Method for prewarning Doppler radar remote sensing strong storm

Abstract

The invention relates to an automatic prewarning method for strong storms. Doppler weather radar data is used. According to identification on storms, false combination of storms can be successfully identified by adopting a method based on mathematical morphology, namely expansion operation and corrosion operation are comprehensively used during multi-threshold identification, and relatively near storms can be separated from a storm cluster; then, according to tracking of the storms, the tracking process is greatly simplified by adopting a sequential monte carlo method, and situations of splitting, combination and leakage detection of the storms can be handled; and finally, the storms are prewarned, namely linear fitting extrapolation prewarning is realized by being combined with a motion vector field obtained by an optical flow method. According to the method, complicated situations that radar echo is densely distributed and frequently split and combined can be handled. The method has the advantages that a prewarning software system is arranged in provincial and municipal weather stations; high-convection weather prewarning service is provided; and the urgent demands for preventing and reducing disasters in China are met.

Description

technical field [0001] The invention belongs to the remote sensing monitoring technology of atmospheric environment, in particular to an automatic early warning method of Doppler radar remote sensing strong storm. Background technique [0002] Severe convective weather, also known as severe storm, is one of the main disastrous weather, including lightning, hail, thunderstorm, gale, etc., which will cause huge social harm when it occurs. Therefore, the monitoring and early warning of severe storms has significant social and economic significance. Due to the small spatial scale and short duration of severe storms, it is difficult to monitor them effectively by conventional observation methods. The Doppler weather radar is currently the main remote sensing monitoring method for severe storms, which has a high temporal and spatial resolution and can observe the three-dimensional spatial structure of the storm. [0003] Severe storms show up as 3D echo images on weather radar. ...

AI Technical Summary

Problems solved by technology

However, for storm clusters with dense distribution of echoes, or complex situations such as severe echo changes and frequent splitting and merging, it will bring great difficulties to early warning, and the existing methods cannot handle it.

However, with the warming of the climate and the frequent occurrence of extreme convective disasters, the complex distribution of these echoes appears more and more frequently.

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