Estimation of some meteorological parameters using hard and soft computing tools

Abstract

Study of meteorological parameters is essential in deciding the effect on each other while finding out the best possible solution and the estimations for hydrological and meteorological parameters. The study involves in correlating all the measured parameters at Shivade catchment area of Narmada basin. The correlation on the observed parameters is carried out to perform overall sensitivity analysis. Out of al metrological parameters two of them are analyzed in this paper namely Dry bulb temperature and wet bulb temperature. The Dry Bulb and Wet Bulb Temperatures are important to determine the state of humid air. The knowledge of only two of these values is enough to determine the state including the content of water vapour and the sensible and latent energy. The meteorological parameters have been estimated using Multiple linear regression and artificial neural network (ANN). The meteorological parameters collected from Shivade catchment area. The data extended over a period from January 2002 to December2010 including only the monsoon months. Amongst the two methods, the ANN model exhibited better estimation values of the meteorological parameters.