Rainfall area identification method and system for typhoon wind field of synthetic aperture radar

Abstract

The embodiment of the invention provides a rainfall area identification method and system aiming at a typhoon wind field of a synthetic aperture radar, and the method comprises the steps: obtaining high-resolution typhoon sea surface wind field data, and carrying out the mask processing of invalid values of land, islands and data edge regions in the high-resolution typhoon sea surface wind field data; identifying and determining the center position of a typhoon based on the wind field data, and performing mask processing on a circular area within a certain radius range by taking the center as an original point; dividing the preprocessed wind field data into a plurality of standardized grids, calculating the spatial domain statistical characteristics of the wind speed grid by grid, and judging whether the grids are rainfall areas or not according to the calculated characteristic ratio; and marking all grids which are judged as rainfall areas, and generating a typhoon rainfall spatial distribution diagram. According to the technical scheme, the technical bottleneck brought by traditional exogenous data dependence can be overcome, high-precision and rapid identification of the typhoon rainfall area is achieved, and more timely support is provided for disaster early warning and defense.

Description

Technical Field

[0001] This invention belongs to the field of marine data processing technology, and specifically relates to a method and system for identifying rainfall areas in typhoon wind fields using synthetic aperture radar. Background Technology

[0002] Typhoons are highly destructive natural disasters, with their strong winds, torrential rains, and storm surges posing serious threats to the socio-economic development and the safety of people's lives and property in coastal areas. Accurate identification and monitoring of rainfall areas within the typhoon structure are of significant scientific importance for typhoon path prediction, intensity assessment, and disaster prevention and mitigation. Synthetic Aperture Radar (SAR), with its high spatial resolution and all-weather imaging capabilities, has become an important observational tool for monitoring marine and atmospheric disasters. SAR can penetrate cloud cover and rainfall interference under complex meteorological conditions to directly invert and acquire sea surface scattering information, thereby deriving sea surface wind field characteristics, vortex structure, and their dynamic processes. However, current rainfall area identification and monitoring mainly rely on external observation methods such as microwave radiometers, meteorological satellite reanalysis data, or ground-based radar. While these data have some reference value on a macroscopic scale, they generally suffer from low spatial resolution, insufficient observation timeliness, and insensitivity to strong convective systems, making it difficult to meet the needs of refined monitoring during the rapid evolution of typhoons.

[0003] Therefore, how to provide a method and system for identifying rainfall areas in typhoon wind fields using synthetic aperture radar (SAR) and directly extract rainfall areas from typhoon wind fields by utilizing the intrinsic signal characteristics of SAR to overcome the technical bottleneck caused by the reliance on traditional external data, and achieve high-precision and rapid identification of typhoon rainfall areas, thus providing more timely support for disaster early warning and prevention, has become an urgent technical problem to be solved. Summary of the Invention

[0004] This invention provides a method and system for identifying rainfall areas in typhoon wind fields using synthetic aperture radar (SAR). By utilizing the intrinsic signal characteristics of SAR, the method directly extracts rainfall areas from typhoon wind fields, overcoming the technical bottleneck caused by reliance on traditional external data. This enables high-precision and rapid identification of typhoon rainfall areas, providing more timely support for disaster early warning and prevention.

[0005] In one embodiment of the present invention, a method for identifying rainfall areas in a synthetic aperture radar (SAR) typhoon wind field is provided, comprising:

[0006] S101. Data Acquisition and Preprocessing: Acquire high-resolution typhoon sea surface wind field data and mask invalid values ​​in land, island and data edge areas.

[0007] S102. Typhoon Center Location and Eye Masking: Based on the wind field data, the location of the typhoon center is identified and determined. Using the center as the origin, a circular area within a certain radius is masked to avoid interference from drastic changes in wind speed in the typhoon eye and eyewall area on rainfall identification.

[0008] S103. Rainfall feature extraction and identification: The preprocessed wind field data is divided into multiple standardized grids. The spatial domain statistical features of wind speed are calculated for each grid, and the grid is determined to be a rainfall area based on the calculated feature ratio.

[0009] S104. Rainfall Distribution Output: Mark all grids identified as rainfall areas to generate a spatial distribution map of typhoon rainfall.

[0010] Furthermore, the masking process also includes masking the values ​​within a preset pixel width range of the wind field data edge to eliminate systematic errors introduced by incomplete data boundaries or zero-padding operations.

[0011] Furthermore, the preset pixel width is 5 pixels.

[0012] Furthermore, identifying and determining the location of the typhoon center based on the wind field data includes:

[0013] S201. Preliminary Eye Area Delineation: To constrain the search range of the center, closed contour lines are drawn using a preset proportion of the maximum wind speed of the wind field as a threshold to delineate the range of the typhoon eye area.

[0014] S202, Candidate Center Identification: Within the contour lines, based on the characteristics of the typhoon center wind speed, local minimum values ​​of wind speed are extracted as candidate centers;

[0015] S203. Structural symmetry test: For each candidate center, a wind speed profile is taken along a preset direction. If the profile satisfies that there is a local maximum wind speed on both sides of the candidate center, and the maximum wind speed is at least twice the wind speed of the candidate center, then the candidate center is determined to pass the test.

[0016] S204. Center Determination: From the candidate centers that have passed the test, select the point with the lowest wind speed as the final typhoon center.

[0017] Furthermore, the preset ratio is 85%, the preset direction includes the range and azimuth directions of the synthetic aperture radar, and the length of the wind speed profile is 100km.

[0018] Furthermore, the radius of the circular region is 25 km.

[0019] Furthermore, the standardized grid size is 5km × 5km, and the spatial domain statistical characteristics include the mean. Standard deviation u std and the characteristic ratio of the two

[0020]

[0021] Among them, u i,j This represents the wind speed value at position (i,j) within the grid, where (m,n) are the number of sampling points in the grid in the two dimensions, respectively.

[0022] When the feature ratio α ≥ 0.04, the corresponding grid is determined to be a rainfall area.

[0023] In another embodiment of the present invention, a rainfall zone identification system for synthetic aperture radar (SAR) typhoon wind fields is provided, based on the rainfall zone identification method for SAR typhoon wind fields described in any of the above claims, the system comprising:

[0024] The data acquisition and preprocessing module is used to acquire high-resolution typhoon sea surface wind field data and to mask invalid values ​​in the land, island and data edge areas.

[0025] The typhoon center positioning and eye masking module is used to identify and determine the location of the typhoon center based on the wind field data, and to perform masking on a circular area within a certain radius with the center as the origin.

[0026] The rainfall feature extraction and identification module is used to divide the preprocessed wind field data into multiple standardized grids, calculate the spatial domain statistical features of wind speed for each grid, and determine whether the grid is a rainfall area based on the calculated feature ratio.

[0027] The rainfall distribution output module is used to mark all grids identified as rainfall areas and generate a spatial distribution map of typhoon rainfall.

[0028] Furthermore, the typhoon center positioning and eye area masking module is specifically used for:

[0029] Contour lines were drawn with 85% of the maximum wind speed in the wind field as the threshold to limit the search range;

[0030] Local minimum wind speeds within contour lines are identified as candidate centers.

[0031] The candidate center is subjected to a structural symmetry test, which includes determining whether the distance and azimuth wind speed profiles starting from the candidate center have wind speed maxima on both sides of it, and the maxima are at least twice the wind speed of the candidate center.

[0032] From the candidate centers that passed the test, the point with the lowest wind speed was selected as the final typhoon center;

[0033] Using the determined typhoon center as the center, a circular area with a radius of 25km is masked.

[0034] In another embodiment of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the rainfall zone identification method for synthetic aperture radar typhoon wind field as described above.

[0035] In another embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for identifying rainfall zones in synthetic aperture radar typhoon wind fields.

[0036] The beneficial effects of this invention are as follows:

[0037] This invention provides a method and system for identifying rainfall areas in typhoon wind fields obtained from synthetic aperture radar (SAR). The method involves acquiring high-resolution typhoon sea surface wind field data and masking invalid values ​​in land, island, and data edge regions. Based on the wind field data, the typhoon center is identified and determined. Using this center as the origin, a circular area within a certain radius is masked to avoid interference from drastic wind speed changes in the typhoon eye and eyewall regions. The pre-processed wind field data is divided into multiple standardized grids. Spatial domain statistical features of wind speed are calculated for each grid, and the calculated feature ratios determine whether the grid is a rainfall area. All grids identified as rainfall areas are marked to generate a typhoon rainfall spatial distribution map. This invention utilizes the intrinsic signal features of SAR to directly extract rainfall areas from typhoon wind fields, overcoming the technical bottlenecks caused by reliance on traditional external data. This achieves high-precision and rapid identification of typhoon rainfall areas, providing more timely support for disaster early warning and prevention. Attached Figure Description

[0038] Figure 1 A schematic diagram illustrating a method for identifying rainfall zones in a typhoon wind field using synthetic aperture radar, according to an embodiment of the present invention;

[0039] Figure 2 A schematic diagram illustrating the typhoon center localization of a method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to an embodiment of the present invention;

[0040] Figure 3 This diagram illustrates the rainfall area of ​​Typhoon "Lee" based on the spatial domain parameter ratio extraction for typhoon wind fields from synthetic aperture radar, according to an embodiment of the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0042] This invention provides a method for identifying rainfall areas in typhoon wind fields using synthetic aperture radar (SAR), overcoming the limitations of existing technologies that rely on external observation data (such as microwave radiometer data, meteorological reanalysis data, or ground-based weather radar) for rainfall area identification and extraction. It leverages the intrinsic advantages of SAR in typhoon wind field observation to identify and extract rainfall areas in real time.

[0043] like Figures 1 to 3 As shown, Figure 1 A schematic diagram illustrating a method for identifying rainfall zones in a typhoon wind field using synthetic aperture radar, according to an embodiment of the present invention; Figure 2 A schematic diagram illustrating the typhoon center localization of a method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to an embodiment of the present invention; Figure 3 This diagram illustrates the rainfall area of ​​Typhoon "Lee" based on the spatial domain parameter ratio extraction for typhoon wind fields from synthetic aperture radar, according to an embodiment of the present invention.

[0044] Figure 1 A method for identifying rainfall zones in typhoon wind fields using synthetic aperture radar includes:

[0045] S101. Data Acquisition and Preprocessing: Acquire high-resolution typhoon sea surface wind field data and mask invalid values ​​in land, island and data edge areas.

[0046] S102. Typhoon Center Location and Eye Masking: Based on the wind field data, the location of the typhoon center is identified and determined. Using the center as the origin, a circular area within a certain radius is masked to avoid interference from drastic changes in wind speed in the typhoon eye and eyewall area on rainfall identification.

[0047] S103. Rainfall feature extraction and identification: The preprocessed wind field data is divided into multiple standardized grids. The spatial domain statistical features of wind speed are calculated for each grid, and the grid is determined to be a rainfall area based on the calculated feature ratio.

[0048] S104. Rainfall Distribution Output: Mark all grids identified as rainfall areas to generate a spatial distribution map of typhoon rainfall.

[0049] In this embodiment of the invention, a method for identifying rainfall areas in typhoon wind fields using synthetic aperture radar (SAR) is provided. This method only needs to rely on the differences in spatial domain parameters of typhoon SAR wind field data to extract rainfall areas. Compared with traditional methods, this invention does not require external data such as microwave radiometers or meteorological reanalysis data. It has real-time performance and higher resolution, which is of great significance for the study of the fine structure of typhoon wind fields.

[0050] In one embodiment of the present invention, the masking process further includes: masking the values ​​within a preset pixel width range of the wind field data edge to eliminate systematic errors introduced by incomplete data boundaries or zero-padding operations.

[0051] In another embodiment of the present invention, the preset pixel width is 5 pixels.

[0052] In another embodiment of the present invention, identifying and determining the location of the typhoon center based on the wind field data includes:

[0053] S201. Preliminary Eye Area Delineation: To constrain the search range of the center, closed contour lines are drawn using a preset proportion of the maximum wind speed of the wind field as a threshold to delineate the range of the typhoon eye area.

[0054] S202, Candidate Center Identification: Within the contour lines, based on the characteristics of the typhoon center wind speed, local minimum values ​​of wind speed are extracted as candidate centers;

[0055] S203. Structural symmetry test: For each candidate center, a wind speed profile is taken along a preset direction. If the profile satisfies that there is a local maximum wind speed on both sides of the candidate center, and the maximum wind speed is at least twice the wind speed of the candidate center, then the candidate center is determined to pass the test.

[0056] S204. Center Determination: From the candidate centers that have passed the test, select the point with the lowest wind speed as the final typhoon center.

[0057] In another embodiment of the present invention, the preset ratio is 85%, the preset direction includes the range and azimuth directions of the synthetic aperture radar, and the length of the wind speed profile is 100km.

[0058] like Figure 2As shown, (a) is a 500m resolution sea surface wind speed field image of Typhoon LEE observed by RADARSAT-2 at 9:50:08 UTC on September 10, 2023. The black curve is the 85% wind speed contour line, and the black dots are the locations of local minimum values ​​within the contour lines. The black straight lines are the 100km longitudinal and transverse profiles centered on the minimum points in (b) and (c). The black dots in (b) and (c) represent the local maximum points of the profiles. Wind speed profiles of 100km in length are extracted along the radar's azimuth and range directions, centered on each candidate point. Figure 2 As shown by the black line in (a), the point where there is a local maximum (eyewall region) with significantly increased wind speed on both sides of the minimum point, and the maximum wind speed is at least twice the central minimum wind speed, is the typhoon center. Figure 2 (b) and Figure 2 (c) shows the wind speed profile characteristics that meet the conditions. If multiple points meet the above conditions, the point with the minimum wind speed is selected as the typhoon center.

[0059] In another embodiment of the present invention, the radius of the circular region is 25 km.

[0060] In another embodiment of the present invention, the size of the standardized grid is 5km × 5km, and the spatial domain statistical characteristics include the mean. Standard deviation u std and the characteristic ratio of the two

[0061]

[0062] Among them, u i,j This represents the wind speed value at position (i,j) within the grid, where (m,n) are the number of sampling points in the grid in the two dimensions, respectively.

[0063] When the feature ratio α ≥ 0.04, the corresponding grid is determined to be a rainfall area.

[0064] Figure 3 This is a schematic diagram of the rainfall area of ​​Typhoon "Lee" extracted based on the spatial domain parameter ratio of this invention. Figure (a) shows the standard deviation of wind speed u calculated by a 5km×5km grid. std with the mean (a) is the distribution map of the ratio α, and (b) is the distribution map of the rainfall area after extraction based on the criterion α≥0.04. Non-rainfall grids were removed, and only the identified rainfall areas were retained.

[0065] In one embodiment of the present invention, a method for identifying rainfall zones in a synthetic aperture radar (SAR) typhoon wind field includes:

[0066] To obtain 500m resolution typhoon sea surface wind field data provided by the National Oceanic and Atmospheric Administration's Satellite Applications and Research Center (NOAA / STAR), using the 500m resolution sea surface wind speed field data of Typhoon "Lee" observed by RADARSAT-2 at 9:50:08 UTC on September 10, 2023 as an example, ... Figure 2 (a) Further explanation of the method provided by this invention: First, the missing values ​​for land and edges are masked. The land mask uses the Basemap library in the Python programming language, whose coastline data has a latitude and longitude resolution of approximately 1 minute (approximately 1.85 km). During the processing, the wind speed values ​​corresponding to pixels identified as land or islands are masked. Simultaneously, to avoid boundary effects caused by incomplete data boundaries in subsequent analysis or visualization, the five-pixel positions at the data edges are also masked.

[0067] The typhoon wind field data is subjected to center localization and eye masking processing, specifically including:

[0068] Preliminary eye region delineation: To constrain the search area of ​​the center, closed contour lines are drawn using 85% of the maximum wind speed of the wind field as a threshold to roughly delineate the typhoon eye region. In this embodiment, the threshold is 25.6 m / s. Figure 2 (a) As shown by the black outline;

[0069] Candidate center identification involves extracting local minima within the contour lines, based on the characteristic of low wind speeds at the typhoon center, as candidate centers. Figure 2 (a) shows the black dots;

[0070] To ensure the physical authenticity of candidate points, the algorithm incorporates a structural symmetry check. Centered on each candidate point, wind speed profiles of 100km length are extracted along both the radar's azimuth and range axes (e.g.,...). Figure 2 (as shown by the black line in (a)) The point that satisfies the condition that there is a local maximum (eyewall region) with significantly increased wind speed on both sides of the minimum point, and that the maximum wind speed is at least twice the central minimum wind speed, is the typhoon center. Figure 2 (b) and Figure 2 (c) shows the wind speed profile characteristics that meet the conditions. If multiple points meet the above conditions, the point with the minimum wind speed is selected as the typhoon center.

[0071] Typhoon eye masking involves masking a circular area with a radius of 25km centered on the typhoon center to eliminate interference from excessive wind speed gradients in the typhoon eye and eyewall region on rainfall identification.

[0072] Rainfall feature extraction and identification: The preprocessed wind field data is divided into a standardized grid of 5km × 5km. For each grid, the standard deviation of wind speed u is calculated. std with the mean And the ratio α between the two. The calculation results are as follows: Figure 3 As shown in (a), the horizontal and vertical axes represent the grid positions. Based on the characteristics of sudden changes in wind speed in the rainfall area, the grid is determined to be a rainfall area when α≥0.04.

[0073] A rainfall distribution map is generated. Based on the above criteria, areas with α < 0.04 are removed, and areas with α ≥ 0.04 are retained. For example... Figure 3 As shown in (b), with Figure 2 The rainfall areas in (a) overlap.

[0074] In another embodiment of the present invention, a rainfall zone identification system for synthetic aperture radar (SAR) typhoon wind fields is provided, based on the rainfall zone identification method for SAR typhoon wind fields described in any of the above claims, the system comprising:

[0075] The data acquisition and preprocessing module is used to acquire high-resolution typhoon sea surface wind field data and to mask invalid values ​​in the land, island and data edge areas.

[0076] The typhoon center positioning and eye masking module is used to identify and determine the location of the typhoon center based on the wind field data, and to perform masking on a circular area within a certain radius with the center as the origin.

[0077] The rainfall feature extraction and identification module is used to divide the preprocessed wind field data into multiple standardized grids, calculate the spatial domain statistical features of wind speed for each grid, and determine whether the grid is a rainfall area based on the calculated feature ratio.

[0078] The rainfall distribution output module is used to mark all grids identified as rainfall areas and generate a spatial distribution map of typhoon rainfall.

[0079] In another embodiment of the present invention, the typhoon center positioning and eye area masking module is specifically used for:

[0080] Contour lines were drawn with 85% of the maximum wind speed in the wind field as the threshold to limit the search range;

[0081] Local minimum wind speeds within contour lines are identified as candidate centers.

[0082] The candidate center is subjected to a structural symmetry test, which includes determining whether the distance and azimuth wind speed profiles starting from the candidate center have wind speed maxima on both sides of it, and the maxima are at least twice the wind speed of the candidate center.

[0083] From the candidate centers that passed the test, the point with the lowest wind speed was selected as the final typhoon center;

[0084] Using the determined typhoon center as the center, a circular area with a radius of 25km is masked.

[0085] In another embodiment of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the rainfall zone identification method for synthetic aperture radar typhoon wind field as described above.

[0086] In another embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for identifying rainfall zones in synthetic aperture radar typhoon wind fields.

[0087] This invention provides a method and system for identifying rainfall areas in typhoon wind fields using synthetic aperture radar. The method involves acquiring high-resolution typhoon sea surface wind field data and masking invalid values ​​in land, island, and data edge regions. Based on the wind field data, the method identifies and determines the typhoon center location, and uses this center as the origin to mask a circular area within a certain radius to avoid interference from drastic wind speed changes in the typhoon eye and eyewall region. The pre-processed wind field data is divided into multiple standardized grids, and the spatial domain statistical characteristics of wind speed are calculated for each grid. The calculated characteristic ratio is used to determine whether the grid is a rainfall area. All grids identified as rainfall areas are marked to generate a typhoon rainfall spatial distribution map.

[0088] The technical solution of this invention utilizes the intrinsic signal characteristics of synthetic aperture radar to directly extract rainfall areas from typhoon wind fields, thereby overcoming the technical bottleneck caused by the reliance on traditional external data. This enables high-precision and rapid identification of typhoon rainfall areas, providing more timely support for disaster early warning and prevention.

[0089] The above are preferred embodiments of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for identifying rainfall zones in typhoon wind fields using synthetic aperture radar, characterized in that, The method includes: S101. Data Acquisition and Preprocessing: Acquire high-resolution typhoon sea surface wind field data and mask invalid values ​​in land, island and data edge areas. S102. Typhoon Center Location and Eye Masking: Based on the wind field data, the location of the typhoon center is identified and determined. Using the center as the origin, a circular area within a certain radius is masked to avoid interference from drastic changes in wind speed in the typhoon eye and eyewall area on rainfall identification. S103. Rainfall feature extraction and identification: The preprocessed wind field data is divided into multiple standardized grids. The spatial domain statistical features of wind speed are calculated for each grid, and the grid is determined to be a rainfall area based on the calculated feature ratio. S104. Rainfall Distribution Output: Mark all grids identified as rainfall areas to generate a spatial distribution map of typhoon rainfall.

2. The method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to claim 1, characterized in that, The masking process further includes masking the values ​​within a preset pixel width range of the wind field data edge to eliminate systematic errors introduced by incomplete data boundaries or zero-padding operations.

3. The method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to claim 2, characterized in that, The preset pixel width is 5 pixels.

4. The method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to claim 1, characterized in that, Identifying and determining the location of the typhoon center based on the wind field data includes: S201. Preliminary Eye Area Delineation: To constrain the search range of the center, closed contour lines are drawn using a preset proportion of the maximum wind speed of the wind field as a threshold to delineate the range of the typhoon eye area. S202, Candidate Center Identification: Within the contour lines, based on the characteristics of the typhoon center wind speed, local minimum values ​​of wind speed are extracted as candidate centers; S203. Structural symmetry test: For each candidate center, a wind speed profile is taken along a preset direction. If the profile satisfies that there is a local maximum wind speed on both sides of the candidate center, and the maximum wind speed is at least twice the wind speed of the candidate center, then the candidate center is determined to pass the test. S204. Center Determination: From the candidate centers that have passed the test, select the point with the lowest wind speed as the final typhoon center.

5. The method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to claim 4, characterized in that, The preset ratio is 85%, the preset direction includes the range and azimuth directions of the synthetic aperture radar, and the length of the wind speed profile is 100 km.

6. The method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to claim 1, characterized in that, The radius of the circular region is 25 km.

7. The method for identifying rainfall areas in a synthetic aperture radar typhoon wind field according to claim 1, characterized in that, The standardized grid is 5km × 5km in size, and the spatial domain statistical characteristics include the mean. Standard deviation u std and the characteristic ratio of the two Among them, u i,j This represents the wind speed value at position (i,j) within the grid, where (m,n) are the number of sampling points in the grid in the two dimensions, respectively. When the feature ratio α ≥ 0.04, the corresponding grid is determined to be a rainfall area.

8. A rainfall zone identification system for synthetic aperture radar (SAR) typhoon wind fields, based on the rainfall zone identification method for SAR typhoon wind fields as described in any one of claims 1 to 7, characterized in that, The system includes: The data acquisition and preprocessing module is used to acquire high-resolution typhoon sea surface wind field data and to mask invalid values ​​in the land, island and data edge areas. The typhoon center positioning and eye masking module is used to identify and determine the location of the typhoon center based on the wind field data, and to perform masking on a circular area within a certain radius with the center as the origin. The rainfall feature extraction and identification module is used to divide the preprocessed wind field data into multiple standardized grids, calculate the spatial domain statistical features of wind speed for each grid, and determine whether the grid is a rainfall area based on the calculated feature ratio. The rainfall distribution output module is used to mark all grids identified as rainfall areas and generate a spatial distribution map of typhoon rainfall.

9. A rainfall zone identification system for synthetic aperture radar typhoon wind fields according to claim 8, characterized in that, The typhoon center positioning and eye area mask module is specifically used for: Contour lines were drawn with 85% of the maximum wind speed in the wind field as the threshold to limit the search range; Local minimum wind speeds within contour lines are identified as candidate centers. The candidate center is subjected to a structural symmetry test, which includes determining whether the distance and azimuth wind speed profiles starting from the candidate center have wind speed maxima on both sides of it, and the maxima are at least twice the wind speed of the candidate center. From the candidate centers that passed the test, the point with the lowest wind speed was selected as the final typhoon center; Using the determined typhoon center as the center, a circular area with a radius of 25km is masked.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a method for identifying rainfall zones in synthetic aperture radar typhoon wind fields as described in any one of claims 1 to 7.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for identifying rainfall zones in synthetic aperture radar typhoon wind fields as described in any one of claims 1 to 7.

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