Winter sea fog detection using TRMM microwave measurements over the Taiwan Strait

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Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/101571

Title:	Winter sea fog detection using TRMM microwave measurements over the Taiwan Strait
Authors:	劉振榮;Yeh, Nan-Ching;Chen, Wann-Jin;Liu, Gin-Rong;Liu, Chung-Chih
Contributors:	太空及遙測研究中心
Keywords:	EI;fog detection;fog observations;microwave brightness temperature;polarization TB;SCIE;Scopus;TSCI
Date:	2016-01-01
Issue Date:	2026-04-21 14:38:02 (UTC+8)
Publisher:	National Taiwan Ocean University;台灣: 國立臺灣海洋大學
Abstract:	摘要： The impact of fog on activities such as land transportation, flight and marine operations, and military missions can be dangerous. Thus, this study developed a new and simple method for detecting fog areas over the Taiwan Strait more accurately during winter by using the Tropical Rainfall Measuring Mis-sion Microwave Imager (TMI) Level-1B calibrated brightness temperature (TB) data, combined with ground station fog observations. This method is based on the microwave TB dif- ferences among four TMI channels, including horizontal and vertical polarization TBs of 37.0 and 85.5 GHz, for heavy fog and clear weather conditions. The method can be applied to large areas during the daytime and nighttime and distinguish fog from low clouds. It involves selecting fog cases and recog- nizing fog areas, removing relevant land data and calculating TMI TB statistics, establishing TB fog criteria, and finally va- lidating the fog criteria through analysis of independent cases. The results indicated that the fog detection accuracy reached 75%. Among the four channels of the TMI, the 85.5 GHz horizontal polarization exhibited the highest fog sensitivity. 出版者：台灣: 國立臺灣海洋大學出版日期： 2016-08-01 出處： Journal of Marine Science and Technology, 2016-08, Vol.24 (4), p.851-863 資源來源：華藝CEPS中文電子期刊服務識別號： ISSN: 1023-2796 識別號： DOI: 10.6119/JMST-016-0429-1
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

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