Analysis of normalized daily change of air temperature using an S-shaped function to detect fog occurrence

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A new method to evaluate the influence of fog on the pattern of normalized temperature from predawn to noon was developed. An S-shaped approximation function was used to characterize the temperature course. One parameter of this S-shaped function, α, can be used to detect places where the rise in air temperature is delayed. The relationship between α and fog occurrence was analyzed. Three findings were identified as follows. Foremost, a positive correlation was found between the number of days in November with fog and the values of α during each November. Secondly, α is strongly related to the visibility conditions after sunrise. Finally, α is large for observation points where fog occurs quite frequently during autumn, such as in Miyoshi, Hiroshima, Japan.

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