By Ismail Gultepe
This topical quantity of the magazine of natural and utilized Geophysics makes use of new info no longer formerly obtainable for fog comparable examine; it specializes in floor and distant sensing observations of fog, a number of numerical version purposes utilizing new parameterizations, fog climatology, and new statistical equipment. the consequences offered during this certain factor come from study efforts in North the United States and Europe, almost always from the Canadian Fog distant Sensing And Modeling (FRAM) and eu COST-722 fog/visibility similar projects.
The scholars, postgraduates, and researchers, who're attracted to cloud physics, actual meteorology, aviation meteorology, weather, climate forecasting, and in different adjoining disciplines, can use this ebook as a foundation for destiny advancements in fog learn. it really is was hoping that this e-book will bring about new medical demanding situations in fog similar study, educating, and applications.
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Extra resources for Fog and boundary layer clouds: fog visibility and forecasting
Sample text
D. Thesis, Philipps-Universita¨t Marburg, Germany. CERMAK, J. and BENDIX, J. (2007a), Dynamical nighttime fog/low stratus detection based on Meteosat SEVIRI data – a feasibility study, Pure Appl. Geophys. 164, 7/8, this issue. CERMAK, J. and BENDIX, J. (2007b), A novel approach to fog/low stratus detection using Meteosat 8 data, Atmos. Res. in press. CEWCOM (1977), Cooperative experimental in West Coast oceanography and meteorology, Multi-platform marine fog study, Bull. Am. Meteor. Soc. 58, 1226–1227.
More recently, PETTY et al. (2000) describe a fuzzy logic system for the analysis and prediction of cloud ceiling and visibility. Also HANSEN (2000) reports on the use of such a forecasting system to forecast ceiling and visibility and concludes that the fuzzy system outperforms persistence-based forecasts. In a decision-making process, a Decision Tree is defined as a graphical representation of all the alternatives and the paths by which they may be reached. , 2001). In contrast to neural networks, decision trees represent sets of comprehensible rules.
T. (1995a), Back to basics: Fog: Part 2 – The formation and dissipation of land fog, Weather 50, 7–11. T.