Title of article :
Analysis of Fog Probability from a Combination of Satellite and Ground Observation Data
Author/Authors :
Vincent Guidard، نويسنده , , Diane Tzanos ، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2007
Abstract :
The Cloud Type product, developed by the Satellite Application Facility to support to
nowcasting and very short-range forecasting (SAFNWC) of EUMETSAT and based on Me´ te´osat-8/
SEVIRI, identifies cloud categories, and especially low and very low clouds which are first estimates of
areas where fog is likely to occur. This cloud type is combined with precipitation information from radar
data and with hourly diagnostic analyses of 2-metre relative humidity and 10-metre wind to elaborate an
hourly analysis of fog probability. This analysis provides four levels of fog probability with a 3-kilometre
horizontal resolution: No risk, low-level risk, medium-level risk and high-level risk. An evaluation of such
fog probability analyses versus a one-year set of French hourly SYNOP reports shows encouraging results
(potential of detection = 0.73 for low and medium and high-level risks), even if false alarm ratios remain
high. Most of the non-detections occur at twilight and are due to satellite non-detections. Eventually, we
show case studies that clearly illustrate the high potential of the method.
Keywords :
Fog analysis , Data fusion , fog probability.
Journal title :
Pure and Applied Geophysics
Journal title :
Pure and Applied Geophysics