{"title":"用于雷达传播预报的中尺度NWP模式中减少湍流混合","authors":"S. Fox","doi":"10.1109/USNC-URSI-NRSM.2013.6525088","DOIUrl":null,"url":null,"abstract":"The effect of the atmosphere on radar coverage in complex coastal environments is of great importance in many naval applications. Variations in atmospheric refractivity driven by vertical gradients of temperature and moisture can significantly enhance or reduce the range at which a particular target may be detected. Mesoscale Numerical Weather Prediction (NWP) models can be used to predict the spatial and temporal variation of atmospheric refractivity fields, which form the basis for forecasting radar coverage patterns.","PeriodicalId":123571,"journal":{"name":"2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reduced turbulent mixing in a mesoscale NWP model for radar propagation forecasting\",\"authors\":\"S. Fox\",\"doi\":\"10.1109/USNC-URSI-NRSM.2013.6525088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of the atmosphere on radar coverage in complex coastal environments is of great importance in many naval applications. Variations in atmospheric refractivity driven by vertical gradients of temperature and moisture can significantly enhance or reduce the range at which a particular target may be detected. Mesoscale Numerical Weather Prediction (NWP) models can be used to predict the spatial and temporal variation of atmospheric refractivity fields, which form the basis for forecasting radar coverage patterns.\",\"PeriodicalId\":123571,\"journal\":{\"name\":\"2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USNC-URSI-NRSM.2013.6525088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USNC-URSI-NRSM.2013.6525088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reduced turbulent mixing in a mesoscale NWP model for radar propagation forecasting
The effect of the atmosphere on radar coverage in complex coastal environments is of great importance in many naval applications. Variations in atmospheric refractivity driven by vertical gradients of temperature and moisture can significantly enhance or reduce the range at which a particular target may be detected. Mesoscale Numerical Weather Prediction (NWP) models can be used to predict the spatial and temporal variation of atmospheric refractivity fields, which form the basis for forecasting radar coverage patterns.