新一代天气雷达杂波分析及其数据质量控制

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Abstract In order to solve the problem of various clutter pollution in the current CINRAD base data,this article proposes a method based on radar data sequence autocorrelation,which extracts target distance base data,fills the empty database with meteorological feature values,forms a data sequence,and obtains the data quality index of the base data from the autocorrelation of the sequence.The data quality index values of reflectivity factor,radial velocity,and spectral width data were combined to classify and identify multiple types of clutter,including meteorological target echoes,wind turbine clutter,electromagnetic interference clutter,residual clutter,and scattered clutter.The minimum interpolation method was used to achieve clutter suppression in the reflectivity factor data.Comparing the clutter suppression effects of radar base data under different weather conditions,it is shown that while suppressing clutter,meteorological echo data can be well preserved.

Key words： CINRAD wind turbine clutter electromagnetic interference clutter clutter suppression data quality control autocorrelation

Received: 27 February 2024

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	Articles by authors
	Gao Xiang
	Su Tianji
	Lin Jingjun
	Zhang Xiaofeng
	Fan Jiangwei
	Lin Yingjian

Cite this article:

Gao Xiang,Su Tianji,Lin Jingjun等. CINRAD clutter analysis and its data quality control[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(6): 121-124.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I6/121

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