期刊
INTERNATIONAL JOURNAL OF REMOTE SENSING
卷 32, 期 12, 页码 3345-3371出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161003747505
关键词
-
资金
- DFG [Be 1780/8-1, Be 1780/8-3, Be 1780/14-1]
The detection of ground fog from satellite data is of interest in operational now-casting applications, as well as in studies of the climate system. A discrimination between fog at the ground and other low-stratus situations from satellite data requires information on cloud vertical geometry to establish whether the cloud touches the ground. This article introduces a technique that allows for the discrimination between low stratus and (ground) fog on the basis of geostationary satellite imagery. The cloud-base height is derived using a subadiabatic model of cloud microphysics. In this model, the cloud base is varied until model liquid-water path matches that retrieved from satellite data. The performance of this technique is shown to be good in a comparison with METeorological Aerodrome Report data comprising 1030 satellite scenes. With a hit rate of 81% and a threat score of 0.62, the skill is satisfactory.
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