WANG Xiao-yi,SU De-bin.Classification of Hydrometeor Types for Hail Cloud based onX-band Dual-polarization Radar[J].Journal of Chengdu University of Information Technology,2018,(04):383-390.[doi:10.16836/j.cnki.jcuit.2018.04.006]
基于X波段双线偏振雷达的冰雹云降水粒子识别研究
- Title:
- Classification of Hydrometeor Types for Hail Cloud based onX-band Dual-polarization Radar
- 文章编号:
- 2096-1618(2018)04-0383-08
- 分类号:
- TN959.4
- 文献标志码:
- A
- 摘要:
- 利用甘肃平凉X波段双线偏振雷达的一次冰雹云观测个例,对降水粒子模糊逻辑识别算法进行适用性验证。通过雷达性能评估和数据质量分析以保证降水粒子识别结果的可靠性; 在此基础上,建立11种输出类型的隶属函数参数表,并根据不同粒子类型对6个输入参量的敏感程度以及数据质量构建权重参数表,以实现降水粒子模糊逻辑识别算法。利用建立的算法识别个例中降水粒子类型,并依据4个雷达原始偏振参量和探空数据作为识别结果的验证参考,结果表明建立的降水粒子模糊逻辑识别算法能较为合理地识别出冰雹云内部的粒子分布。
- Abstract:
- The applicability verification of the fuzzy logic algorithm for classfication of hydrometeor types in hail cloud,which based on X-band dual-polarization radar in Pingliang,Gansu, is showed in this paper. Through the evaluation of the radar performance and data quality analysis, the reliability of the hydrometeor identification results has been ensured. And to realize the fuzzy logic algorithm, the membership function parameter table of 11 output types is established, besides, the weight parameters is given, which according to the characteristic of different hydrometeor types for 6 input parameters and the data quality. Then, the established the fuzzy logic algorithm classify the types of hydrometeor in hail cloud, 4 polarimetric parameters and sounding data is used as references to verify its result, the classfication results indicate that the fuzzy logic algorithm for classfication of hydrometeor types is reasonable and practicable.
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备注/Memo
收稿日期:2018-02-05基金项目:北京市自然科学基金重点资助项目(8141002)