Upper-air wind retrieval method based on Doppler weather radar data

Abstract

The invention proposes an upper-altitude wind inversion method based on Doppler weather radar data. The method utilizes Doppler weather radar extrapolation products and radial velocity products, as well as radiosonde data to carry out multi-level upper-altitude wind field fusion. The invention utilizes the extrapolation result of the radar echo image to transform the average radial velocity field of each elevation plane into a velocity vector field with U and V components, thereby improving the readability of the subjective analysis of the high-altitude wind field. The radar wind field is properly corrected by using the sounding data, and the strength of the correction decreases with the increase of the distance between the radar grid point and the sounding station, so that the wind field has better integrity and continuity, and is more in line with the actual atmosphere The condition of the wind field. Compared with some multivariate data fusion methods, the present invention has moderate computational complexity and can improve the timeliness of radar secondary wind field output.

Description

technical field [0001] The invention belongs to the field of earth science, and in particular relates to a method for performing multi-level high-altitude wind inversion using detection data such as Doppler weather radar. Background technique [0002] High-altitude wind field characteristics are one of the important objects for weather diagnosis and analysis, and play a vital role in the fields of meteorology, military and aerospace. At present, there are many ways to obtain the atmospheric wind field over the earth, such as observation or detection with equipment such as sounding balloons, Doppler weather radars, wind profiler radars, and meteorological satellites. These devices and technical means have their own advantages. Among them, Doppler weather radar (hereinafter referred to as radar) has the characteristics of high detection spatial resolution, fast data update frequency and strong effectiveness. Forecasting and other aspects have been widely studied and applied. ...

AI Technical Summary

Problems solved by technology

Due to the complexity of the weather system and the limitations of existing technical means, in actual business applications, there are still some defects and deficiencies in the inversion of the high-altitude live wind field

For example, it is relatively simple to use only the reflectivity factor and average radial velocity of a single radar to invert the wind field. The performance of the wind field is less accurate

Another example is the fusion of multivariate data such as radar radial velocity and cloud trail wind or water vapor conduction wind. This type of method is mainly limited by the inconsistent spatial resolution of different data, inconsistent correspondence between spatial grid points, and inconsistent observation time. The accuracy of the calculated wind field is sometimes high and sometimes low, and the stability is poor

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