{"title":"红外低云探测","authors":"M. Hofstadter, A. Heidinger","doi":"10.1364/orsa.1997.otub.5","DOIUrl":null,"url":null,"abstract":"Traditional infrared cloud retrieval algorithms, such as the Chahine method or the CO2 Slicing technique (Chahine 1974, Smith 1968), rely on recognizing the temperature difference between the ground and the cloud tops. For a low-cloud, however, the temperature difference is small, making it indistinguishable from the surface. As part of our work for the Atmospheric Infrared Sounder (AIRS), to be flown on the EOS-PM platform, we are developing an improved technique for the detection of low-clouds. It is based upon observations of the depth of narrow water vapor lines in an atmospheric window region. Compared to traditional methods, there is an extra factor (the water vapor amount) making the signal from a cloudy column different than that from a clear column, which increases our sensitivity to low-clouds.","PeriodicalId":320202,"journal":{"name":"Optical Remote Sensing of the Atmosphere","volume":"272 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Infrared Low-Cloud Detection\",\"authors\":\"M. Hofstadter, A. Heidinger\",\"doi\":\"10.1364/orsa.1997.otub.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional infrared cloud retrieval algorithms, such as the Chahine method or the CO2 Slicing technique (Chahine 1974, Smith 1968), rely on recognizing the temperature difference between the ground and the cloud tops. For a low-cloud, however, the temperature difference is small, making it indistinguishable from the surface. As part of our work for the Atmospheric Infrared Sounder (AIRS), to be flown on the EOS-PM platform, we are developing an improved technique for the detection of low-clouds. It is based upon observations of the depth of narrow water vapor lines in an atmospheric window region. Compared to traditional methods, there is an extra factor (the water vapor amount) making the signal from a cloudy column different than that from a clear column, which increases our sensitivity to low-clouds.\",\"PeriodicalId\":320202,\"journal\":{\"name\":\"Optical Remote Sensing of the Atmosphere\",\"volume\":\"272 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Remote Sensing of the Atmosphere\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/orsa.1997.otub.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Remote Sensing of the Atmosphere","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/orsa.1997.otub.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
传统的红外云检索算法,如Chahine方法或CO2切片技术(Chahine 1974, Smith 1968),依赖于识别地面和云顶之间的温差。然而,对于低云来说,温差很小,使其与地面难以区分。作为将在EOS-PM平台上飞行的大气红外探测仪(AIRS)工作的一部分,我们正在开发一种检测低云的改进技术。它是基于对大气窗口区窄水蒸汽线深度的观测。与传统方法相比,有一个额外的因素(水蒸气量)使来自多云柱的信号与来自晴空柱的信号不同,这增加了我们对低云的灵敏度。
Traditional infrared cloud retrieval algorithms, such as the Chahine method or the CO2 Slicing technique (Chahine 1974, Smith 1968), rely on recognizing the temperature difference between the ground and the cloud tops. For a low-cloud, however, the temperature difference is small, making it indistinguishable from the surface. As part of our work for the Atmospheric Infrared Sounder (AIRS), to be flown on the EOS-PM platform, we are developing an improved technique for the detection of low-clouds. It is based upon observations of the depth of narrow water vapor lines in an atmospheric window region. Compared to traditional methods, there is an extra factor (the water vapor amount) making the signal from a cloudy column different than that from a clear column, which increases our sensitivity to low-clouds.