| Fog Detection over China’s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data |
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| 作者姓名： | LI Jun HAN Zhi-Gang CHEN Hong-Bin ZHAO Zeng-Liang WU Hong-Yi |
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| 基金项目： | supported by the National Natural Science Foundation of China(Grant No.40830102);Ministry of Science and Technology(MOST)(Grant Nos.2006CB403706and2010CB950804) |
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| 摘 要： | A fog threshold method for the detection of sea fog from Multi-function Transport Satellite (MTSAT1R) infrared (IR) channel data is presented.This method uses principle component analysis (PCA),texture analysis,and threshold detection to extract sea fog information.A heavy sea fog episode that occurred over China’s adjacent sea area during 7 8 April 2008 was detected,indicating that the fog threshold method can effectively detect sea fog areas nearly 24 hours a day.MTSAT-1R data from March 2006,June 2007,and April 2008 were processed using the fog threshold method,and sea fog coverage information was compared with the meteorological observation report data from ships.The hit rate,miss rate,and false alarm rate of sea fog detection were 66.1%,27.3%,and 33.9%,respectively.The results show that the fog threshold method can detect the formation,evolution,and dissipation of sea fog events over period of time and that the method has superior temporal and spatial resolution relative to conventional ship observations.In addition,through MTSAT-1R data processing and a statistical analysis of sea fog coverage information for the period from 2006 to 2009,the monthly mean sea fog day frequency,spatial distribution and seasonal variation characteristics of sea fog over China’s adjacent sea area were obtained.
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| 关 键 词： | sea fog MTSAT geostationary satellite spatial distribution seasonal variation |
Fog Detection over China’s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data |
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| LI Jun,HAN Zhi-Gang,CHEN Hong-Bin,ZHAO Zeng-Liang,WU Hong-Yi.Fog Detection over China’s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data[J].Atmospheric and Oceanic Science Letters,2012,5(2):128-133. |
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| Authors: | LI Jun HAN Zhi-Gang CHEN Hong-Bin ZHAO Zeng-Liang and WU Hong-Yi |
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| Affiliation: | 1. Laboratory for Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3. Beijing Institute of Applied Meteorology, Beijing 100029, China;1. Laboratory for Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;3. Beijing Institute of Applied Meteorology, Beijing 100029, China;4. Beijing Meteorological Bureau, Beijing 100089, China |
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| Abstract: | A fog threshold method for the detection of sea fog from Multi-function Transport Satellite (MTSAT1R) infrared (IR) channel data is presented.This method uses principle component analysis (PCA),texture analysis,and threshold detection to extract sea fog information.A heavy sea fog episode that occurred over China’s adjacent sea area during 7 8 April 2008 was detected,indicating that the fog threshold method can effectively detect sea fog areas nearly 24 hours a day.MTSAT-1R data from March 2006,June 2007,and April 2008 were processed using the fog threshold method,and sea fog coverage information was compared with the meteorological observation report data from ships.The hit rate,miss rate,and false alarm rate of sea fog detection were 66.1%,27.3%,and 33.9%,respectively.The results show that the fog threshold method can detect the formation,evolution,and dissipation of sea fog events over period of time and that the method has superior temporal and spatial resolution relative to conventional ship observations.In addition,through MTSAT-1R data processing and a statistical analysis of sea fog coverage information for the period from 2006 to 2009,the monthly mean sea fog day frequency,spatial distribution and seasonal variation characteristics of sea fog over China’s adjacent sea area were obtained. |
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| Keywords: | sea fog MTSAT geostationary satellite spatial distribution seasonal variation |
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