Evaluation of the RadEst and ClimGen Stochastic Weather Generators forLow-Medium Rainfall Regions

Journal of Applied Sciences 7 (19): 2900-2903, 2007

The aim of present study is to generate the daily weather values for maximum and minimum airtemperatures and solar radiation. Two well known weather generators are evaluated here. Data from the fiveIranian synoptic stations having long-term weather records and dry climates have been used to compare theactual data sets with generated one. The accuracy of the different weather generators models was evaluatedby means of three widely used statistics : Correlation coefficient (R), Root Mean Square Error (RMSE) and MeanBias Error (MBE). For maximum and minimum temperatures, Bushehr's data show the lowest RMSE andEsfahan's data show the highest RMSE. For radiation data, RMSEs of all of the stations are very high, exceptfor Esfahan station. Ingenerai, the computed values of temperature are in good agreement with the data derivedby the observation, but the computed values for radiation do not indicate a good agreement with the measureddata.

I've Read This
  • 31 Views

    
    
  

Readers

Recent searches finding this paper
www.radest.com via Google
climgen+download via Google
research papers on radest and solar radiation via Google
ClimGen via Google
stochastic weather via Google
stochastic weather via Google
climgen via Google
CLIMGEN via Google
CLIMGEN via Google
climgen software+download via Google
evaluation of ClimGen via Google
radest climate via Google
ClimGen via Google
climgen+eslamian via Google
ClimGen climate change via Google
 

Academia © 2009