Evaluation of SIMETAW Model For Simulation of Meteorological Parameters and Potential Evapotranspiration in Four Different Climates

Different models are provided for estimation of evapotranspiration that the main difference between them is the number of meteorological parameters needed,but due to the lake of the reliable long-term data in some stations,use of model with little data is needed and it will be necessary to help planners. The Simulation of EvapoTranspiration of Applied Water (SIMETAW) model is used for simulation of weather data from climatic records and estimation of reference and crop evapotranspiration with the simulation data. In this study, using the monthly values of four synoptic stations (Rasht: Very wet climate; Shahrekord: Semi arid climate; Ahvaz: Arid climate and Sanandaj: Moderate climate) in the period of 1961 to 2001, the ability of model for simulation of climate variables (maximum temperature, minimum temperature, dew point temperature, wind speed, solar radiation and precipitation) and potential evapotranspiration was evaluated and daily simulated using meteorological data, were compared with calculated values of potential evapotranspiration from observed meteorological data. To compare the results, were used from Coefficient of Determination ( ), Root Mean Square Error (RMSE) and index of agreement (d). The results showed that model simulations in all stations has acceptable accuracy. The highest accuracy in simulation maximum temperature( =0.9954)and precipitation( =0.3716) related to mediterranean climate, minimum temperature( =0.9947) and dew point temperature( =0.9942) Related to humid climate, wind speed( =0.8094) related to dry climate and solar radiation( =0.9902) related to semi-arid climate. The highest accuracy of SIMETAW model in simulated evapotranspiration related to Mediterranean climate( =0.9936), semi-arid climate( =0.9935), dry climate( =0.9903) and very wet climate( =0.9846) Respectively. Given the high correlation between simulated and observed values, SIMETAW model can be used for simulation of the climate data and estimate the potential evapotranspiration, net irrigation requirement and also filling the gaps in four climatic regions.