Performance evaluation of WRF/CALMET integrated model in expanding inflow wind field to air quality models

In this study we explore the efficiency and usefulness of integrating WRF model with CALMET model in order to generate high accurate wind field. On the first stage three dimentional wind field of the region was processed using WRF model and the result made available to CALMET model as an initital guess. On the second stage the WRF model was put aside and surface meteorological data along with the athmosphere above the Mehrabad meterological station. Finally, the CALMET model was implemented using the combination of WRF model data and observational data. Then the efficiency of mentioned methods was explored using statistical analysis, comparing temperature profiles, wind speed and simulated data with observational data of Imam Khomeni airport meterological station in the intended period. Results of the statistical indexs which were used in this study including index Of agreement (IOA), mean bias erro (MBE), root mean-square error (RMSE) and mean absolute error (MAE) indicate the high power of WRF/CALMET integrated model in simulating wind field of the region so that the value of index of agreement for wind speed in the first stage is 0.70-0.85, in the second stage is 0.59-0.83 and in the third stage is 0.76-0.90. Generally the results of this study shows that using and combining the outputs of WRF model with observational data as input for CALMET model is an efficient way for generating accurate metetological data for studying air quality modeling specially in countries like Iran in which the upper athmospher data is hardly measured.