Downburst intelligent identification and early warning method based on radar data

Abstract

The invention discloses a downburst intelligent identification and early warning method based on radar data. Firstly the optical flow field of the reflectivity factor vertical section is analyzed by using an optical flow method so as to obtain the development law of the storm core along with time; then function fitting is performed on the descending process of the top of the storm core by using the Lagrange mechanical model; and then matching identification is performed on the images of the "positive and negative velocity pairs" of the radial velocity field of the middle layer of the storm core by using the histogram and the Bhattacharyya coefficient statistical analysis method, and downburst intelligent early warning is finally realized through synthesis of judgment of a series of thresholds. With application of the method, the potential downburst can be identified in the early stage of lifting and sharp descending of the storm core and the descending rate of the storm core and the time of reaching the near surface can be estimated so that downburst intelligent identification and early warning can be realized.

Description

technical field [0001] The invention belongs to the field of atmospheric science, and relates to a method for realizing the intelligent forecast and early warning of downburst by using Doppler weather radar data to identify the convergence and divergence images of the radial velocity field. Background technique [0002] A downburst is a strong divergent linear airflow formed when the cold outflow formed in a strong convective storm reaches the near-surface layer. Smooth take-off and landing pose a serious threat. Although the disasters caused by downbursts are enormous, once they encounter mass and fatal disasters, the aviation and meteorological departments have long attached great importance to the strict monitoring of their formation and development. The rapid development and short duration make its monitoring, forecasting and early warning very difficult, and it has been a worldwide problem for a long time. [0003] As an important means of monitoring and analyzing sev...

AI Technical Summary

Problems solved by technology

However, due to the characteristics of small spatial scale and fast generation and disappearance of downbursts, under the limitation of existing detection methods and technical conditions, there are still great technical bottlenecks in intelligent identification and early warning.

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