This paper aims to predict ground temperature variation with depth for time variant ambient air temperature and solar radiation data for Jamshedpur, India. Fourier series and CFD techniques have been employed to determine diurnal and annual temperature variations for the hottest and the coldest days of the year 2015. The diurnal temperature variation is up to 0.2m depth of soil whereas annual temperature variation is up to 3m depth.

soil temperature, CFD simulation, Fourier series.