Multi-threshold squall line identification method based on radar echo three-dimensional puzzle

Abstract

The invention discloses a multi-threshold squall line identification method based on a radar echo three-dimensional puzzle. The multi-threshold squall line identification method comprises the following steps of A, converting a current volume scan data of a new generation weather radar net into radar echo intensity three-dimensional puzzle data; B, conducting storm cell automatic identification for the radar echo intensity three-dimensional puzzle data by using a storm cell identification tracking algorithm; C, according to statistical analysis results of convective cloud characteristics in a squall line identification region, setting multiple sets of thresholds of parameters required for squall line identification to form multiple sets of parameter schemes; and D, designing a dynamic template and a score function method by using a fitted ellipse long axis, conducting squall line identification respectively using the multiple sets of parameter schemes, if one or more of linear scores corresponding to multiple sets of identification results are higher than a set score, taking the identification result of the highest linear score as the squall line identification result. The invention greatly improves the accuracy of the squall line identification and provides a reliable early warning mechanism for thunderstorm weather forecast.

Description

technical field [0001] The invention relates to the technical field of squall line identification in radar meteorology, in particular to a multi-threshold squall line identification method based on a radar echo three-dimensional mosaic. Background technique [0002] Squall lines are one of the important causes of disastrous gale. They have a short life history but are sudden and destructive. They often cause great harm to industrial and agricultural production, transportation and people's lives. At present, Chinese and foreign scholars have designed dynamic templates and scoring functions based on the long axis of the fitted ellipse, and realized the automatic identification and tracking of linear mesoscale convective systems on radar jigsaw data. state, which truly reflects the "mutant" phenomenon of echo forms caused by splitting and merging. However, due to the fixed and single identification parameters, the algorithm has the phenomenon that the identification range of s...

AI Technical Summary

Problems solved by technology

However, due to the fixed and single identification parameters, the algorithm has the phenomenon that the identification range of strong squall lines is too large and weak squall lines cannot be identified, and it cannot truly reflect the different development stages of squall lines, resulting in a low accuracy rate of early warning for thunderstorms and strong winds

Images