AOI-applicable adaptive observation method and system suitable for networking weather radar

Abstract

The invention discloses an AOI-applicable adaptive observation method and system for a networking weather radar, and relates to the technical field of networking radars. The method comprises the following steps: constructing a three-dimensional grid point field of the weather radar network, and analyzing coverage information on an equal-height surface and between equal-height layers to obtain radar coverage information of each grid point; according to the radar coverage information of each grid point, determining a final reflectivity value of the grid point; acquiring layer combination reflectivity information of each layer of equal-height surface on a set spatial height, and identifying a severe convection center and a region based on fusion information of the multi-layer combination reflectivity information; and in combination with to-be-added radar data, triggering a radar body scanning mode based on ground potential and machine learning joint extrapolation or triggering a radar body scanning mode based on severe convection center and area identification. According to the method, the volume scanning mode of the newly-added radar can realize better matching for the severe convection center and the area, and the detection capability of the newly-added radar is fully utilized.

Description

technical field [0001] The invention relates to the technical field of networked radar, in particular to an adaptive observation method and system for networked weather radar applicable to AOI. Background technique [0002] Networked weather radar can increase the dimension and confidence of measurement, improve the fault tolerance and robustness of the system, and has been widely used in modern comprehensive meteorological observation systems. In the weather radar network, how to coordinate the observations of the various radars in the weather radar network according to the information of the key observation area (AOI, the full name is Area Of Interest, also known as the key area) is one of the main research directions in the field of radar detection. The key observation area (AOI) is, for example, a strong convective area when weather occurs, a set key service area, a key area manually selected, and the like. [0003] During the three-dimensional detection and collaborati...

AI Technical Summary

Problems solved by technology

The existing technology has the following defects: firstly, it is highly dependent on the operation level of the radar operator; secondly, it is difficult to ensure that the scanning center of each sector sweep is optimally aligned with the observation target during manual setting, resulting in a decrease in observation accuracy; Furthermore, since the manually set sector sweep range is often much larger than the sector sweep area required by the target to be observed, in the case of a fixed sector sweep speed, the intercepted effective data rate is low, and the front-end sorting data processing and computing resources Maintenance causes a lot of pressure

Images