Weather radar consistency evaluation method and device based on raindrop spectrum parameters
By performing quality control, spatial matching, and temporal matching on raindrop spectrometer and weather radar data, the technical gap in raindrop spectral parameter consistency assessment was filled, data quality was improved, and efficient data support was provided for meteorological services.
Patent Information
- Application Number
- CN202511512890.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-22
- Publication Date
- 2026-01-20
AI Technical Summary
Existing technologies lack a consistent evaluation method for raindrop spectral parameters-radar reflectivity factor products, especially in terms of applicability to solid precipitation conditions, and the data quality of raindrop spectrometer networks at ground meteorological stations needs further verification.
By acquiring raindrop spectrometer data and weather radar data, and performing quality control processing, data matching is performed based on preset spatial matching rules and temporal matching rules. Finally, the matched raindrop spectral parameters are evaluated based on evaluation rules to achieve a consistent evaluation of the raindrop spectral parameters.
It has achieved cross-validation of data matching between ground meteorological observation equipment and new-generation weather radar, improved the quality of raindrop spectral parameter data, and provided high-quality data support for meteorological monitoring, forecasting and decision-making services.
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Abstract
Description
TECHNICAL FIELD
[0001] The present disclosure relates to the technical field of data processing, in particular to the technical field of atmospheric sounding, and more particularly to a weather radar consistency evaluation method and device based on raindrop spectrum parameters. BACKGROUND
[0002] The distribution of the number density of raindrops of various diameters in a raindrop group with respect to the diameter is referred to as a raindrop spectrum, also known as a raindrop size distribution. The general form of the raindrop spectrum is that the number density decreases rapidly with the increase of the diameter, and the maximum raindrop diameter is referred to as the spectrum width, which is generally 2-3 mm and rarely exceeds 6 mm. The raindrop spectrum is the comprehensive result of the processes of raindrop generation, falling, growth, fragmentation, evaporation, etc., which are different with the type of cloud and the precipitation mechanism, and can also have obvious changes in a rainfall. For example, the raindrop spectrum of the array precipitation is generally wider, and the number density decreases more slowly with the decrease of the diameter; the raindrop spectrum of the continuous precipitation is narrower, and the number density decreases more steeply with the decrease of the diameter. The raindrop spectrum parameters can be calculated from the national ground meteorological observation equipment - raindrop spectrometer and the new generation weather radar. At present, as for the raindrop spectrometer, the national ground meteorological station raindrop spectrometer network including more than 2000 raindrop spectrometers of type 100 and type 200 has been deployed and completed, and is officially applied in business, and the radar reflectivity factor (dBZ), precipitation intensity (R), mass-weighted mean diameter (Dm), generalized intercept parameter (LgNw) and time resolution of 1 min can be obtained by inversion from the ground raindrop spectrometer equipment; as for the new generation weather radar, more than 200 Doppler new generation weather radars have been deployed and completed, and the radar reflectivity factor (Z) can be obtained by inversion, and the time resolution is 5 min.
[0003] However, the current technology is mainly aimed at liquid precipitation, and the technical applicability of solid precipitation still needs further research, and the data quality of the national ground meteorological station raindrop spectrometer network still needs further verification, therefore, at present, there is a lack of consistency evaluation method for raindrop spectrum parameters - radar reflectivity factor product (dBZ). SUMMARY
[0004] The present disclosure provides a weather radar consistency evaluation method and device based on raindrop spectrum parameters, equipment and storage medium.
[0005] According to a first aspect of the present disclosure, a weather radar consistency evaluation method based on raindrop spectrum parameters is provided. The method comprises: obtaining raindrop spectrometer data and weather radar data; performing quality control processing on the raindrop spectrometer data; based on a preset spatial matching rule, performing spatial matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data, to obtain radar reflectivity factor values and scanning times of the weather radar corresponding to the raindrop spectrometer positions; According to the radar reflectivity factor data time matching rule, the weather radar data and the raindrop spectrometer data after the quality control are matched in radar reflectivity factor data time according to the radar reflectivity factor value of the weather radar corresponding to the raindrop spectrometer position and the scanning time, so that matched raindrop spectrum parameters are obtained. According to the preset evaluation rule, the matched raindrop spectrum parameters are evaluated.
[0006] According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. The raindrop spectrometer data is processed in data quality control processing and channel quality control processing per minute.
[0007] According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. The channel quality control processing includes: removing the precipitation particles with a precipitation particle diameter greater than 8 mm after shape correction; removing the precipitation particles in the first two channels; removing the precipitation particles outside 60% of the diameter and speed relationship; and removing the precipitation particles with a falling speed greater than 5 m / s from the classical falling speed.
[0008] According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed.
[0009] According to the raindrop spectrometer data quality control processing, the raindrop spectrometer data is processed. According to the elevation and horizontal distance of each precipitation particle in the quality-controlled raindrop spectrometer data to the weather radar center point, the slant range is calculated; According to the slant range and the distance bin length, the corresponding distance bin is determined, and the radar reflectivity factor value and the scanning time of the bin are obtained.
[0010] According to any possible implementation of the aspect above, an implementation is further provided, wherein the preset time matching rule comprises: According to the scanning time, the radar reflectivity factor value of the corresponding weather radar at the corresponding raindrop spectrometer time is obtained. The radar reflectivity factor value of the weather radar at the corresponding raindrop spectrometer position is matched with the radar reflectivity factor value of the corresponding weather radar at the corresponding raindrop spectrometer time.
[0011] According to any possible implementation of the aspect above, an implementation is further provided, wherein the preset evaluation index of the preset evaluation rule comprises a correlation coefficient, a root mean square error, a mean absolute error, and a relative error, and the preset evaluation dimension of the preset evaluation rule comprises a regional dimension, an altitude dimension, a seasonal dimension, and an overall dimension.
[0012] According to a second aspect of the present disclosure, a weather radar consistency evaluation device based on raindrop spectrum parameters is provided. The device comprises: An acquisition module is configured to acquire raindrop spectrometer data and weather radar data; A processing module is configured to perform quality control processing on the raindrop spectrometer data; A matching module is configured to perform spatial matching of radar reflectivity factor data based on a preset spatial matching rule, to obtain a radar reflectivity factor value of the weather radar at a corresponding raindrop spectrometer position and a scanning time, by matching the weather radar data and the quality-controlled raindrop spectrometer data. The matching module is further configured to perform time matching of radar reflectivity factor data based on a preset time matching rule, to obtain matched raindrop spectrum parameters, by matching the weather radar data and the quality-controlled raindrop spectrometer data according to the radar reflectivity factor value of the weather radar at the corresponding raindrop spectrometer position and the scanning time. An evaluation module is configured to evaluate the matched raindrop spectrum parameters based on a preset evaluation rule.
[0013] According to a third aspect of the present disclosure, an electronic device is provided. The electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method as described above when executing the program.
[0014] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, and the program is executed by a processor to implement the method as described above.
[0015] The embodiment of the application provides a weather radar consistency evaluation method and device based on raindrop spectrum parameters, equipment and a storage medium, which can obtain raindrop spectrometer data and weather radar data; then the raindrop spectrometer data is subjected to quality control processing; then, based on a preset space matching rule, the weather radar data and the quality-controlled raindrop spectrometer data are subjected to space matching of radar reflectivity factor data, so as to obtain radar reflectivity factor values and scanning times of the weather radar corresponding to raindrop spectrometer positions; then, based on a preset time matching rule, the weather radar data and the quality-controlled raindrop spectrometer data are subjected to time matching of radar reflectivity factor data according to the radar reflectivity factor values of the weather radar corresponding to the raindrop spectrometer positions and the scanning times, so as to obtain matched raindrop spectrum parameters; then, based on a preset evaluation rule, the matched raindrop spectrum parameters are evaluated; based on this, the ground meteorological observation equipment-raindrop spectrometer and the new generation weather radar can be matched and cross-validated by using the different inversion data and telemetry data of the two observation platforms and observation inversion methods, the similarities and differences are analyzed, and finally, the analysis and verification of the weather radar based on the raindrop spectrum parameter data are established, the joint diagnosis is completed, and the matching and evaluation of the raindrop spectrum parameters are formed, so as to provide high-quality raindrop spectrum parameter data and product support for meteorological real-time monitoring, prediction and decision service.
[0016] It should be understood that the content described in the summary section is not intended to limit the key or important features of the embodiments of the present disclosure, nor to limit the scope of the present disclosure. Other features of the present disclosure will become apparent through the following description. BRIEF DESCRIPTION OF DRAWINGS
[0017] The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by describing in detail the following embodiments with reference to the attached drawings. The drawings are intended to better understand the present disclosure and do not limit the present disclosure. In the drawings, the same or similar reference numerals refer to the same or similar elements, and Figure 1 A flowchart of a weather radar consistency evaluation method based on raindrop spectrum parameters according to an embodiment of the present disclosure is shown; Figure 2 A space matching schematic diagram according to an embodiment of the present disclosure is shown; Figure 3 A block diagram of a weather radar consistency evaluation device based on raindrop spectrum parameters according to an embodiment of the present disclosure is shown; Figure 4 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION
[0018] In order to make the purposes, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be described clearly and completely below with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present disclosure.
[0019] In addition, the term "and / or" in this paper is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are in an "or" relationship.
[0020] In the present disclosure, the two observation platforms and observation inversion methods can be matched and cross-validated for the ground meteorological observation equipment-raindrop spectrometer and the new generation weather radar, the similarities and differences are analyzed, and finally the analysis and verification for the weather radar are established based on the raindrop spectrum parameter data, the joint consultation is completed, the matching and evaluation for the raindrop spectrum parameter are formed, and thus high-quality raindrop spectrum parameter data and product support are provided for meteorological real-time monitoring, forecasting and decision-making services.
[0021] Figure 1 A flowchart of a weather radar consistency evaluation method 100 based on raindrop spectrum parameters according to an embodiment of the present disclosure is shown.
[0022] In block 110, raindrop spectrometer data and weather radar data are obtained.
[0023] In some embodiments, the raindrop spectrometer data can be obtained by using raindrop spectrometers of model 100 and model 200 of automatic weather stations, and the data is obtained from the parameter products after quality control, one TXT file is generated every 1 day, containing 20:01 of the previous day to 20:00 of the current day minute-by-minute data, and the time resolution is 1 minute. The models include: CJY-2J, DSG1, DSG2, DSG3, DSG4, DSG5, HY-MPW11 and MAWS110, among which DSG3 is model 200, a total of 225, and the others are model 100.
[0024] In some embodiments, the weather radar data can be obtained by using new generation weather radar data sources, such as HBR products of single station data of new generation weather radar after quality control, one file every 5 minutes, which is used for matching and evaluation of reflectivity factor inversion with raindrop spectrum.
[0025] In block 120, the raindrop spectrometer data is subjected to quality control processing.
[0026] In some embodiments, to adapt weather radar data and improve data evaluation quality, 100 and 200 model raindrop spectrometer Bufr files can be processed to generate minute-by-minute spectral data for quality control.
[0027] In some embodiments, the quality control processing of the raindrop spectrometer data includes: minute-by-minute data quality control processing and channel quality control processing of the raindrop spectrometer data.
[0028] In some embodiments, the bin files are parsed to generate source data files. For example, the 100 model raindrop spectrometer has 32 (particle diameter channel 0.062-24.5 mm) * 32 (particle velocity channel 0.05-20.8 m / s) channels, and the sampling area is 54 mm 2 ; the 200 model has 22 (particle diameter channel 0.062-7.75 mm) * 20 (particle velocity channel 0.1-10.0 m / s) channels, and the sampling area is 48 mm 2 , and the sampling time of both models is 1 min.
[0029] In some embodiments, the data quality control processing includes: determining whether the number of precipitation particles is greater than a first threshold value and whether the rain intensity is greater than or equal to a second threshold value; if the conditions are met, the data is subjected to channel quality control processing, and if the conditions are not met, the process is ended; if the minute data is missing, the process is ended.
[0030] In some embodiments, the channel quality control processing includes: removing precipitation particles with a precipitation particle diameter greater than 8 mm after shape correction; removing the first 2 channels of precipitation particles; removing precipitation particles outside the 60% of the diameter and velocity relationship; and removing precipitation particles with a precipitation particle falling speed greater than 5 m / s from the classical falling speed.
[0031] In some embodiments, the first threshold value and the second threshold value can be set according to actual user needs. For example, the data quality control processing can include: determining whether the number of precipitation particles is greater than 50 and whether the rain intensity is greater than or equal to 0.01; if the conditions are met, the data is subjected to channel quality control processing, and if the conditions are not met, the process is ended; if the minute data is missing, the process is ended.
[0032] In some embodiments, the parameter data can be calculated by inversion to generate parameters. Taking the 100 model raindrop spectrometer as an example, the quality-controlled raindrop spectrometer data includes the total number of precipitation particles, the raindrop spectrum, the rain intensity, and the radar reflectivity factor; wherein the radar reflectivity factor includes: The rain intensity includes: The raindrop spectrum includes: The total number of precipitation particles includes: wherein, Z represents the radar reflectivity factor (unit: mm 6 m -3 ) and R represents the rain intensity (unit: mm h -1 ), N represents the raindrop spectrum (unit: m -3 mm -1 ) and num represents the total number of precipitation particles (unit: pieces / min), Nij represents the measured number of precipitation particles of the i-th size range and the j-th speed range, Vj represents the terminal falling speed of the j-th range of precipitation particles (unit: m s -1 ), Di represents the i-th particle size channel width (unit: mm), T represents the sampling time (unit: s), A represents the sampling area (unit: mm 2 ).
[0033] It should be noted that for the 200-type raindrop spectrometer, the maximum value of i is set to 22 and the maximum value of j is set to 20.
[0034] In some embodiments, a verification analysis method of the weather radar can be constructed based on the characteristic parameter data of the ground-based raindrop spectrometer, so as to realize matching inspection and quantitative evaluation of the radar reflectivity factor data.
[0035] In block 130, the weather radar data and the raindrop spectrometer data after quality control are subjected to spatial matching of the radar reflectivity factor data based on a preset spatial matching rule, so as to obtain the radar reflectivity factor value and the scanning time of the weather radar corresponding to the raindrop spectrometer position.
[0036] In some embodiments, when the weather radar data and the raindrop spectrometer data after quality control are subjected to spatial matching of the radar reflectivity factor data, the distance and direction on the weather radar can be calculated according to the longitude and latitude of the raindrop spectrum, and the data 20-30 km away from the weather radar is selected. It should be noted that there is no shelter for the weather radar at the position of the raindrop spectrometer.
[0037] In some embodiments, the weather radar data can be parsed to obtain the weather radar basic information and the weather radar radial data, so as to facilitate subsequent spatial matching.
[0038] In some embodiments, the preset space matching rule can be set according to actual needs and scene needs of the user.
[0039] In some embodiments, the preset space matching rule includes: According to the latitude and longitude of the raindrop spectrometer, the distance and azimuth of the weather radar are calculated, and the radial data of the weather radar within a preset distance range from the weather radar and without occlusion at the position of the raindrop spectrometer are determined; According to the preset elevation angle, the radial data corresponding to the elevation angle is determined from the radial data of the weather radar; and according to the preset azimuth angle, the radial data corresponding to the azimuth angle is determined from the radial data of the weather radar; According to the elevation angle and horizontal distance of each precipitation particle to the center point of the weather radar in the quality-controlled raindrop spectrometer data, the corresponding distance library is determined from the radial data corresponding to the elevation angle and the radial data corresponding to the azimuth angle, and the radar reflectivity factor value and scanning time of the distance library are obtained, to obtain the radar reflectivity factor value and scanning time of the weather radar corresponding to the position of the raindrop spectrometer.
[0040] In some embodiments, the radial data of the elevation angle layer can be directly or indirectly obtained according to the elevation angle. For example, the radial data of the elevation angle layer can be directly obtained according to the elevation angle. For example, the input elevation angle is 0.5, the weather radar reads the elevation angle as 0.5, which is exactly matched, so the 0.5 elevation angle is selected. For another example, the closest elevation angle can also be selected according to the input elevation angle and the weather radar elevation angle information. For example, the input elevation angle is 0.5, the weather radar reads the elevation angle as 0.45, which is not exactly matched with 0.5, so the 0.45 elevation angle is selected.
[0041] In some embodiments, the radial data can be obtained according to the input azimuth angle. For example, according to the input azimuth angle, the nearest azimuth angle is found, and the corresponding radial data is obtained according to the azimuth angle.
[0042] In some embodiments, the corresponding library can be obtained according to the input distance and elevation angle, and the radar reflectivity factor value of the library is read. For example, the input is the horizontal distance (the distance to the center point of the weather radar), and the distance in the radial direction (i.e., the slant range) is calculated according to the horizontal distance and the radar elevation angle.
[0043] In some embodiments, the above determining the corresponding distance library from the radial data corresponding to the elevation angle and the radial data corresponding to the azimuth angle according to the elevation angle and the horizontal distance of each precipitation particle to the center point of the weather radar in the quality-controlled raindrop spectrometer data, and obtaining the radar reflectivity factor value and the scanning time of the library includes: The slant range is calculated according to the elevation angle and the horizontal distance of each precipitation particle to the center point of the weather radar in the quality-controlled raindrop spectrometer data; According to the slant range and the distance bin length, a corresponding distance bin is determined, and radar reflectivity factor values and scanning times of the bin are obtained.
[0044] As shown in Figure 2 , the control condition can be set as data within a range of 20-30 km from the ground surface to the weather radar center point, the input condition can be elevation angle (0.5 degrees), horizontal distance / azimuth angle, and the output can be radar reflectivity factor values of the bin and scanning times of the radial direction. Among them, the weather radar is 360 horizontal scanning.
[0045] In some embodiments, obtaining the radar reflectivity factor values and the scanning times of the bin specifically includes: 1. Calculate the slant range according to the input distance and elevation angle; slant range = distance / cos(elevation angle); 2. Obtain the bin index according to the slant range and the bin length; bin number = slant range / bin length; bin index = bin number-1; 3. Read the radar reflectivity factor values of the bin and the scanning times of the radial direction according to the bin index.
[0046] In block 140, based on a preset time matching rule, the weather radar data and the quality-controlled raindrop spectrometer data are matched in radar reflectivity factor data time according to the radar reflectivity factor values and the scanning times of the weather radar corresponding to the raindrop spectrometer position, and matched raindrop spectrum parameters are obtained.
[0047] In some embodiments, based on the radar reflectivity factor values and the scanning times of the weather radar corresponding to the raindrop spectrometer position obtained through spatial matching, the radar reflectivity factor values of the corresponding raindrop spectrometer corresponding to the time of the weather radar can be further obtained according to the scanning time, matched, and a matched sample set, i.e., matched raindrop spectrum parameters, is formed.
[0048] In some embodiments, the preset time matching rule can be set according to actual needs and scene needs of users.
[0049] In some embodiments, the above-mentioned preset time matching rule includes: obtaining radar reflectivity factor values of the corresponding raindrop spectrometer corresponding to the time of the weather radar according to the scanning time; matching the radar reflectivity factor values of the weather radar corresponding to the raindrop spectrometer position with the radar reflectivity factor values of the raindrop spectrometer corresponding to the time of the weather radar.
[0050] In block 150, the matched raindrop spectrum parameters are evaluated based on a preset evaluation rule.
[0051] In some embodiments, the preset evaluation rule can be set according to actual needs and scene needs of users.
[0052] In some embodiments, the preset evaluation indexes of the preset evaluation rules include a correlation coefficient, a root mean square error, a mean absolute error, and a relative error, and the preset evaluation dimensions of the preset evaluation rules include a regional dimension, an altitude dimension, a seasonal dimension, and an overall dimension.
[0053] In some embodiments, the correlation coefficient (R), the root mean square error (RMSE), the mean absolute error (MAE), and the relative error (RE) of all parameter instantaneous value sample data or parameter average value sample data in the evaluation time period can be calculated, and the correlation evaluation calculation formula is as follows: 1. Root mean square error (RMSE): 2. Correlation coefficient (R): 3. Mean absolute error (MAE): 4. Relative error (RE): wherein N is the number of matching samples, i is the matching sample serial number, is the value obtained by the raindrop spectrometer, and the average value is , is the value obtained by the weather radar, and the average value is .
[0054] In some embodiments, the overall evaluation includes calculating the overall evaluation result according to the evaluation formula by using all matching data samples and ground-based data samples.
[0055] In some embodiments, the regional evaluation includes dividing all matching data samples into seven different groups of samples according to the regions to which the ground-based stations belong, i.e., southwest, northwest, southeast, northeast, South China, North China, and Central China, and calculating the regional evaluation result according to the evaluation formula.
[0056] In some embodiments, the provincial evaluation includes dividing all matching data samples into 34 different groups of samples according to the provinces to which the ground-based stations belong, and calculating the provincial evaluation result according to the evaluation formula.
[0057] In some embodiments, the altitude evaluation includes dividing all matching data samples into different groups of samples according to the geographical altitudes at which the ground-based stations are located (accurate to meters), and calculating the altitude evaluation result according to the evaluation formula.
[0058] In some embodiments, the different-season evaluation includes: dividing all the matched data samples into different groups according to seasons to which the sample data times belong, the season rules are as shown in Table 1, and the different-season evaluation results are calculated according to the evaluation formula.
[0059] Table 1: Season rules As can be seen from the above, since different observation instruments need to be matched and evaluated, the above process mainly realizes the following functions: 1. Quality control of ground raindrop spectrometer data; 2. Matching with new generation weather radar for radar reflectivity factor data; 3. Evaluation of matched raindrop spectrum parameters.
[0060] According to the embodiments of the present disclosure, the following technical effects are achieved: By obtaining raindrop spectrometer data and weather radar data, performing quality control on the raindrop spectrometer data, performing spatial matching of the weather radar data and the quality-controlled raindrop spectrometer data based on a preset spatial matching rule to obtain radar reflectivity factor values and scanning times of the weather radar corresponding to the raindrop spectrometer position, performing time matching of the weather radar data and the quality-controlled raindrop spectrometer data based on a preset time matching rule according to the radar reflectivity factor values and the scanning times of the weather radar corresponding to the raindrop spectrometer position to obtain matched raindrop spectrum parameters, and performing evaluation on the matched raindrop spectrum parameters based on a preset evaluation rule, the two observation platforms and observation inversion methods can be matched and cross-validated for ground meteorological observation equipment-raindrop spectrometer and new generation weather radar, the similarities and differences can be analyzed, and finally the analysis and verification for the weather radar can be established based on the raindrop spectrum parameter data to complete the joint consultation, form the matching and evaluation for the raindrop spectrum parameters, and thus high-quality raindrop spectrum parameter data and product support can be provided for meteorological real-time monitoring, prediction and decision-making services.
[0061] It should be further noted that the raindrop spectrum parameter data quality control and consistency comparison analysis can realize the national ground meteorological station raindrop spectrometer network data-radar joint cross-verification, and has higher time resolution and spatial resolution, which is applied to meteorological data and has the advantages of improving data quality and usability.
[0062] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a combination of a series of actions, but those skilled in the art should know that the disclosure is not limited by the order of the described actions, because according to the disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the disclosure.
[0063] The above is the introduction of the method embodiment, and the scheme of the disclosure is further described through the device embodiment.
[0064] Figure 3 A block diagram of a weather radar consistency evaluation device 300 based on raindrop spectrum parameters according to an embodiment of the disclosure is shown. As shown in the figure, Figure 3 the device 300 includes: An acquisition module 310, configured to acquire raindrop spectrometer data and weather radar data; A processing module 320, configured to perform quality control processing on the raindrop spectrometer data; A matching module 330, configured to perform spatial matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data based on a preset spatial matching rule, to obtain radar reflectivity factor values and scanning times of the weather radar corresponding to raindrop spectrometer positions; The matching module 330 is also configured to perform time matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data based on a preset time matching rule according to the radar reflectivity factor values of the weather radar corresponding to the raindrop spectrometer positions and the scanning times, to obtain matched raindrop spectrum parameters; An evaluation module 340, configured to evaluate the matched raindrop spectrum parameters based on a preset evaluation rule.
[0065] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described modules can refer to the corresponding process in the foregoing method embodiments, which will not be described here.
[0066] In the technical scheme of the disclosure, the acquisition, storage and application of user personal information involved all comply with the relevant legal regulations and do not violate public order and good customs.
[0067] According to the embodiments of the disclosure, the disclosure further provides an electronic device, a readable storage medium and a computer program product.
[0068] Figure 4 The foregoing is only a description of the preferred embodiments of the disclosure. Those skilled in the art can make modifications and improvements without departing from the principle of the disclosure. Therefore, the protection scope of the disclosure should not be limited to the preferred embodiments described in the specification.A block diagram of an exemplary electronic device 400 capable of implementing embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present disclosure described and / or claimed in this document.
[0069] The electronic device 400 includes a computing unit 401 that can perform various appropriate actions and processes in accordance with a computer program stored in a ROM 402 or a computer program loaded from the storage unit 408 into a RAM 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. An I / O interface 405 is also connected to the bus 404.
[0070] Various components in the electronic device 400 are connected to the I / O interface 405, including an input unit 406, such as a keyboard, a mouse, and the like; an output unit 407, such as various types of displays, speakers, and the like; a storage unit 408, such as a magnetic disk, an optical disk, and the like; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 409 allows the electronic device 400 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.
[0071] The computing unit 401 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, and the like. The computing unit 401 performs various methods and processes described above, such as the method 100. For example, in some embodiments, the method 100 can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 408.
[0072] In some embodiments, parts or all of the computer program can be loaded onto the electronic device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded onto the RAM 403 and executed by the computation unit 401, one or more steps of the above-described method 100 can be performed. Alternatively, in other embodiments, the computation unit 401 can be configured to perform the method 100 by other any suitable means, for example by means of firmware.
[0073] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
[0074] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces the functions / operations specified in the flowcharts and / or the block diagrams. The program code can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.
[0075] In the context of this disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0076] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
[0077] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.
[0078] The computer system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server can arise by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, a server of a distributed system, or a server combined with a blockchain.
[0079] It should be understood that the various forms of flow shown above can be used to reorder, add, or remove steps. For example, the steps recited in the present disclosure can be performed in parallel, in series, or in a different order, as long as the desired results of the technology disclosed in the present disclosure are achieved, which is not limited herein.
[0080] The specific implementation described above does not constitute a limitation on the protection scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present disclosure shall be included in the protection scope of the present disclosure.
Claims
1. A weather radar consistency assessment method based on raindrop spectrum parameters, characterized in that, The method comprises the following steps: acquiring raindrop spectrometer data and weather radar data; performing quality control processing on the raindrop spectrometer data; based on a preset spatial matching rule, performing spatial matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data to obtain radar reflectivity factor values and scanning times of the weather radar corresponding to the raindrop spectrometer position; based on a preset time matching rule, performing time matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data according to the radar reflectivity factor values of the weather radar corresponding to the raindrop spectrometer position and the scanning times to obtain matched raindrop spectrum parameters; based on a preset evaluation rule, evaluating the matched raindrop spectrum parameters.
2. The method of claim 1, wherein, The quality control processing on the raindrop spectrometer data comprises the following steps: performing data quality control processing and channel quality control processing on the raindrop spectrometer data minute by minute.
3. The method of claim 2, wherein, The data quality control processing comprises the following steps: determining whether the number of precipitation particles is greater than a first threshold value and whether the rain intensity is greater than or equal to a second threshold value; if yes, performing channel quality control processing on the data; if no, ending; if the minute data is missing, ending; the channel quality control processing comprises the following steps: removing precipitation particles with a diameter greater than 8 mm after shape correction; removing precipitation particles in the first two channels; removing precipitation particles outside the 60% of the diameter-velocity relationship; removing precipitation particles with a falling speed greater than 5 m / s from the classical falling speed.
4. The method of claim 1, wherein, The preset spatial matching rule comprises the following steps: calculating the range and azimuth of the weather radar according to the longitude and latitude of the raindrop spectrometer, determining the weather radar radial data within a preset distance range from the weather radar and without occlusion at the position of the raindrop spectrometer; determining the radial data corresponding to a preset elevation angle from the weather radar radial data and determining the radial data corresponding to a preset azimuth angle from the weather radar radial data; determining the corresponding distance library from the radial data corresponding to the elevation angle and the radial data corresponding to the azimuth angle according to the elevation angle and the horizontal distance of each precipitation particle in the quality-controlled raindrop spectrometer data to the center point of the weather radar, and obtaining the radar reflectivity factor values and the scanning times of the distance library to obtain the radar reflectivity factor values and the scanning times of the weather radar corresponding to the raindrop spectrometer position.
5. The method of claim 4, wherein, The determination of the corresponding distance library from the radial data corresponding to the elevation angle and the radial data corresponding to the azimuth angle according to the elevation angle and the horizontal distance of each precipitation particle in the quality-controlled raindrop spectrometer data to the center point of the weather radar, and the obtaining of the radar reflectivity factor values and the scanning times of the distance library comprises the following steps: calculating the slant range according to the elevation angle and the horizontal distance of each precipitation particle in the quality-controlled raindrop spectrometer data to the center point of the weather radar; determining the corresponding distance library according to the slant range and the length of the distance library, and obtaining the radar reflectivity factor values and the scanning times of the distance library.
6. The method of claim 5, wherein, The preset time matching rule comprises the following steps: obtaining the radar reflectivity factor values of the corresponding weather radar at the corresponding raindrop spectrometer time according to the scanning times; matching the radar reflectivity factor values of the weather radar corresponding to the raindrop spectrometer position with the radar reflectivity factor values of the raindrop spectrometer corresponding to the weather radar time.
7. The method according to any one of claims 1 to 6, characterized in that, The preset evaluation indexes of the preset evaluation rule include a correlation coefficient, a root mean square error, a mean absolute error, and a relative error, and preset evaluation dimensions of the preset evaluation rule include a regional dimension, an altitude dimension, a seasonal dimension, and an overall dimension.
8. A weather radar consistency assessment apparatus based on raindrop spectrum parameters, characterized by, Comprise: An acquisition module, configured to acquire raindrop spectrometer data and weather radar data; A processing module, configured to perform quality control processing on the raindrop spectrometer data; A matching module, configured to perform spatial matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data based on a preset spatial matching rule, to obtain radar reflectivity factor values and scanning times of weather radar corresponding raindrop spectrometer positions; The matching module is further configured to perform time matching of radar reflectivity factor data on the weather radar data and the quality-controlled raindrop spectrometer data based on a preset time matching rule, according to the radar reflectivity factor values of the weather radar corresponding raindrop spectrometer positions and the scanning times, to obtain matched raindrop spectrum parameters; An evaluation module, configured to evaluate the matched raindrop spectrum parameters based on a preset evaluation rule.
9. An electronic device, comprising: Comprise: At least one processor; And A memory connected in communication with the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A non-transitory computer-readable storage medium having stored thereon computer instructions, wherein, The computer instructions are used to enable the computer to perform the method according to any one of claims 1-7.