{"title":"Display Multiple Variables Data for SPOL Weather Radar by Matlab Encoding","authors":"J. Zheng, Zhendong Yao","doi":"10.1109/ICMO49322.2019.9025872","DOIUrl":null,"url":null,"abstract":"The S-PolKa radar is an advanced, mobile ground-based, dual-polarized and dual-wavelength (S-band and Ka-band) Doppler weather radar belonging to the NCAR, which has excellent detection performance in precipitation estimation, real-time identification of hydrometeor types, humidity estimation, estimation of liquid water content in cloud, etc. The data used in this paper are the SPOL data, part of S-PolKa radar data. In order to obtain more fine RHI data products of SPOL weather radar and realize the visual analysis of meteorological data, SPOL weather radar data was decoded, smoothed and displayed through Matlab encoding. After analyzing the data format of SPOL data, we used Matlab to read the raw data and display it. In order to make the final presentation more realistic, we have accumulated and averaged the raw data to make the image smoother. Because the SPOL data adopts polar coordinate system, it is necessary to first change the mapping relationship of the coordinates, and then display the variables on the output device by using pseudo color. The results show that the smoothed data image can highlight the strong echo region and increase the effectiveness of weather radar data products.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Meteorology Observations (ICMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMO49322.2019.9025872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The S-PolKa radar is an advanced, mobile ground-based, dual-polarized and dual-wavelength (S-band and Ka-band) Doppler weather radar belonging to the NCAR, which has excellent detection performance in precipitation estimation, real-time identification of hydrometeor types, humidity estimation, estimation of liquid water content in cloud, etc. The data used in this paper are the SPOL data, part of S-PolKa radar data. In order to obtain more fine RHI data products of SPOL weather radar and realize the visual analysis of meteorological data, SPOL weather radar data was decoded, smoothed and displayed through Matlab encoding. After analyzing the data format of SPOL data, we used Matlab to read the raw data and display it. In order to make the final presentation more realistic, we have accumulated and averaged the raw data to make the image smoother. Because the SPOL data adopts polar coordinate system, it is necessary to first change the mapping relationship of the coordinates, and then display the variables on the output device by using pseudo color. The results show that the smoothed data image can highlight the strong echo region and increase the effectiveness of weather radar data products.