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http://dx.doi.org/10.14191/Atmos.2012.22.2.163

Detection of Sea Fog by Combining MTSAT Infrared and AMSR Microwave Measurements around the Korean peninsula  

Park, Hyungmin (Department of Atmospheric Sciences, Division of Earth Environmental System, Pusan National University)
Kim, Jae Hwan (Department of Atmospheric Sciences, Division of Earth Environmental System, Pusan National University)
Publication Information
Atmosphere / v.22, no.2, 2012 , pp. 163-174 More about this Journal
Abstract
Brightness temperature (BT) difference between sea fog and sea surface is small, because the top height of fog is low. Therefore, it is very difficult to detect sea fog with infrared (IR) channels in the nighttime. To overcome this difficulty, we have developed a new algorithm for detection of sea fog that consists in three tests. Firstly, both stratus and sea fog were discriminated from the other clouds by using the difference between BTs $3.7{\mu}m$ and $11{\mu}m$. Secondly, stratus occurring at a level higher than sea fog was removed when the difference between cloud top temperature and sea surface temperature (SST) is smaller than 3 K. In this process, we used daily SST data from AMSR-E microwave measurements that is available even in the presence of cloud. Then, the SST was converted to $11{\mu}m$ BT based on the regressed relationship between AMSR-E SST and MTSAT-1R $11{\mu}m$ BT at 1733 UTC over clear sky regions. Finally, stratus was further removed by using the homogeneity test based on the difference in cloud top texture between sea fog and stratus. Comparison between the retrievals from our algorithm and that from Korea Meteorological Administration (KMA) algorithm, shows that the KMA algorithm often misconceived sea fog as stratus, resulting in underestimating the occurrence of sea fog. Monthly distribution of sea fog over northeast Asia in 2008 was derived from the proposed algorithm. The frequency of sea fog is lowest in winter, and highest in summer especially in June. The seasonality of the sea fog occurrence between East and West Sea was comparable, while it is not clearly identified over South Sea. These results would serve to prevent the possible occurrence of marine accidents associated with sea fog.
Keywords
sea fog; satellite; remote sensing; sea surface temperature;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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