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Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 19 | Page No.: 2900-2903
DOI: 10.3923/jas.2007.2900.2903
 
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Evaluation of the RadEst and ClimGen Stochastic Weather Generators for Low-Medium Rainfall Regions
Isaac Moradi, Kazem Nosrati and Saeid Eslamian

Abstract:
The aim of present study is to generate the daily weather values for maximum and minimum air temperatures and solar radiation. Two well known weather generators are evaluated here. Data from the five Iranian synoptic stations having long-term weather records and dry climates have been used to compare the actual data sets with generated one. The accuracy of the different weather generators models was evaluated by means of three widely used statistics: Correlation coefficient (R), Root Mean Square Error (RMSE) and Mean Bias Error (MBE). For maximum and minimum temperatures, Bushehr’s data show the lowest RMSE and Esfahan’s data show the highest RMSE. For radiation data, RMSEs of all of the stations are very high, except for Esfahan station. In general, the computed values of temperature are in good agreement with the data derived by the observation, but the computed values for radiation do not indicate a good agreement with the measured data.
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How to cite this article:

Isaac Moradi, Kazem Nosrati and Saeid Eslamian, 2007. Evaluation of the RadEst and ClimGen Stochastic Weather Generators for Low-Medium Rainfall Regions. Journal of Applied Sciences, 7: 2900-2903.

DOI: 10.3923/jas.2007.2900.2903

URL: https://scialert.net/abstract/?doi=jas.2007.2900.2903

 
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