An Adaptive Cooperative Scanning Method Based on Networked X-band Radar

Abstract

The invention discloses an adaptive collaborative scanning method based on a networked X-band radar. According to the radar data in the observation area, the networked weather radar recognizes weather features of different scales as trigger conditions, and adaptively starts different scanning strategies. In the present invention, the weather characteristics of different scales identified according to the networked weather radar data are used as trigger conditions, and different scanning strategies are adaptively started, which maximizes the effective detection capability of each radar in the networked radar without affecting the puzzle effect of the networked radar Based on this, it is more capable of detecting the three-dimensional structural characteristics of the storm cell with higher precision.

Description

technical field [0001] The invention relates to a meteorological detection method, in particular to a strategy formulation method based on networked X-band radar cooperatively scanning multiple weather types. Background technique [0002] In the field of meteorological detection, at present, a single S(C) band weather radar is mainly used to detect weather systems, which has the disadvantage of insufficient ability to detect the lower atmosphere, and the influence of changes in the atmospheric airflow field that affects the occurrence and development of strong winds and small-to-medium-scale convective weather events The ability to observe the vertical structure is weak, and the ability to observe the evolution of the atmospheric flow field is obviously insufficient. For γ-mesoscale convective cells and smaller-scale tornado weather, the time and spatial resolution of the volume scan mode of existing radars is relatively poor. Processes (such as tornadoes, hail, etc.) have ...

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Problems solved by technology

[0002] In the field of meteorological detection, at present, a single S(C) band weather radar is mainly used to detect weather systems, which has the disadvantage of insufficient ability to detect the lower atmosphere, and the influence of changes in the atmospheric flow field that affects the occurrence and development of strong winds and small-to-medium-scale convective weather events The ability to observe the vertical structure is weak, and the ability to observe the evolution of the atmospheric flow field is obviously insufficient

For γ-mesoscale convective cells and smaller-scale tornado weather, the time and spatial resolution of the volumetric scanning mode of existing radars is relatively poor. Processes (such as tornadoes, hail, etc.) have limited monitoring and identification capabilities, which cannot meet the needs of effective detection and identification of locally generated small-scale strong convective weather

[0003] The scanning mode of the networked X-band weather radar that has been put into scientific research is still unified as the volumetric scanning mode of the whole airspace. This scanning strategy is mainly used to use the networked X-band weather radar to improve the ability to quantitatively estimate precipitation in the test area. No strategy for targeted scanning of mesoscale convective cells

The detection capability of the networked X-band weather radar cannot be exerted

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