Example data set for the year 2005 with hourly global irradiation data.
Data frame with the following columns:
time in UTC, the year is 2005
global irradiation, hourly sum in J/cm^2. The series contains some missing data.
global irradiation, hourly sum in J/cm^2; missing date were arbitrarily replaced with corresponding data from the next year.
logical if the value in irad2 is a measured value from the original data set or not.
Data taken from Deutscher Wetterdienst http://www.dwd.de, station Dresden Klotzsche (Germany), station number1048.
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## derive daily sums (J/cm^2/d) data(irad) irad$day <- floor(as.numeric(irad$time)/60/60/24) daily <- aggregate(list(irad = irad$irad2[-1]), list(day=irad$day[-1]), sum) daily$time <- as.POSIXct((daily$day) * 60*60*24, origin = "1970-01-01 00:00.00 UTC") daily <- data.frame( time = as.POSIXct(format(daily$time, "%Y-%m-%d")), irad = daily$irad ) plot(daily, type="l", xlab="2005", ylab = "global irradiation (J/cm^2/d)")
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