Multi-source guide airflow estimation method, device, equipment, medium and product

Abstract

The invention discloses a multi-source guide airflow estimation method, device and equipment, a medium and a product, and relates to the technical field of ocean remote sensing monitoring and typhoon forecasting, and the method comprises the steps: reconstructing a first sea surface wind vector of SAR monitoring data to obtain a second sea surface wind vector, carrying out the inversion of a sea surface wind field through an SAR image, and obtaining a true value of the sea surface wind field, then obtaining a third sea surface wind vector, estimating a symmetric rotating wind vector by using an algorithm, then synchronously fitting the third sea surface wind vector with the SAR image inversion sea surface wind field, and estimating a second stable guide airflow; removing the second stable guide airflow from the third sea surface wind vector to obtain a residual third sea surface wind vector; the rest third sea surface wind vector is fitted with the SAR image inversion sea surface wind field, the second instantaneous guide airflow is estimated, information of the whole wind field can be obtained through monitoring data and image information, steering flow estimation is achieved, and then typhoon forecasting work can be conducted in real time.

Description

Technical Field

[0001] The present application relates to the field of ocean remote sensing monitoring technology and typhoon forecasting technology, and in particular to a multi-source guided airflow estimation method, device, equipment, medium and product. Background Art

[0002] Monitoring the location and path of a typhoon is the basis of typhoon research and is of great significance to typhoon forecasting and disaster prevention and mitigation. Remote sensing observations have a high frequency, a wide temporal and spatial range, and good real-time performance, making it one of the powerful means of typhoon path monitoring. Compared with passive remote sensing, which is mainly based on visible light and infrared bands, microwave remote sensing can observe all day and all weather, and is less affected by the atmospheric window. Among microwave remote sensing technologies, synthetic aperture radar (SAR) has a high resolution, can accurately invert the surface wind field information of a typhoon, 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 covers only part of a given tropical cyclone, and even with 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 symmetrical vortex structures as assumed in early studies, and tropical cyclone motion is an important factor causing surface wind asymmetry. The turning flow is based on the ideal assumption of a rotating cylindrical tropical cyclone vortex and a uniform turning flow around the vortex, which can explain many tropical cyclone motion characteristics and is widely used in tropical cyclone research, but the turning flow as a key physical feature of TC motion has not been well monitored. Summary of the invention

[0003] The purpose of this application is to provide a multi-source guided airflow estimation method, device, equipment, medium and product to solve the problem that SAR has difficulty in obtaining the entire wind field information and steering flow.

[0004] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides a multi-source guided airflow estimation method, comprising: The first sea surface wind vector of the monitoring data is reconstructed to obtain a second sea surface wind vector, wherein the second sea surface wind vector includes a circularly 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.

[0005] 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.

[0006] Based on the true value of the sea surface wind field, the threshold method is used to estimate the typhoon center and the circularly symmetric wind vector field of the sea surface wind field inverted from the SAR image.

[0007] The sea surface wind vector is reconstructed based on the circularly symmetric wind vector field and the first stable guiding airflow to obtain a third sea surface wind vector, and multiple consecutive third sea surface wind vectors are synchronously fitted with the SAR image inverted sea surface wind field to determine a second stable guiding airflow.

[0008] 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.

[0009] In a second aspect, the present application provides a multi-source guided airflow estimation device, comprising: 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.

[0010] 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.

[0011] 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.

[0012] 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 determines the second stable guiding airflow.

[0013] 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.

[0014] In a third aspect, the present application provides 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 steps of any of the multi-source guided airflow estimation methods described above.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the multi-source guided airflow estimation methods described above.

[0016] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the multi-source guided airflow estimation methods described above.

[0017] According to the specific embodiments provided in this application, this application has the following technical effects: The present application provides a multi-source guided airflow estimation method, device, equipment, medium and product. The method reconstructs the first sea surface wind vector of the monitoring data to obtain a second sea surface wind vector. The reconstructed second sea surface wind vector improves the accuracy and reliability based on continuous SAR observations, and provides 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 SAR images to obtain the true value of the sea surface wind field, so that relatively accurate wind field information can be obtained. Based on the true value of the sea breeze surface wind field, the threshold method is used to estimate the typhoon center and the circularly symmetrical wind vector field of the sea surface wind field inverted from the SAR image. In the analysis of the typhoon sea surface wind field, specific areas or features can be extracted according to the thresholds of wind speed, wind direction or other related parameters. The sea surface wind vector is reconstructed based on the circularly symmetrical wind vector field and the first stable guided airflow to obtain a third sea surface wind vector. The third sea surface wind vector field integrates multiple data sources and information, and can more realistically reflect the sea surface wind field conditions. The third sea surface wind vector is inverted from the SAR image to obtain the sea surface wind field conditions. Synchronous fitting of the surface wind field, synchronously fitting the third sea surface wind vector with the sea surface wind field inverted from SAR images, 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 guiding airflow; eliminating the second stable guiding airflow, fitting the third sea surface wind vector with the sea surface wind field inverted from SAR images respectively, and determining the second instantaneous guiding airflow at each SAR observation moment, which is helpful for the dynamic analysis and direction prediction of the typhoon and the reconstruction of the sea surface wind in storm surge modeling. SAR technology not only captures the circularly symmetric wind vector field caused by the typhoon, but also obtains the information of multi-source guiding airflow by fitting and eliminating different airflow components. This information together constitutes a detailed picture of the entire wind field. The entire wind field information includes the location 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 monitoring data and image information, and the estimation of the turning flow is realized, which is conducive to real-time typhoon forecasting. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A schematic diagram of a process flow provided for an embodiment of the present application.

[0020] Figure 2 A schematic diagram of the working process provided for an embodiment of the present application.

[0021] Figure 3A schematic diagram of the relationship between various angles and various vectors provided in an embodiment of the present application.

[0022] Figure 4 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0025] like Figure 1 As shown, the embodiment of the present application provides a multi-source guided airflow estimation method, which specifically includes: S1: Reconstruct 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 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.

[0026] S2: Based on the second sea surface wind vector, the sea surface wind field is inverted using the SAR image to obtain a true value of the sea surface wind field.

[0027] S3: Based on the true value of the sea surface wind field, the threshold method is used to estimate the typhoon center and circularly symmetric wind vector field of the sea surface wind field inverted from the SAR image.

[0028] S4: reconstructing the 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 multiple consecutive third sea surface wind vectors with the SAR image inverted sea surface wind field, and determining a second stable guiding airflow.

[0029] S5: Eliminate the second stable guiding 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 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.

[0030] The present application discloses a multi-source guiding airflow estimation method, the method comprising the following steps: (1) taking the wind field inverted from multiple continuous SAR images as the true value of the sea surface wind field; (2) estimating the typhoon center and the best-fit circular symmetric wind vector field of each SAR typhoon sea surface wind field; (3) estimating a unified stable guiding airflow by synchronously fitting multiple circular symmetric rotating wind vector fields with the SAR inverted wind field; (4) eliminating the stable guiding airflow, fitting the reconstructed sea surface wind vector with the SAR inverted wind field respectively, and determining the instantaneous guiding airflow at each SAR observation time. The present application can determine the unified stable guiding airflow during the typhoon movement and the instantaneous guiding airflow at the corresponding moments of multiple SARs, which is helpful for the dynamic analysis and path forecast of typhoon movement and the reconstruction of sea surface wind in storm surge simulation, and thus is conducive to the quasi-real-time forecast and emergency management of typhoons and their secondary disasters. The present application discloses a multi-source guiding airflow estimation method for the dynamic analysis and quasi-real-time forecast of typhoon movement.

[0031] Further, in an exemplary embodiment, step S1 may be replaced by the following steps.

[0032] S101: Using Formulas 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.

[0033] A multi-source guiding airflow estimation method described in the present application takes three consecutive satellite-borne SAR remote sensing monitoring data (within about 24 hours) as an example, and reconstructs their high-resolution sea surface wind vectors into: three circularly symmetrical rotating wind vectors, one stable guiding airflow and three instantaneous guiding airflows.

[0034] Further, in an exemplary embodiment, step S2 may be replaced by the following steps.

[0035] S201: Using the SAR wind speed inversion algorithm, the wind speed is inverted 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.

[0036] The sea surface wind field is inverted using multiple continuous SAR images, that is, the corresponding SAR wind speed inversion algorithm C-3PO is used (that is, the relationship between cross-polarization radar signal and wind speed is utilized to invert wind speed through echo model and data fitting technology), and the wind field inverted from multiple continuous SAR images is used as the true value of the sea surface wind field.

[0037] Further, in an exemplary embodiment, step S3 may be replaced by the following steps.

[0038] S301: Based on the SHEW model and the improved Rankine vortex 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 inverted sea surface wind field in the SAR image.

[0039] The threshold method is used to estimate the typhoon center and the best-fit circularly symmetric wind vector field of each synthetic aperture radar SAR typhoon sea surface wind field.

[0040] Further, in an exemplary embodiment, step S4 may be replaced by the following steps.

[0041] S401: setting the first instantaneous guided airflow to zero, using the circularly symmetric rotating wind vector and the least squares method, fitting the second sea surface wind vector with the sea surface wind field inverted from the SAR image to obtain a third sea surface wind vector.

[0042] S402: Calculate the difference between the third sea surface wind vector and the circularly symmetric wind vector to estimate a second stable guiding airflow.

[0043] S403: 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 the parameter substitution result is generated to estimate the size of the second stable guided airflow.

[0044] S404: Simulate the wind direction 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 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.

[0045] The sea surface wind vector is reconstructed using the estimated multiple circularly symmetric 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.

[0046] 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 .

[0047] 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.

[0048] Further, in an exemplary embodiment, step S5 may be replaced by the following steps.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] 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 guided airflow corresponding to each SAR Substitute the reconstructed sea surface wind vector field The least squares method is used to fit the reconstructed sea surface wind vector field with the SAR inverted wind field obtained by inverting the sea surface wind field using multiple continuous SAR images as the sea surface true value. The difference between the two estimates the instantaneous guiding airflow of each SAR observation. .

[0053] Typhoon Saola (2023) exhibited a "loop" trajectory from August 25 to August 28. Generally speaking, there are two summer monsoon systems in August that affect the low vortex movement there: 1) the Western North Pacific Summer Monsoon and 2) the Indian Summer Monsoon. If there is no new steering current, a loop cannot be formed. Therefore, the guiding airflow around the circulation of Typhoon Saola (2023) is much more complicated than that of the summer monsoon.

[0054] Through the method provided in this application, for the continuous observation process of the sea surface wind field by the SAR satellite, such as Figure 2 As shown in Figure 1, by removing the uniform steady guiding airflow determined from three consecutive cases, the instantaneous guiding airflow on each SAR-inverted sea surface wind field can be determined and represented by black arrows. Figure 2 (a1), the black arrow indicates the southwest summer monsoon as the guiding flow. Figure 2 As shown in (a2), the black arrow indicates the turning flow that drives the vortex to the southwest, thus starting the loop. Figure 2 As shown in (a3), the instantaneous guiding airflow in the northeast direction indicated by the black arrow meets the southeast summer monsoon, which may be the factor causing Typhoon Saola (2023) to move southward. Figure 2 (b1), (b2) and (b3) are simplified schematic diagrams showing the influence of background wind vectors on typhoons in these three cases. Then, the southwest summer monsoon and the westward-directed airflow indicated by the black arrow push the vortex northeastward. The black directional flow encounters the southwest summer monsoon, blocking the path of the vortex moving eastward. Finally, the black-directed airflow becomes the southeast summer monsoon, and the loop is completed.

[0055] In summary, the circulation trajectories are consistent with the two summer monsoon systems in the two summer monsoon systems. As expected, the use of the uniform stable guiding airflow (in the formula ) to detect the summer monsoon, and by eliminating the monsoon effect, it is determined that there is at least one instantaneous northward (either from the northeast or the northwest) guiding airflow around the circulation area ( ).

[0056] 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.

[0057] The embodiment of the present application provides a multi-source guided airflow estimation device, which specifically includes: 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.

[0058] 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.

[0059] 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.

[0060] 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.

[0061] 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.

[0062] 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, referred to as I / O) and a communication interface. 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. 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 an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a video tag processing method is implemented.

[0063] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any of the multi-source guided airflow estimation methods described above.

[0064] An embodiment of the present application provides a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, any of the multi-source guided airflow estimation methods described above is implemented.

[0065] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0066] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this 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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