Fabiola Sapienza, G. Bacci, F. Giannetti, V. Lottici, A. Colicelli, A. Vaccaro, M. Gammone, Nicola Davini, O. Picchi, Giovanni Serafino, F. Caparrini, A. Antonini, A. Mazza, S. Melani, A. Ortolani, E. Adirosi, L. Baldini, G. Rallo, F. Policelli, G. Huffman
{"title":"基于微波卫星信号雨致衰减的降雨场重建——以德国2021年7月极端降雨事件为例","authors":"Fabiola Sapienza, G. Bacci, F. Giannetti, V. Lottici, A. Colicelli, A. Vaccaro, M. Gammone, Nicola Davini, O. Picchi, Giovanni Serafino, F. Caparrini, A. Antonini, A. Mazza, S. Melani, A. Ortolani, E. Adirosi, L. Baldini, G. Rallo, F. Policelli, G. Huffman","doi":"10.1109/UkrMW58013.2022.10037149","DOIUrl":null,"url":null,"abstract":"This paper presents a practical application of an opportunistic technique for the estimation of rainfall intensity and accumulated precipitation. The proposed technique is based upon signal strength measurements made by commercial-grade interactive satellite terminals. By applying some processing, the rain-induced attenuation on the microwave downlink from the satellite is first evaluated; then the rain attenuation is eventually mapped into a rainfall rate estimate via a tropospheric model. This methodology has been applied to a test area of 30 ×30 km2 around the city of Dortmund (North Rhine-Westphalia, upper basin of Ermscher river), for the heavy rain event that devastated western Germany in July, 2021. A rainfall map on this area is obtained from the measurements collected by a set of satellite terminals deployed in the region, and successfully compared with a map obtained with a conventional weather radar.","PeriodicalId":297673,"journal":{"name":"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rainfall Field Reconstruction by Opportunistic Use of the Rain-Induced Attenuation on Microwave Satellite Signals: The July 2021 Extreme Rain Event in Germany as a Case Study\",\"authors\":\"Fabiola Sapienza, G. Bacci, F. Giannetti, V. Lottici, A. Colicelli, A. Vaccaro, M. Gammone, Nicola Davini, O. Picchi, Giovanni Serafino, F. Caparrini, A. Antonini, A. Mazza, S. Melani, A. Ortolani, E. Adirosi, L. Baldini, G. Rallo, F. Policelli, G. Huffman\",\"doi\":\"10.1109/UkrMW58013.2022.10037149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a practical application of an opportunistic technique for the estimation of rainfall intensity and accumulated precipitation. The proposed technique is based upon signal strength measurements made by commercial-grade interactive satellite terminals. By applying some processing, the rain-induced attenuation on the microwave downlink from the satellite is first evaluated; then the rain attenuation is eventually mapped into a rainfall rate estimate via a tropospheric model. This methodology has been applied to a test area of 30 ×30 km2 around the city of Dortmund (North Rhine-Westphalia, upper basin of Ermscher river), for the heavy rain event that devastated western Germany in July, 2021. A rainfall map on this area is obtained from the measurements collected by a set of satellite terminals deployed in the region, and successfully compared with a map obtained with a conventional weather radar.\",\"PeriodicalId\":297673,\"journal\":{\"name\":\"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UkrMW58013.2022.10037149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UkrMW58013.2022.10037149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rainfall Field Reconstruction by Opportunistic Use of the Rain-Induced Attenuation on Microwave Satellite Signals: The July 2021 Extreme Rain Event in Germany as a Case Study
This paper presents a practical application of an opportunistic technique for the estimation of rainfall intensity and accumulated precipitation. The proposed technique is based upon signal strength measurements made by commercial-grade interactive satellite terminals. By applying some processing, the rain-induced attenuation on the microwave downlink from the satellite is first evaluated; then the rain attenuation is eventually mapped into a rainfall rate estimate via a tropospheric model. This methodology has been applied to a test area of 30 ×30 km2 around the city of Dortmund (North Rhine-Westphalia, upper basin of Ermscher river), for the heavy rain event that devastated western Germany in July, 2021. A rainfall map on this area is obtained from the measurements collected by a set of satellite terminals deployed in the region, and successfully compared with a map obtained with a conventional weather radar.