Outdoor air temperature in Finland

This page is a knowledge crystal of subtype variable. The page identifier is Op_en2959
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Question

What are the outdoor air temperatures in Finland previously, now and in the future in different climate areas?

Rationale

Data from Statistics Finland:

• Current temperature, wind, and solar radiation
• Future temperature, wind, and solar radiation
• The data contains the following parameters: Timestep Year Month Day Time Temperature(°C) Relative_humidity(%) Wind_direction(degrees) Wind_speed(m/s) Direct_normal_solar_radiation(W/m2) Diffuse_horisontal_radiation(W/m2) Global_horisontal_radiation(W/m2)

Calculations

+ Show code- Hide code ## This is code is Op_en2959/temperatures [[Outdoor air temperature in Finland]] library(OpasnetUtils) ta <- opbase.data("Op_en2959", subset = "Vantaa") # [[Outdoor air temperature in Finland]] hours <- as.character(ta$Date) hours <- as.POSIXct(strptime(hours, format = "%Y-%b-%d %H:%M:%S")) hours <- hours + as.difftime(as.character(ta$Time), format = "%H:%M") # Adjust temperature data: 2.3 C is the average difference between Kuopio and Helsinki hours <- data.frame(Time = hours, Result = as.numeric(as.character(ta$Result)) + 2.3) hours <- hours[!is.na(hours$Result) , ] hours$Date <- as.POSIXct(strptime(format(hours$Time, "%Y-%m-%d"), format = "%Y-%m-%d")) hours <- hours[hours$Time >= as.POSIXct("2014-03-01 00:00:00") & hours$Time < as.POSIXct("2015-03-01 00:00:00") , ] days <- aggregate(hours["Result"], hours["Date"], FUN = mean) days$Temperature <- cut(days$Result, breaks = seq(-30, 33, 3)) temperatures <- Ovariable("temperature", data = aggregate(days["Result"], days["Temperature"], FUN = mean)) temperdays <- Ovariable("temperdays", data = aggregate(days["Result"], days["Temperature"], FUN = length)) objects.store(temperatures, temperdays) cat("Objects temperature, temperdays stored.\n") #ggplot(hours, aes(x = Time, y = Result))+geom_line() + geom_point(data = days, aes(x = Date, y = Result, colour = "Daily mean", size = 2)) #ggplot(hours, aes(x = Time, y = Result))+geom_point()

See also

• CLAIH assessment