Typical values for UV
|Last update: Jul. 2017|
This resource calculates UV Global and Diffuse radiation (UVA, UVB, and Erythemal) over a horizontal plane in clear sky and all sky conditions. Hourly values are typical based on climatological data, and are then summed to daily and monthly values.General input variables.
1. Spectral part of UV: UVA, UVB or Erythemal clear sky (cs) and all sky (as) radiation.
2. Ozone [DU] (fix value); if not set, mean values are taken.
3. Angstrom Beta (fix value); if not set, mean values are taken.
4. Water vapour [cm] (fix value); if not set, mean values are taken.
5. Angstrom Beta (optional).
6. Ozone (optional).
7. Water vapour (optional).
8. Linke turbidity for airmass 2 (optional).
9. Day: Day of month (if output of only one day is wished).
The resource accesses the databases of SODA Linke turbidity for airmass 2 (maps: January, February, March, April, May, June, July, August, September, October, November, December) , water vapour in cm, based on NASA NVAP data 1987-96, (maps: January, February, March, April, May, June, July, August, September, October, November, December) and Ozone [D.U.], based on GOME data 1996-2000: January, February, March, April, May, June, July, August, September, October, November, December). The standard deviation of Ozone during the 5 years is shown for 4 months in the following maps: January, April, July, October. If not given, beta is calculated with TL and water vapour as input. If water vapour and beta is given, TL is calculated. The UV parts are calculated according a new set of algorithms based on smart2 calculations.
This resource makes use of a slightly changed clear-sky model of the European Solar Radiation Atlas (see the ESRA handbook , volume 2). It simulates the hourly irradiances in W.m-2 under clear skies for any geographical location, any day and any elevation.
The clear-sky model is also described in the following article: Rigollier C., Bauer O., Wald L., 2000. On the clear sky model of the 4th European Solar Radiation Atlas with respect to the Heliosat method. Solar Energy, 68(1), 33-48.