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

机译:分析标准化的每日气温变化和S形函数以检测雾的产生

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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, a,can be used to detect places where the rise in air temperature is delayed. The relationship between a 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 a during each November. Secondly, a is strongly related to the visibility conditions after sunrise. Finally, a is large for observation points where fog occurs quite frequently during autumn, such as in Miyoshi, Hiroshima, Japan.
机译:开发了一种新的方法来评估雾对黎明至中午归一化温度模式的影响。使用S形逼近函数来表征温度过程。此S形函数的一个参数a可用于检测空气温度上升被延迟的地方。分析了α与雾发生之间的关系。鉴定出以下三个发现。首先,在11月有雾的天数与每个11月的a值之间发现正相关。其次,a与日出后的能见度条件密切相关。最后,对于在秋天经常发生雾的观察点,例如在日本广岛的三好市,a很大。

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