基于GPM-DPR观测的积雪识别及其与s波段地面雷达双偏振测量的交叉验证

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) Pub Date : 2017-08-01 DOI:10.23919/URSIGASS.2017.8105080

S. Biswas, M. Le, V. Chandrasekar

{"title":"基于GPM-DPR观测的积雪识别及其与s波段地面雷达双偏振测量的交叉验证","authors":"S. Biswas, M. Le, V. Chandrasekar","doi":"10.23919/URSIGASS.2017.8105080","DOIUrl":null,"url":null,"abstract":"The Global Precipitation Measurement (GPM) mission Core Observatory is equipped with a dual-frequency precipitation radar (DPR) operating at frequency channel of 13.6 GHz (Ku-band) and 35.5 GHz (Ka-band). In this paper, GPM-DPR's simultaneous observations at these two frequencies are used to study the characteristics of vertical profile of reflectivity of snow. An algorithm to identify falling snow is considered. Its performance is also evaluated by cross validation with dual polarization measurements from ground radar.","PeriodicalId":377869,"journal":{"name":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Identification of snow from GPM-DPR observations and cross validation with S-band ground radar dual polarization measurements\",\"authors\":\"S. Biswas, M. Le, V. Chandrasekar\",\"doi\":\"10.23919/URSIGASS.2017.8105080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Global Precipitation Measurement (GPM) mission Core Observatory is equipped with a dual-frequency precipitation radar (DPR) operating at frequency channel of 13.6 GHz (Ku-band) and 35.5 GHz (Ka-band). In this paper, GPM-DPR's simultaneous observations at these two frequencies are used to study the characteristics of vertical profile of reflectivity of snow. An algorithm to identify falling snow is considered. Its performance is also evaluated by cross validation with dual polarization measurements from ground radar.\",\"PeriodicalId\":377869,\"journal\":{\"name\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIGASS.2017.8105080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIGASS.2017.8105080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

全球降水测量(GPM)任务核心天文台配备了一个双频降水雷达(DPR)，工作频率为13.6 GHz (ku波段)和35.5 GHz (ka波段)。本文利用GPM-DPR在这两个频率的同步观测资料，研究了积雪反射率的垂直廓线特征。提出了一种识别降雪量的算法。通过与地面雷达双偏振测量数据的交叉验证，对其性能进行了评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Identification of snow from GPM-DPR observations and cross validation with S-band ground radar dual polarization measurements

The Global Precipitation Measurement (GPM) mission Core Observatory is equipped with a dual-frequency precipitation radar (DPR) operating at frequency channel of 13.6 GHz (Ku-band) and 35.5 GHz (Ka-band). In this paper, GPM-DPR's simultaneous observations at these two frequencies are used to study the characteristics of vertical profile of reflectivity of snow. An algorithm to identify falling snow is considered. Its performance is also evaluated by cross validation with dual polarization measurements from ground radar.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)

自引率

0.00%

发文量