Doppler weather radar data quality control method

A weather radar and control method technology, applied in the field of meteorological analysis, can solve the problems of limited clutter removal rate, large differences in radar ground objects, and inability to effectively remove ground object clutter.
CN112666559AActive Publication Date: 2021-04-16苏州市气象局
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
苏州市气象局
Publication Date
2021-04-16

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Abstract

The invention discloses a Doppler weather radar data quality control method which comprises the following steps of obtaining a meteorological echo data distribution rule and a ground clutter data distribution rule based on Doppler weather radar historical base data information; identifying ground clutter by using a skewness method based on the meteorological echo data distribution rule and the ground clutter data distribution rule; designing a radar ground clutter filter according to the data distribution rule and the skewness method, and performing filtering by using the radar ground clutter filter to obtain radar filtering data after ground clutter removal; determining a radar beam blocking rate of the radar beam blocking area based on the Doppler weather radar original base data and the radar filtering data; and performing radar filtering data correction. The method can effectively identify and remove the ground clutter in the radar base data, and fill and correct the filtered radar data to realize the quality control of the radar base data, thereby improving the accuracy of meteorological rainfall estimation.
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Description

technical field

[0001] The invention belongs to the technical field of meteorological analysis, in particular to a method for controlling the quality of Doppler weather radar data. Background technique

[0002] Due to its high temporal and spatial resolution, Doppler weather radar has become an important tool for monitoring convective systems in meteorological operations. Weather radar can not only receive meteorological echo signals during normal operation, but also non-meteorological echo signals, such as echoes generated by mountains or buildings; all kinds of obstacles have high reflectivity factors, which often lead to rainfall intensity is overestimated; and in areas shaded by mountains or other obstacles, rainfall intensity is underestimated. Therefore, the quality control of radar data is particularly important for the effective use of radar. At present, filters have been applied in the radar signal processing part to eliminate non-meteorological echoes, but there ...

Claims

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