Method and device for identifying cloud clusters by using DBSCAN clustering algorithm, and electronic equipment

Abstract

The invention discloses a method for identifying cloud clusters by using a DBSCAN clustering algorithm. The method comprises the following steps of: acquiring reflectivity factor data of a first single-layer elevation angle and a first multi-layer elevation angle; setting different echo thresholds according to the difference between different cloud cluster reflectivity factors; according to the reflectivity factor data and the echo thresholds, establishing a DBSCAN algorithm model for identifying the cloud clusters; and classifying and identifying the cloud clusters according to the DBSCAN algorithm model. According to the method and the device, the cloud clusters can be classified and identified, so that the cloud cluster classification result is more visual, and the cloud cluster edge, size and type are obvious.

Description

technical field [0001] The invention relates to the field of atmospheric science research, in particular to a method, device and electronic equipment for identifying cloud clusters using a DBSCAN clustering algorithm. Background technique [0002] Rainstorm is one of the main disastrous weather phenomena in our country, which is very harmful to the economy and society of our country. Rainstorms in my country are characterized by suddenness, persistence and frequency. Effective and real-time monitoring of precipitation is one of the powerful means to improve the ability of rainstorm warning. The rainfall system is generally cumulus mixed cloud precipitation, large stratiform cloud precipitation is inlaid with convective cloud precipitation, and the convective cloud area is the main cause of the strong convective weather process, and the stratiform cloud area controls the duration and duration of the heavy rain. precipitation. Because convective clouds and stratiform clouds ...

AI Technical Summary

Problems solved by technology

Early identification of stratiform cloud precipitation was mostly done through zero-degree layer bright bands, but this method has certain limitations, that is, stratiform clouds must be developed to a relatively mature stage before they can be more accurately identified

There are also many methods based on rain gauge data. They will set a reflectivity factor threshold. In areas with precipitation echoes, as long as the echo reaches the set threshold, it will be judged as convective clouds. It is a stratiform cloud. This technique is called Background-Exceedence Technique (BET). BET technology can generally be used to determine the center of convective cloud precipitation, but the disadvantage is that it cannot determine the edge range of convective cloud precipitation.

Images