Radar three-dimensional wind field inversion method based on high-resolution mode dynamic constraint

Abstract

The invention provides a radar three-dimensional wind field inversion method based on high-resolution mode dynamic constraint, and the method comprises the following steps: determining the inversion resolution and range, and building an analysis grid; acquiring a three-dimensional wind field of the high-resolution numerical forecasting system in the inversion area in the short-term and imminent forecasting time efficiency, and interpolating the three-dimensional wind field to the analysis grid; extracting radial wind elements from the polarization radar in the inversion area, performing speed deblurring processing, and interpolating to an analysis grid; on the basis of establishing a cost function by means of a radial speed, a mass continuity equation and a smooth item, adding a mode dynamic constraint item to form a new cost function; and performing iterative solution based on a cost function minimization principle, and finally obtaining a complete three-dimensional wind field in the region. According to the method, through high-resolution mode dynamic constraint, the three-dimensional wind field obtained through radar inversion has physical and dynamic coordination, the completeness and precision of wind field inversion can be improved, and the monitoring and early warning capacity for strong weather such as vertical wind shear and downburst can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of atmospheric remote sensing monitoring and analysis, and in particular relates to a radar three-dimensional wind field inversion method based on high-resolution model dynamic constraints. Background technique [0002] Weather radar measures the frequency change of the emitted and returned electromagnetic waves of precipitation particles, and measures the speed at which precipitation particles move closer or farther than the radar, that is, the radial velocity. It has important application value in aviation, electric power and other fields. [0003] At present, there are three kinds of radar wind field inversion techniques commonly used at home and abroad. The first is the dual-Doppler radar joint inversion method. The equation is used to solve the vertical wind field, but this method has high requirements on the positions of the two radars. The distance between the two radars is preferably 60-80 km, but i...

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Problems solved by technology

[0003] At present, there are three kinds of radar wind field inversion techniques commonly used at home and abroad. The first is the dual-Doppler radar joint inversion method. The equation is used to solve the vertical wind field, but this method has high requirements on the positions of the two radars. The distance between the two radars is preferably 60-80 km, but it is difficult for the operational weather radar network to meet this requirement. Therefore, the actual inversion area is small and requires The jigsaw puzzle processing of the wind field is prone to secondary errors; the second is the data assimilation method, that is, the continuous multi-time radar data is fused with the coarse-resolution atmospheric reanalysis data through a fast-updating cycle Time changes to obtain a rapidly evolving three-dimensional wind field structure, but this method has the problems of many iterations and a large amount of calculation, and the feasibility of business operation is low; the third method is the three-dimensional variational method (3DVAR), which is different from the first two Compared with the two methods, the three-dimensional variational method has more stable business application value, but it is prone to large errors in the inversion of the wind field structure of the fast-evolving strong convective system

In addition, since there is a blind area in the radar volume scan, and generally speaking, the effective data range of the radar radial velocity matches the effective reflectivity echo area, the two methods of dual radar and 3D variation cannot retrieve the echo-free The wind field of the region, resulting in an incomplete 3D wind field structure

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