CN-116973921-B - Meteorological data processing method, meteorological data processing device and electronic equipment

CN116973921BCN 116973921 BCN116973921 BCN 116973921BCN-116973921-B

Abstract

A meteorological data processing method, a meteorological data processing device and electronic equipment relate to the technical field of meteorology, and can reduce errors of meteorological data and improve accuracy of the meteorological data. The method comprises the steps of obtaining basic data observed by each weather radar, meshing the basic data to obtain first grid point data of an observation area of each weather radar, determining a fuzzy range of radial speed, carrying out speed deblurring processing on the radial speed in the first grid point data according to the fuzzy range, determining a blocking range of a reflectivity factor, carrying out blocking removal processing on the reflectivity factor in the first grid point data according to the blocking range, meshing the speed deblurring processing and the blocking removal processed first grid point data to obtain second grid point data, merging the second grid point data of each weather radar to obtain weather grid point data of a whole area, and converting the weather grid point data into target data corresponding to a weather forecast system for use by the weather forecast system.

Inventors

LIU RUITING
CHEN MINGXUAN
MA JIANLI
QIN RUI
XIAO XIAN
YANG LU
LI SITENG
YANG MEILIN

Assignees

北京城市气象研究院

Dates

Publication Date: 20260508
Application Date: 20230731

Claims (10)

1.A method of weather data processing, comprising: acquiring base data observed by each weather radar, wherein the base data comprises radial speeds and reflectivity factors of a plurality of elevation angles; The base data are latticed to obtain first lattice point data of an observation area of each weather radar; Determining a blurring range of the radial velocity, and performing velocity deblurring processing on the radial velocity in the first lattice point data according to the blurring range; determining a shielding range of the reflectivity factors, and performing shielding removal processing on the reflectivity factors in the first grid point data according to the shielding range; Performing the first lattice point data after the speed deblurring treatment and the shielding removal treatment again to obtain second lattice point data; Combining the second grid point data of each weather radar to obtain weather grid point data of a whole area; And converting the weather lattice point data into target data corresponding to the weather forecast system for the weather forecast system to use.
2. The method of claim 1, wherein said determining the fuzzy range of the radial velocity comprises: Acquiring scanning configuration information of the weather radar, wherein the scanning configuration information comprises the maximum non-fuzzy speed of the weather radar; and obtaining a target lattice point with the radial speed of the elevation angle exceeding the maximum non-blurring speed in the first lattice point data, and obtaining a blurring range.
3. The method of claim 1, wherein said determining the fuzzy range of the radial velocity comprises: acquiring adjacent grid points with different radial speed directions in the regional grid point data; And determining whether the adjacent lattice points belong to a fuzzy range according to the difference of the radial speeds of the adjacent lattice points.
4. The method of claim 1, wherein the determining the occlusion range of the reflectivity factor comprises: Acquiring historical scanning data of the weather radar; determining the beam shielding rate of a preset elevation angle of the weather radar according to the historical scanning data; And when the beam shielding rate exceeds a shielding threshold value, determining a grid point corresponding to the preset elevation angle in the regional grid point data as a shielding range of a reflectivity factor.
5. The method of claim 1, wherein the converting the weather lattice data into target data corresponding to a weather forecast system comprises: and carrying out interpolation processing on the weather lattice point data according to the spatial resolution of the weather forecast mode to obtain target data matched with the spatial resolution.
6. The method of claim 1, wherein the converting the weather lattice data into target data corresponding to a weather forecast system comprises: Calculating local variance of the weather lattice point data, taking the local variance as an observation error of the weather lattice point data, and assimilating the weather lattice point data based on the observation error to obtain target data.
7. The method according to claim 6, further comprising, after converting the weather lattice data into target data corresponding to a weather forecast system: and when a data calling request of the weather forecast system is received, the target data is sent to the weather forecast system.
8. A weather data processing apparatus, comprising: The data acquisition module is used for acquiring base data observed by each weather radar, and the base data comprises radial speeds and reflectivity factors of a plurality of elevation angles; the first latticing module is used for latticing the base data to obtain first latticed data of the observation area of each weather radar; the deblurring module is used for determining a blurring range of the radial speed, and carrying out speed deblurring processing on the radial speed in the first lattice point data according to the blurring range; The shielding removal processing module is used for determining the shielding range of the reflectivity factors and carrying out shielding removal processing on the reflectivity factors in the first grid point data according to the shielding range; the second gridding module is used for gridding the first gridding data after the speed deblurring processing and the shielding removal processing again to obtain second gridding data; The merging module is used for merging the second grid point data of each weather radar to obtain weather grid point data of a whole area; and the data output module is used for converting the weather lattice point data into target data corresponding to the weather forecast system for the weather forecast system to use.
9. An electronic device comprising a processor and a memory, the memory having stored therein one or more computer programs, the one or more computer programs comprising instructions, which when executed by the electronic device, cause the electronic device to perform the weather data processing method of any of claims 1-7.
10. A computer readable medium having instructions stored therein, which when run on an electronic device, cause the electronic device to perform the weather data processing method of any of claims 1-7.

Description

Meteorological data processing method, meteorological data processing device and electronic equipment Technical Field The present application relates to the field of data processing technologies, and in particular, to a meteorological data processing method and a meteorological data processing device. Background The radar meteorological technology is to observe the atmospheric environment by using a radar and acquire information such as cloud cover, precipitation and the like so as to predict future weather conditions. The weather forecast system can acquire data observed by the radar and forecast weather conditions by utilizing the data observed by the radar so as to be displayed to a user. The data of radar observation is different from the data of a weather forecast system in format, and the weather forecast system needs to perform format conversion on the radar observation data, for example, convert radar base data into LittleR format. In general, each weather forecast system only processes the observation data of the prediction area related to the weather forecast system, if the prediction areas overlap, the observation data is repeatedly processed, so that the data processing efficiency is low. In addition, the observation error is one of important aspects of assimilating meteorological observation data in the weather forecast mode, and if true and reliable observation error data exist, the forecast effect of the weather forecast mode can be improved. Disclosure of Invention The application provides a meteorological data processing method, a meteorological data processing device and electronic equipment, which can improve the processing efficiency of radar data. The application provides a weather data processing method, which comprises the steps of obtaining base data observed by each weather radar, wherein the base data comprises radial speeds and reflectivity factors of a plurality of elevation angles, conducting latticing on the base data to obtain first lattice point data of an observation area of each weather radar, determining a fuzzy range of the radial speeds, conducting speed deblurring processing on the radial speeds in the first lattice point data according to the fuzzy range, determining an occlusion range of the reflectivity factors, conducting occlusion removal processing on the reflectivity factors in the first lattice point data according to the occlusion range, conducting latticing on the speed deblurring processing and the first lattice point data after the occlusion removal processing again to obtain second lattice point data, combining the second lattice point data of each weather radar to obtain weather lattice point data of a whole area, and converting the weather lattice point data into target data corresponding to a weather forecast system for use. According to the scheme, the base data observed by the weather radar is latticed to obtain regional lattice data, the speed deblurring processing can be carried out on the data in the fuzzy range according to the fuzzy range of the radial speed, the accuracy and the reliability of the data can be improved, and the error of weather prediction can be reduced. According to the shielding range of the reflectivity factors, the reflectivity factors in the shielding range can be processed, and inaccurate data of the reflectivity factors can be reduced. And then, the second grid point data of each radar can be combined to obtain the weather grid point data of the whole area, the weather grid point data is converted according to the weather forecast system and is directly used by the weather forecast system, the weather forecast system is prevented from processing the data, the data processing process can be reduced, and the data processing efficiency is improved. In addition, the application can process the base data observed by each radar at the same time to obtain the target data of the whole area, and the target data can provide data basis for a plurality of weather forecast systems at the same time, thereby further improving the data processing efficiency. In one possible implementation manner of the application, the determining the fuzzy range of the radial velocity comprises the steps of obtaining scanning configuration information of the weather radar, wherein the scanning configuration information comprises the maximum non-fuzzy velocity of the weather radar, and obtaining a target lattice point with the radial velocity of an elevation angle exceeding the maximum non-fuzzy velocity in the first lattice point data, so as to obtain the fuzzy range. In one possible implementation manner of the application, the determining the fuzzy range of the radial velocity comprises the steps of acquiring adjacent grid points with different radial velocity directions in the regional grid point data, and determining whether the adjacent grid points belong to the fuzzy range according to the difference of the radial velocities of the adjacent grid poi