Abstract
Abstract. In this study geospatial forecast model WRF (Weather Research & Forecast) has been used to simulate weather variables over Western Himalaya, India. WRF produces simulation which is based on idealized condition or actual atmospheric conditions includes both observation and analyses. WRF Pre-Processing System setup is a collection of Fortran and C programs which requires static and meteorological input data having specific resolution and can be used for nested domain i.e., for more than one grid. For the simulation purpose of the model real time atmospheric data has been used and the result has been compared with existing products. The output generated was for a single time-period with 30 km and 10 km of spatial resolution for outer and inner nest respectively which cover the study area. Mid of May month has been preferred for this study and analysis of the result carried out. Accumulated precipitation and surface soil moisture is very less in lower region whereas as we move up, there is inflation of these two parameters. Similarly, the temperature is very high in lower region in both cases of surface temperature as well as temperature at 2 m above the earth surface.
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