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机构地区:[1]上海海洋气象台,上海201399
出 处:《气象科学》2014年第5期508-514,共7页Journal of the Meteorological Sciences
摘 要:大气非云粒子(气溶胶、昆虫、悬浮物)以及雷达元器件固有噪声,是影响云雷达定量探测大气云层宏观以及微观产品的重要因素。为了剔除云雷达基数据中的散点噪声对数据质量的影响,本文利用新一代多普勒偏振8.6 mm云雷达资料,基于模糊逻辑识别地物的方法分析雷达散点噪声、气溶胶以及大气云粒子的反射率因子回波的统计特征,通过统计的特征值对反射率因子进行分类,保留正常回波数据。结果表明:该方法能较好区分云粒子回波和非云粒子回波,提高云雷达反射率因子的数据质量。Floating non-cloud particles (aerosol, insect, suspended solid) in the atmosphere and the inherent noise of radar components all have an important effect on retrieving cloud microphysics and macroscopical information by cloud radar quantitative estimation. For the purpose of eliminating the noise influence on the quality of data, and of elevating the quality of the cloud radar data, the statistical analy- sis on reflectivity's echo characters about scattered noise, aerosol and cloud-particle detected by the new generation Doppler and depolarization 8.6 mm cloud-radar was conducted. These echoes can be classified by the characteristic values, and the reliable data tended be persisted. The results show that this method can discriminate cloud particle and non-cloud particle better and improve the data quality of cloud radar reflectivity quite well
分 类 号:P413.2[天文地球—大气科学及气象学]
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