Anthropogenic developments such as construction of buildings, highways, parking lots, driveways and streets are the major cause of population and urbanization. This emergence has led to drastic change in the urban roughness that in turn affects the urban climate and urban wind flow patterns. In this study, the open source numerical weather prediction model- WRF (weather research forecasting) integrated with urban physics parameterization has been used for downscaling the National Centre for Environmental Prediction (NCEP) data (1° X 1°) to urban scale (~1km) grid. Two sets of simulation were examined for Dehradun & its surrounding using GTOPO(1km)&USGS(1km) as one data set and SRTM(90m)&AWiFS(56m) as second data set, both of them are open source data sets .The results were analysed with respect to ground observation(Automatic Weather station ID IMDBO318_16913_KARANPUR_DEHRADUN) for the period 14Jun to 16 Jun 2013. The resultant RMSE values are 4.96, 5.41 and 5.10 using GTOPO &USGS and 1.83, 2.92 and 4.04 using SRTM & AWiFS data sets. it clearly shows that RMSE values has been reduced with the use of SRTM & AWiFS data sets. Thus the study concludes that AWiFS & SRTM being a high resolution land use and topography can give better results for climatic parameter simulation.
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