector field and the first stable guiding airflow to obtain a third sea surface wind vector, synchronously fitting a plurality of continuous third sea surface wind vectors with the SAR image inverted sea surface wind field to determine a second stable guiding airflow; The second stable guiding airflow is eliminated from the third sea surface wind vector to obtain the remaining third sea surface wind vector; the remaining third sea surface wind vector is fitted with the SAR image inversion sea surface wind field to determine the second instantaneous guiding airflow; the multi-source guided airflow includes the second stable guiding airflow and the second instantaneous guiding airflow.

2. The multi-source guided airflow estimation method according to claim 1, characterized in that: The reconstructing the first sea surface wind vector of the monitoring data to obtain the second sea surface wind vector specifically includes: Using the formula Get the second sea surface wind vector; Where r is the distance from the typhoon center in the polar coordinate system; is the angle based on the typhoon center in the polar coordinate system; is the second sea surface wind vector of the continuous monitoring data in the i-th case, i=1, 2, 3; is the circularly symmetric wind vector in the ith case; To guide the airflow for the first stability; is the first instantaneous guided airflow in the ith case.

3. The multi-source guided airflow estimation method according to claim 1, characterized in that: The inverting the sea surface wind field using the SAR image based on the second sea surface wind vector to obtain the true value of the sea surface wind field specifically includes: The SAR wind speed inversion algorithm is used to invert the wind speed through the echo model and data fitting technology, and the sea surface wind field is inverted from the SAR image to obtain the true value of the sea surface wind field.

4. The multi-source guided airflow estimation method according to claim 1, characterized in that: Based on the true value of the sea surface wind field, the typhoon center and circularly symmetrical wind vector field of the sea surface wind field inverted from the SAR image are estimated using a threshold method, specifically including: Based on the SHEW model and the improved Rankine eddy function, the least squares method is used to fit the inverted sea surface wind field in the SAR image to estimate the typhoon center, maximum wind speed, maximum wind speed radius and circularly symmetric wind vector field of the sea surface wind field inverted from the SAR image.

5. The multi-source guided airflow estimation method according to claim 1, characterized in that: Reconstructing a sea surface wind vector based on the circularly symmetric wind vector field and the first stable guiding airflow to obtain a third sea surface wind vector, synchronously fitting a plurality of continuous third sea surface wind vectors with the SAR image inverted sea surface wind field to determine a second stable guiding airflow specifically includes: The first instantaneous guided airflow is set to zero, and the second sea surface wind vector is fitted with the sea surface wind field inverted from the SAR image using the circularly symmetric wind vector and the least squares method to obtain a third sea surface wind vector; calculating a difference between the third sea surface wind vector and the circularly symmetric wind vector to estimate a second stable guiding airflow; Based on the difference between the third sea surface wind vector and the circularly symmetric wind vector, the typhoon center, maximum wind speed and maximum wind speed radius of the sea surface wind field inverted from the SAR image are substituted into the modified inflow angle model and the relationship between each angle and each vector, and a parameter substitution result is generated to estimate the size of the second stable guiding airflow; The wind direction is simulated according to the result of substituting the parameters to determine the direction of the second stable guided airflow; the modified inflow angle model is the normalized wind speed radius r*=r / rm(θ); wherein r is the distance from any point to the center of the typhoon; rm(θ) is the maximum wind speed radius, which is a function of θ, and θ is the angle based on the center of the typhoon in the polar coordinate system.

6. The multi-source guided airflow estimation method according to claim 5, characterized in that: Eliminating the second stable guiding airflow from the third sea surface wind vector to obtain a remaining third sea surface wind vector; fitting the remaining third sea surface wind vector with the SAR image inversion sea surface wind field to determine the second instantaneous guiding airflow, specifically comprising: Eliminating the second stable guiding airflow from the third sea surface wind vector by vector subtraction to obtain a remaining third sea surface wind vector; Based on the least squares method, the remaining third sea surface wind vector is fitted with the true value of the sea surface wind field obtained by inverting the sea surface wind field using the SAR image to estimate the second instantaneous guided airflow.

7. A multi-source guided airflow estimation device, characterized in that: The multi-source guided airflow estimation device comprises: a second sea surface wind vector determination module, which reconstructs the first sea surface wind vector of the monitoring data to obtain a second sea surface wind vector, wherein the second sea surface wind vector includes a circular symmetric wind vector, a first stable guiding airflow and a first instantaneous guiding airflow; the monitoring data includes latitude and longitude data, measurement time data, wind speed value data and wind direction data; A sea surface wind field true value determination module, based on the second sea surface wind vector, uses the SAR image to invert the sea surface wind field to obtain the true value of the sea surface wind field; A symmetric wind vector field acquisition module estimates the typhoon center and circular symmetric wind vector field of the sea surface wind field inverted from the SAR image based on the true value of the sea surface wind field using a threshold method; A second stable guiding airflow determination module is configured to reconstruct a sea surface wind vector based on the circularly symmetrical wind vector field and the first stable guiding airflow to obtain a third sea surface wind vector, and synchronously fit a plurality of consecutive third sea surface wind vectors with the SAR image inversion sea surface wind field to determine a second stable guiding airflow; The remaining third sea surface wind vector and the second instantaneous guiding airflow determination module removes the second stable guiding airflow from the third sea surface wind vector to obtain the remaining third sea surface wind vector; fits the remaining third sea surface wind vector with the SAR image inversion sea surface wind field to determine the second instantaneous guiding airflow; the multi-source guided airflow includes the second stable guiding airflow and the second instantaneous guiding airflow.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the multi-source guided airflow estimation method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the multi-source guided airflow estimation method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the multi-source guided airflow estimation method according to any one of claims 1 to 6 is implemented.

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