{"title":"恢复多通道微波图像估算飓风降雨率","authors":"R. Chin, C. Yeh, W. Olson, J. Weinman","doi":"10.1364/srs.1983.wa21","DOIUrl":null,"url":null,"abstract":"Multichannel microwave radiometers on the Seasat and Nimbus 7 satellites offer a quantitative method to measure rainfall amounts over the ocean. The emissivity of the ocean surface is low and varies predictably with wind speed; it thus provides a good background for observing precipitation. The theory and initial validation of this concept was given by Wilheit et al. [1]","PeriodicalId":279385,"journal":{"name":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Restoration of Multichannel Microwave Imagery To Estimate Rainfall Rates in Hurricanes\",\"authors\":\"R. Chin, C. Yeh, W. Olson, J. Weinman\",\"doi\":\"10.1364/srs.1983.wa21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multichannel microwave radiometers on the Seasat and Nimbus 7 satellites offer a quantitative method to measure rainfall amounts over the ocean. The emissivity of the ocean surface is low and varies predictably with wind speed; it thus provides a good background for observing precipitation. The theory and initial validation of this concept was given by Wilheit et al. [1]\",\"PeriodicalId\":279385,\"journal\":{\"name\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1983.wa21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1983.wa21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Restoration of Multichannel Microwave Imagery To Estimate Rainfall Rates in Hurricanes
Multichannel microwave radiometers on the Seasat and Nimbus 7 satellites offer a quantitative method to measure rainfall amounts over the ocean. The emissivity of the ocean surface is low and varies predictably with wind speed; it thus provides a good background for observing precipitation. The theory and initial validation of this concept was given by Wilheit et al. [1]