We then calculated maximum and minimum temperatures, dew point temperature, and apparent temperatures (AT) for each day in the time period and averaged the maximum and minimum ATs on each day to derive a daily average AT measure.
The proposed method was applied to generate six daily weather variables (maximum temperature, minimum temperature, dew point temperature, solar radiation, wind speed, and precipitation) of the summer season (June September) for a station in Seoul, South Korea.
From the Hong Kong Observatory [22] we retrieved daily meteorological observations including temperature (maximum, mean, minimum), mean dew point temperature, mean relative humidity, global solar radiation and total evaporation.
To assess the robustness of our results to lag structure, we examined 5-day distributed lag models (lags 0 4), with control for minimum and dew point temperature adjusted to include the moving average of lags 1 4 and 0 4, respectively.
We downloaded GSOD (global summary of day) measurements of daily maximum, mean (of maximum and minimum), and dew point temperatures (degrees Fahrenheit) for the Salt Lake City International Airport (one site) from the Climate Database server on the Utah Climate Center website (Utah State University 2012) and converted them to degrees Celsius.
This data includes daily mean air temperature, dew point (minimum, mean and max), relative humidity (minimum and maximum), maximum wind speed, air pressure (minimum and maximum) as well as maximum solar radiation.
The input feature vector includes average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed, average cloudiness and output layer composed of two neurons to represent rainy and dry weather.
The main input features employed to train individual and hybrid neural networks that include average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed and average cloudiness.
Daily temperature data in 2001 2004, including daily average temperature (Tavg), daily maximum temperature (Tmax), daily minimum temperature (Tmin), and dew point, were generated by WRF on a 4-km × 4-km grid in the study area.
City-wide daily minimum temperature, mean temperature, and dew point temperature were averaged across the four stations.
