For an agro-based country like India, the impact of weather is to a large extent. The prevailing weather conditions turns out to be major affecting factor for the proper development of the country. Therefore it is of utmost importance to know accurately the fore -coming weather conditions so that we can take better decisions to tackle problems. A variety of predictions models have already been developed, backed up with different methods like soft computing, case based reasoning, feature extraction methods etc. A number of researches have been done or being done using the above mentioned approaches for forecasting. This paper discusses the different prediction models available till now along with the comparison of their methodologies applied, their key findings making its study worthwhile for a better start for the generation of a new weather prediction model along with the description of our new methodology for weather prediction using dynamic climate models.