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

Document Type : Research Article

Authors

1 Faculty of Water and Environment, Shahid Beheshti University, Tehran, Iran

2 Department of Environmental Technologies, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran

Abstract

The necessity of having comprehensive information on wind field in a particular area is important for various reasons. How air pollutants are scattered and released is one of the most important ones. In this study we explore the efficiency and usefulness of integrating WRF mesoscale numerical model with CALMET meteorological calculation model in order to generate high accurate wind field in a region centered in Tehran in a five days period from 5th to 10th July 2014. On the first stage three dimensional wind fields of the region were processed using WRF model and the result made available to CALMET model as an initial guess. On the second stage the WRF model was put aside and surface meteorological data along with the atmosphere above the Mehrabad metrological station were processed using SMERGE and READ62 model respectively; the results used directly in CALMET model. 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 metrological station in the intended period. Results of the statistical indexes which were used in this study including index of agreement (IOA), mean bias error (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 metrological data for studying air quality modeling specially in countries like Iran in which the upper atmosphere data is hardly measured.

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