| 基于模糊逻辑法的粒子识别研究 |
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| 作者单位： | ;1.南京信息工程大学江苏省气象探测与信息处理重点实验室;2.南京信息工程大学中国气象局气溶胶云降水重点开放实验室 |
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| 摘 要： | 毫米波雷达相比于微波雷达对云的探测具有更高的敏感性,本文利用Chilbolton观测场的94GHz毫米波云雷达的基本探测量,结合探空仪的温度廓线数据,根据Shupe总结得到的云粒子相态识别的阈值,采用模糊逻辑算法对一次实际探测进行了反演研究.该模糊逻辑算法采用的主要隶属函数为不对称的梯形函数,识别粒子的相态类别主要分成雨、毛毛雨、液态水、混合相态、冰、雪等6种,对比经典的阈值算法反演的过冷水区域结果后认为,本文所研究的模糊逻辑算法对云中水凝物粒子的相态识别分类基本合理,其反演的结果对于人工影响天气作业以及飞机安全飞行等方面具有重要的意义.
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| 关 键 词： | 毫米波雷达 探空温度 模糊逻辑 粒子相态识别 过冷水识别 |
Particle Identification Based on Fuzzy Logic Method |
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| Institution: | ,Jiangsu Key Laboratory of Meteorological Observation and Information Processing,Nanjing University of Information Science and Technology,Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science and Technology |
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| Abstract: | Compared to the microwave radar,the millimeter-wave radar is more sensitive in detecting cloud.In this paper,combined with the radiosonde temperature profile data,the basic quantity of 94 GHz millimeter-wave cloud radar in Chilbolton probe observation field is utilized.According to the threshold of cloud particle phase state recognition summarized by Shupe,a fuzzy logic algorithm is employed for inversion of a practical detection.The membership function of fuzzy logic algorithm is the asymmetric trapezoidal function,and the phase states of particle identification are mainly divided into rain,drizzle,liquid water,mixed phase,ice and snow.In comparison to the classical threshold algorithm for inversion of super-cooled water area,the results show that the proposed fuzzy logic algorithm for phase states classification of cloud hydrometeors particle is rational.The inversion results are significant for man-made weather modification project,the safety of aircraft flight and so on. |
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| Keywords: | millimeter-wavelength cloud radar radiosonde temperature fuzzy logic particle phase identification cold water identification |
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