摘要
大气折射率结构常数(Cn2)是大气中折射率大小的体现,为了改善风廓线雷达(WPR)数据质量,提高WPR数据业务应用的可靠性,对边界层风廓线雷达近1年的实测数据采用归纳对比的方法,分析得到Cn2与温度湿度变化的关系,并总结出成都地区晴朗天气下,四季Cn2量级的变化范围,与理论推导一致。夏天10-12到10-20,春秋10-13到10-20,冬天10-14到10-21,此外,根据降水量大小不同,Cn2提升3到6个量级,获得这些定量的范围,为相关风廓线雷达产品识别提供了方法和依据。
Refractive index structure constant （Cn2） reflects the intensity of atmospheric reflectivity.To improve the data quality and reliability of service application,this paper summarizes the relationships between Cn2 and temperature,humidity by applying inductions and statistics method to the observed data of boundary layer WPR for a whole year.Meanwhile a vary magnitude range of Cn2 is summarized during the fine days in Chengdu,which is consistent with the theory.The range of summer is from 10-12 to 10-20,and winter is from 10-14 to 10-21.Spring and autumn are from 10-13 to 10-20.In addition,Cn2 promotes its magnitude about 3 to 6 grade based on different precipitations.These quantitative ranges provide approach and basis for the product recognition of WPR.
出处
《成都信息工程学院学报》
2013年第6期611-616,共6页
Journal of Chengdu University of Information Technology
基金
公益性行业(气象)科研专项资助项目(GYHY200906039)
四川省教育厅重大培育资助项目(11ZZ015)
关键词
气象雷达
边界层风廓线雷达
折射率结构常数
归纳对比
实测分析
meteorological radar
boundary layer Wind Profile Radar
refractive index structure constant
inductions and statistics
analyses of observed data
