X. Yin, Ruanyu Zhang, Xing-ou Xu, Yingzhu Huang, Zhenzhan Wang
{"title":"强热带气旋下的风浪","authors":"X. Yin, Ruanyu Zhang, Xing-ou Xu, Yingzhu Huang, Zhenzhan Wang","doi":"10.1109/IGARSS.2016.7730202","DOIUrl":null,"url":null,"abstract":"Microwave remote sensing provides an opportunity to retrieve wind speed (WS) inside tropical cyclones (TCs) due to the high atmospheric transmissivity through clouds and under rain conditions. A WS retrieval algorithm for WS above 20m/s in TCs using brightness temperature at 6.8- and 10.7-GHz has been developed and a new set of parameters has been optimized from 6.9GHz and 10.7GHz TB and the HWind analysis matches. This algorithm is estimated to have an encouraging degree of accuracy for retrieving WS in TCs. Then the retrieved wind speeds of TCs are used to study wave heights in TCs in the South China Sea.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wind and wave under strong tropical cyclones\",\"authors\":\"X. Yin, Ruanyu Zhang, Xing-ou Xu, Yingzhu Huang, Zhenzhan Wang\",\"doi\":\"10.1109/IGARSS.2016.7730202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microwave remote sensing provides an opportunity to retrieve wind speed (WS) inside tropical cyclones (TCs) due to the high atmospheric transmissivity through clouds and under rain conditions. A WS retrieval algorithm for WS above 20m/s in TCs using brightness temperature at 6.8- and 10.7-GHz has been developed and a new set of parameters has been optimized from 6.9GHz and 10.7GHz TB and the HWind analysis matches. This algorithm is estimated to have an encouraging degree of accuracy for retrieving WS in TCs. Then the retrieved wind speeds of TCs are used to study wave heights in TCs in the South China Sea.\",\"PeriodicalId\":179622,\"journal\":{\"name\":\"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)\",\"volume\":\"08 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2016.7730202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2016.7730202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microwave remote sensing provides an opportunity to retrieve wind speed (WS) inside tropical cyclones (TCs) due to the high atmospheric transmissivity through clouds and under rain conditions. A WS retrieval algorithm for WS above 20m/s in TCs using brightness temperature at 6.8- and 10.7-GHz has been developed and a new set of parameters has been optimized from 6.9GHz and 10.7GHz TB and the HWind analysis matches. This algorithm is estimated to have an encouraging degree of accuracy for retrieving WS in TCs. Then the retrieved wind speeds of TCs are used to study wave heights in TCs in the South China Sea.