An airborne weather radar detection data and in-situ observation data correlation method

Abstract

The present application relates to airborne weather radar technical field, disclose a kind of airborne weather radar detection data and in situ observation data correlation method, the present application is by calculating the line-of-sight vector of in situ measurement point, calculating weather radar detection data and in situ measurement result correlation angle, and correlation processing cycle determination and matching filter correlation result output etc. Process, weather radar detection data and in situ measurement result can be accurately, effectively matched correlation, solve the time, space inconsistency problem of direct analysis of airborne weather radar detection data and in situ observation data, improve the accuracy of comprehensive observation result, improve the performance evaluation process of airborne weather radar compared with in situ observation data.

Description

Technical Field

[0001] This invention relates to the field of airborne weather radar technology and discloses a method for correlating airborne weather radar detection data and in-situ observation data. Background Technology

[0002] In the development of airborne weather radar, to evaluate its detection performance or to obtain more accurate and multi-source data during certain aerial meteorological target observation flight tests, a series of devices for collecting scientific measurement results are often installed on the aircraft. These devices include many forward-looking detection equipment, such as airborne weather radar and lidar, which can obtain long-range radar detection data at great distances from the aircraft. At the same time, the aircraft's pitot tube, temperature detection equipment, acceleration sensors, ice crystal water content measurement equipment, etc., can record in-situ measurement results at the aircraft's current position.

[0003] For example, in the flight test of high-altitude ice crystal water content detection by airborne weather radar, the airborne weather radar operates in the conventional weather detection scanning mode, scanning the space area in front of the aircraft. The sensor equipment installed on the fuselage and wings collects in-situ measurement results in the area scanned by the radar during the flight of the aircraft. The purpose of this test is to compare and analyze the real weather conditions by collecting long-range radar detection data and in-situ measurement values, and to evaluate and optimize the ice crystal detection performance of the weather radar.

[0004] Because the results from airborne weather radar and in-situ observation equipment are inconsistent in time and space, their measurement results cannot be directly compared and used. A correlation processing procedure is needed to improve the accuracy of the matching data, thereby better completing the comprehensive analysis of flight test detection data or the performance evaluation and capability improvement of forward-looking detection equipment. Summary of the Invention

[0005] The purpose of this invention is to provide a method for correlating airborne weather radar detection data and in-situ observation data, which can accurately and effectively match and correlate weather radar detection data and in-situ measurement results, solve the problem of time and space inconsistency in direct analysis of airborne weather radar detection data and in-situ observation data, improve the accuracy of comprehensive observation results, and improve the performance evaluation process of airborne weather radar compared with in-situ observation data.

[0006] To achieve the above-mentioned technical effects, the technical solution adopted by the present invention is as follows: A method for correlating airborne weather radar detection data and in-situ observation data includes: Based on real-time radar detection data and in-situ measurement data obtained from aircraft along their flight path, the following data is acquired: t i The aircraft is always in the forward-looking detection position. p iAt the in-situ measurement point q j Radar detection data, and in t j The aircraft was at the in-situ measurement point q j The in-situ measurement results at the location, and .

[0007] Will t i Forward detection position as described at the time p i coordinates of latitude, longitude and altitude coordinate system t j The in-situ measurement point at the specified time q j The coordinates of the latitude, longitude, and altitude coordinate system are converted to the northeast-sky coordinate system, and the coordinates are determined. t i Forward detection position as described at the time p i With the in-situ measurement point q j The line-of-sight vectors between them; Sure t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the meteorological radar beam. q j The beam pointing angle, and the in-situ measurement point q j The corresponding range gate is used, and calculations are performed based on the beam pointing angle and the range gate. t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the weather radar beam. q j The beam pointing vector; according to t i Forward detection position as described at the time p i With the in-situ measurement point q j line-of-sight vectors between t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the meteorological radar beam. q j The beam pointing vector is used to determine the correlation angle between the line-of-sight vector and the beam pointing vector; Based on the preset maximum association distance and ti The vacuum speed of the aircraft at that moment, to obtain t i The maximum time correlation between aircraft weather radar detection data and in-situ measurement results; Judgment in t i The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Radar detection data at the location and in The aircraft was at the in-situ measurement point q j Does the in-situ measurement result at the location satisfy the cyclic correlation judgment condition? If in t i The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Radar detection data at the location and in The aircraft was at the in-situ measurement point q j If the in-situ measurement results at the location do not show any potential correlation, then it is determined that... t i The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Weather radar detection data and in The aircraft was at the in-situ measurement point q j If there is a potential correlation between the in-situ measurement results at point +1, and if all in-situ measurement points are traversed and none of them satisfy the condition for cyclic correlation, then the correlation is determined iteratively. t i+1 The aircraft is always in the forward-looking detection position. p i +1 is the in-situ measurement point. q j Radar detection data at the location and in t j The aircraft was at the in-situ measurement point q j The investigation will continue until the aircraft positions at all times are traversed and the conditions for cyclic correlation are met. For those with potential connections t i The aircraft is always in the forward-looking detection position. pi At the in-situ measurement point q j Weather radar detection data and in t j The aircraft was at the in-situ measurement point q j The in-situ measurement results at the location will be t i The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data at the location, and in t j The aircraft was at the in-situ measurement point q j One-to-one correlation analysis was performed on the in-situ measurement results at the location to obtain information about the in-situ measurement points. q j One-to-one correspondence of meteorological radar detection data and in-situ measurement results.

[0008] Furthermore, let's assume t i Forward detection position as described at the time p i The coordinates in the latitude, longitude and altitude coordinate system are , t j The in-situ measurement point at the specified time q j The coordinates in the latitude, longitude and altitude coordinate system are ,but t i Forward detection position as described at the time p i With the in-situ measurement point q j The line-of-sight vector between them is:

[0009] in: ; ; ; a , b , e These represent the Earth's semi-major and semi-minor axes and the eccentricity constant used in the Earth coordinate system. a=6378.137km , b=6356.752km, e=8.18192×10 -2 .

[0010] Furthermore, the correlation angle between the line-of-sight vector and the beam pointing vector is determined by... Calculated, where: It is the inverse cosine function; The in-situ measurement line-of-sight vector. The beam pointing vector; The magnitude of the in-situ measurement line-of-sight vector; The magnitude of the beam pointing vector.

[0011] Furthermore, the aforementioned t i The maximum time correlation between aircraft weather radar detection data and in-situ measurement results. Calculated, where: For the maximum associated time; The preset maximum association distance, for t i The vacuum speed of an aircraft at any given moment.

[0012] Furthermore, the condition for determining circular association is: ; in: This refers to the beamwidth of the airborne weather radar. The meteorological range resolution of the airborne weather radar; To correlate the maximum time, and These are the preset minimum and maximum association distances.

[0013] Furthermore, in t i The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data and in t j The aircraft was at the in-situ measurement point q j Methods for performing one-to-one correlation analysis on in-situ measurement results include: S1: Targeting The aircraft was at the in-situ measurement point q j The in-situ measurement results are used to average the associated candidate weather radar detection data that overlap with the in-situ measurement results within one beamwidth in azimuth, and the averaged associated candidate weather radar detection data are obtained. S2: Calculate the sliding window length of the length-matched filter based on the in-situ measurement results and the resolution range unit of the weather radar; S3: Based on the sliding window length, perform mean filtering on the in-situ measurement results to obtain the mean-filtered in-situ measurement results; S4: Calculate the mean value of the associated candidate weather radar detection data after averaging in the sliding window to obtain the mean weather radar detection data. S5: Save the averaged meteorological radar detection data and the averaged filtered in-situ measurement results as a correlation result and output them.

[0014] Furthermore, through Calculate the sliding window length of the length-matched filter, where: The sliding window length for length-matched filtering; Indicates the sampling rate of in-situ measurements; This indicates the meteorological range resolution of the airborne weather radar. This indicates the aircraft's vacuum speed.

[0015] Furthermore, through The in-situ measurement results after mean filtering are calculated, where: The results are in-situ measurements after mean filtering; The in-situ measurement results are before mean filtering; express time; This is the sliding window length for length-matched filtering.

[0016] Furthermore, the formula for obtaining the average value of the meteorological radar detection data is as follows: ; in, The data is the averaged weather radar data; The data consists of candidate weather radar data after averaging. This represents the signal-to-noise ratio of the corresponding weather radar measurement results.

[0017] Compared with the prior art, the beneficial effects of this invention are: This invention, through processes such as calculating the line-of-sight vector of the in-situ measurement point, calculating the correlation angle between meteorological radar detection data and in-situ measurement results, and performing correlation processing loop judgment and matched filtering correlation result output, can accurately and effectively match and correlate meteorological radar detection data and in-situ measurement results. This solves the problem of time and space inconsistency in the direct analysis of airborne meteorological radar detection data and in-situ observation data, improves the accuracy of comprehensive observation results, and improves the performance evaluation process of airborne meteorological radar compared with in-situ observation data. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating the method for correlating airborne weather radar detection data and in-situ observation data in this embodiment; Figure 2This is a simplified flowchart of the method for correlating airborne weather radar detection data and in-situ observation data in the embodiment; Figure 3 This is a schematic diagram of time intervals along the line-of-sight vector; Figure 4 This is a schematic diagram of the distance segment along the line-of-sight vector; Figure 5 This is a flowchart of the matched filtering processing method. Detailed Implementation

[0019] The present invention will now be described in further detail with reference to the embodiments and accompanying drawings. However, this should not be construed as limiting the scope of the above-described subject matter of the present invention to the following embodiments; all technologies implemented based on the content of the present invention fall within the scope of the present invention.

[0020] Example During aircraft flight, targeting the flight path b Location, in t i The plane is always in a Location was detected using weather radar. b Location, obtain b The location was detected by weather radar, and then the aircraft flew to... t j Time to arrive b Location, obtained through onboard in-situ measurement equipment. b The in-situ measurement results of the location. Weather radar detection data and in-situ measurement data obtained after the aircraft has flown a certain distance, using the correlation method between airborne weather radar detection data and in-situ observation data provided in this invention, can be used to correlate the weather radar detection data and in-situ measurement data. b The weather radar detection data and in-situ measurement results at each location are correlated. Similarly, the weather radar detection data and in-situ measurement results at each location along the navigation path are correlated. The specific methods and steps are described below.

[0021] See Figure 1 and Figure 2 A method for correlating airborne weather radar detection data and in-situ observation data, comprising: Step 1: Based on real-time radar detection data and in-situ measurement data obtained from the aircraft's flight path, acquire... The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Radar detection data, and in The aircraft was at the in-situ measurement point q j The in-situ measurement results at the location, and .

[0022] Step 2: t i Forward detection position as described at the time p i coordinates of latitude, longitude and altitude t j The in-situ measurement point at the specified time q j The coordinates of the latitude, longitude, and altitude coordinate system are converted to the northeast-sky coordinate system, and the coordinates are determined. t i Forward detection position as described at the time p i With the in-situ measurement point q j The line-of-sight vector between them.

[0023] Specifically, such as Figure 3 As shown, t i The real-time aircraft weather radar detection data and the aircraft's in-situ measured flight path are overlaid and displayed. The white arrows indicate the portion of the in-situ measurement point (in the latitude, longitude, and altitude coordinate system, the origin is the aircraft) that falls within the current aircraft weather radar detection spatial resolution unit. At this time, a northeast-sky coordinate system is established with the aircraft's location as the origin. t j In-situ measurement point at time q j latitude and longitude coordinates and t i The forward-looking detection position of the aircraft when the weather radar produces its detection results p i latitude and longitude coordinates All coordinates are converted to the northeast-northeast coordinate system, and then the following formula is used to calculate... t i Forward-looking detection position of aircraft p i Compared with the in-situ measurement point q j The line-of-sight vector in the northeast celestial coordinate system :

[0024] in: ; ; ; a , b , e These represent the Earth's semi-major and semi-minor axes and the eccentricity constant used in the Earth coordinate system. a=6378.137km , b=6356.752km, e=8.18192×10-2 It should be noted that... t j In-situ measurement point at time q j Location is ,remember t i The forward-looking detection position of the aircraft when the weather radar produces its detection results ,but , Step 3: Confirm t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the weather radar beam. q j The beam pointing angle, and the in-situ measurement point q j The corresponding range gate is used, and calculations are performed based on the beam pointing angle and the range gate. t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the weather radar beam. q j beam pointing vector ,according to t i Forward detection position as described at the time p i With the in-situ measurement point q j line-of-sight vectors between t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the weather radar beam. q j beam pointing vector Determine the correlation angle between the line-of-sight vector and the beam pointing vector.

[0025] Specifically, such as Figure 4 As shown, t i The data is overlaid with real-time aircraft weather radar detection data and the aircraft's in-situ measured flight path. This overlay includes the scanning beam pointing of the airborne weather radar. Data correlation requires that the in-situ measurement point fall within the weather radar's range resolution unit, i.e., within the radar's coverage area. Therefore, it is necessary to correlate the beam pointing vector of the airborne weather radar. Represented in the northeast-central celestial coordinate system, specifically, the parameters are determined based on the airborne weather radar. t iAircraft weather radar beam scanning in-situ measurement points q j The beam pointing angle, and the in-situ measurement point q j The corresponding distance gate, and then, based on the in-situ measurement point q j The beam pointing angle and the corresponding range gate are used to calculate the beam pointing angle in the northeast celestial coordinate system. t i Aircraft weather radar beam scanning in-situ measurement points q j beam pointing vector .

[0026] Then, according to the northeast celestial coordinate system t i Time aircraft and in-situ measurement point q j line-of-sight vectors , t i Aircraft weather radar beam scanning in-situ measurement points q j beam pointing vector ,calculate t i In-situ measurement point at time q j Corresponding in-situ measurement line-of-sight vector and meteorological detection beam pointing vector related angle The formula is: ; in, It is the inverse cosine function; The magnitude of the in-situ measurement line-of-sight vector; The magnitude of the beam pointing vector.

[0027] Step 4: Based on the preset maximum association distance and t i The vacuum speed of the aircraft at that moment, to obtain t i The maximum time correlation between aircraft weather radar detection data and in-situ measurement results.

[0028] Specifically, because aircraft flight paths are not always straight but may involve curves or turns, multiple flight paths may appear within the area scanned by weather radar. Furthermore, the weather radar data and in-situ measurement results for the same or nearby locations may be separated by a significant time interval. To correlate in-situ measurement results with weather radar data, it is necessary to limit the maximum correlation time between the in-situ measurement results and the weather radar data. The formula is: ,in, The preset maximum association distance, for t i The vacuum speed of an aircraft is measured at any given time.

[0029] Step 5: Determine if... The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Radar detection data at the location, and in The aircraft was at the in-situ measurement point q j Does the in-situ measurement result at the location meet the correlation judgment condition?

[0030] Specifically, such as Figure 4 As shown, a meteorological radar beam scanning resolution unit is a relatively large spatial region, while the measurement results from in-situ measurement points can be considered as the results of a point region. Therefore, the measurement result of a single in-situ measurement point may fall into multiple meteorological radar detection data. At the same time, a single meteorological resolution unit, i.e., a single range gate of the radar, will also contain the measurement results of multiple in-situ measurement points. In order to reduce the overlap between the corresponding data of in-situ measurement point measurement results and meteorological radar detection data, a data comparison filter window is set in the range direction. and Assuming that The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data at the location ,and The aircraft is at the in-situ measurement point. q j In-situ measurement results at the location Conduct correlation processing on the overall... Weather radar detection data and The in-situ measurement results are subjected to a cyclic correlation test, and the cyclic correlation test condition is as follows: ; in: This indicates the beamwidth of the airborne weather radar, which can be obtained from the radar's attribute parameters; This indicates the meteorological range resolution of the airborne weather radar; This indicates the maximum correlation time of measurement results from in-situ measurement points. and These are the preset minimum and maximum association distances.

[0031] If in The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data at the location , and in The aircraft was at the in-situ measurement point q j In-situ measurement results at the location If all the above association judgment conditions are met, then it is determined that... Forward-looking detection position of aircraft p i At the in-situ measurement point q j Weather radar detection data at the location , and in The aircraft was at the in-situ measurement point q j In-situ measurement results at the location If a potential relationship exists, then it is determined that no potential relationship exists.

[0032] It should be noted that if Time and The time difference between moments is less than Then the corresponding in-situ measurement point q j If the association is included in the determination, Time and The time difference between moments is greater than Then discard the corresponding in-situ measurement point. q j No association determination is performed at this point.

[0033] Step 6: If in The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Radar detection data at the location , and in The aircraft was at the in-situ measurement point q j In-situ measurement results at the location If no potential relationship exists, then it is determined that... The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Weather radar detection data at the location, and in The aircraft was at the in-situ measurement point q j If there is a potential correlation between the in-situ measurement results at point +1, and if all in-situ measurement points are traversed and none of them satisfy the condition for cyclic correlation, then the correlation is determined iteratively. The aircraft is always in the forward-looking detection position. p i +1 is the in-situ measurement point. q j Radar detection data at the location and in t j The aircraft was at the in-situ measurement point q j The investigation continues until the in-situ measurement results show any potential correlations, and the conditions for cyclic correlation are met after traversing all aircraft positions at all times.

[0034] Step 7: For those with potential relationships The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data at the location and in The aircraft was at the in-situ measurement point q j In-situ measurement results at the location , will The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data at the location , and in The aircraft was at the in-situ measurement point q j In-situ measurement results at the location Perform a one-to-one correlation analysis to obtain information about the in-situ measurement points. q j One-to-one correspondence of meteorological radar detection data and in-situ measurement results.

[0035] Specifically, in step 5, among the data identified as potentially correlated, there are cases where a single in-situ measurement result corresponds to multiple meteorological radar detection data. Therefore, if... Figure 5 As shown, this embodiment uses a matched filtering method to solve this problem, enabling one meteorological radar detection data to correspond to one in-situ measurement result. The matched filtering method includes: S1: Targeting The aircraft was at the in-situ measurement point q j In-situ measurement results at the location The in-situ measurement results Related candidate weather radar detection data The in-situ measurement values ​​that overlap within one beamwidth in azimuth are averaged to obtain the associated candidate weather radar detection data. .

[0036] S2: Based on the in-situ measurement results and the resolution range unit of the weather radar, through Calculate the in-situ measurement sampling point length for length matched filtering. ,in: This represents the sampling rate of the in-situ measurement and is an inherent parameter of the airborne in-situ measurement system. This indicates the meteorological range resolution of the airborne weather radar. This indicates the aircraft's vacuum speed.

[0037] S3: Based on the length of the in-situ measured sampling point Regarding the in-situ measurement results Complete the sliding window Mean filtering is used to obtain The formula is: ; in, express time.

[0038] S4: For sliding windows The in-situ measurement results described in Related candidate weather radar detection data The completed mean filtering calculation yields... The formula is: ; in, This represents the signal-to-noise ratio of the corresponding weather radar measurement results, calculated based on radar signal data; It is the number of associated points of the candidate from the distance.

[0039] S5: Transfer weather radar detection data and in-situ measurement results Save as associated results and output.

[0040] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for correlating airborne meteorological radar detection data and in-situ observation data, characterized in that, include: Based on real-time radar detection data and in-situ measurement data obtained from aircraft along their flight path, the following data is acquired: t i The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Radar detection data, and in t j The aircraft was at the in-situ measurement point q j The in-situ measurement results at the location, and i <j ; Will t i Forward detection position as described at the time p i coordinates of latitude, longitude and altitude t j The in-situ measurement point at the specified time q j The coordinates of the latitude, longitude, and altitude coordinate system are converted to the northeast-sky coordinate system, and the coordinates are determined. t i Forward detection position as described at the time p i With the in-situ measurement point q j The line-of-sight vectors between them; Sure t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the weather radar beam. q j The beam pointing angle, and the in-situ measurement point q j The corresponding range gate is calculated based on the beam pointing angle and the range gate. t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the meteorological radar beam. q j The beam pointing vector; according to t i Forward detection position as described at the time p i With the in-situ measurement point q j line-of-sight vectors between t i The aircraft is always in the forward-looking detection position. p i The in-situ measurement point was scanned by the weather radar beam. q j The beam pointing vector is used to determine the correlation angle between the line-of-sight vector and the beam pointing vector; Based on the preset maximum association distance and t i The vacuum speed of the aircraft at that moment, to obtain t i The maximum correlation time between aircraft weather radar detection data and the in-situ measurement results at any given moment; Judgment in t i The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Radar detection data at the location and in t j The aircraft was at the in-situ measurement point q j Does the in-situ measurement result at the location satisfy the cyclic correlation judgment condition? If in t i The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Radar detection data at the location and in t j The aircraft was at the in-situ measurement point q j If the in-situ measurement results at the location do not show any potential correlation, then it is determined that... t i The aircraft was at the forward-looking detection position p i At the in-situ measurement point q j Weather radar detection data and in t j+1 The aircraft was at the in-situ measurement point q j+1 If there is a potential correlation between the in-situ measurement results at a given location, and if all in-situ measurement points are traversed and none meet the condition for cyclic correlation, then the correlation is iterated over in a loop. t i+1 The aircraft is always in the forward-looking detection position. p i +1 is the in-situ measurement point. q j Radar detection data at the location and in t j The aircraft was at the in-situ measurement point q j The investigation will continue until the aircraft positions at all times are traversed and the conditions for cyclic correlation are met. For those with potential connections t i The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data and in t j The aircraft was at the in-situ measurement point q j The in-situ measurement results at the location will be t i The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data and in t j The aircraft was at the in-situ measurement point q j One-to-one correlation analysis was performed on the in-situ measurement results at the location to obtain information about the in-situ measurement points. q j One-to-one correspondence of meteorological radar detection data and in-situ measurement results.

2. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 1, characterized in that, set up t i Forward detection position as described at the time p i The coordinates in the latitude, longitude and altitude coordinate system are , t j The in-situ measurement point at the specified time q j The coordinates in the latitude, longitude and altitude coordinate system are ,but t i Forward detection position as described at the time p i With the in-situ measurement point q j The line-of-sight vector between them is: in: ; ; ; a , b , e These represent the Earth's semi-major and semi-minor axes and the eccentricity constant used in the Earth coordinate system. a=6378.137km , b=6356.752km, e=8.18192×10 -2 .

3. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 2, characterized in that, The correlation angle between the line-of-sight vector and the beam pointing vector is obtained through... Calculated, where: It is the inverse cosine function; The in-situ measurement line-of-sight vector. The beam pointing vector; The magnitude of the in-situ measurement line-of-sight vector; The magnitude of the beam pointing vector.

4. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 3, characterized in that, The t i The maximum time correlation between aircraft weather radar detection data and in-situ measurement results. Calculated, where: For the maximum associated time; The preset maximum association distance, for t i The vacuum speed of an aircraft at any given moment.

5. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 4, characterized in that, The condition for determining circular association is: ； in: This refers to the beamwidth of the airborne weather radar. The meteorological range resolution of the airborne weather radar; To determine the maximum associated time, and These are the preset minimum and maximum association distances.

6. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 5, characterized in that, In t i The aircraft is always in the forward-looking detection position. p i At the in-situ measurement point q j Weather radar detection data and in t j The aircraft was at the in-situ measurement point q j Methods for performing one-to-one correlation analysis on in-situ measurement results include: S1: Targeting The aircraft was at the in-situ measurement point q j The in-situ measurement results are used to average the associated candidate weather radar detection data that overlap with the in-situ measurement results within one beamwidth in azimuth, and the averaged associated candidate weather radar detection data are obtained. S2: Calculate the sliding window length of the length-matched filter based on the in-situ measurement results and the resolution range unit of the weather radar; S3: Based on the sliding window length, perform mean filtering on the in-situ measurement results to obtain the mean-filtered in-situ measurement results; S4: Calculate the mean value of the associated candidate weather radar detection data after averaging in the sliding window to obtain the mean weather radar detection data. S5: Save the averaged meteorological radar detection data and the averaged filtered in-situ measurement results as a correlation result and output them.

7. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 6, characterized in that, pass Calculate the sliding window length of the length-matched filter, where: The sliding window length for length-matched filtering; Indicates the sampling rate of in-situ measurements; This indicates the meteorological range resolution of the airborne weather radar. This indicates the aircraft's vacuum speed.

8. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 7, characterized in that, pass The in-situ measurement results after mean filtering are calculated, where: The results are in-situ measurements after mean filtering; The in-situ measurement results are before mean filtering; express time; This is the sliding window length for length-matched filtering.

9. The method for correlating airborne meteorological radar detection data and in-situ observation data according to claim 7, characterized in that, The formula for obtaining the average value of the meteorological radar detection data is as follows: ； in, The data is the averaged weather radar data; The data are the mean values ​​of the associated candidate weather radar data. It is the number of associated points of the candidate from the distance; This represents the signal-to-noise ratio of the corresponding weather radar measurement results.

Images