Short-term Fog Forecasting Based on Fuzzy Membership Function
Selecting ground hourly observation meteorological data around Luogang Airport during 2010 - 2011, several fuzzy membership functions of annual, seasonal, monthly, short-term temperature increasing and deceasing channel were established; according to observation data 3 hours before fog, the humidity and visibility variation trend were analyzed; combining temperature channel information and variation trend of future humidity and visibility to predict whether the fog would happen in three hours or not. Finally, ground data during 2006 - 2009 showed that the fog occurrence in the next three hours predicted by the method reached an accuracy at 92.77% , TS scored 0. 828. The short-term fog forecasting method based on fuzzy membership function is efficient.
FogShort-term forecastingFuzzy membership function
国家科技期刊平台
NSTL
万方数据
维普
