Extreme weather events are becoming a high threat to people with the climate change and increasing landuse pattern changes. Proper investigations on them are very important for adaptation and mitigation. Weather forecasting' can be performed by Dynamical downscaling and Statistical downscaling taking boundary conditions from General Circulation Models. Weather Forecasting (WRF) model is a mesoscale numerical weather prediction and an atmospheric simulation program created for both operational weather forecasting and research requirements that is widely used for dynamical downscaling. Statistical downscaling is computationally inexpensive and involves various approaches like delta method and machine learning. The forecasted weather would be useful for flood forecasting and in other Engineering applications such as landslide and traffic forecasting. However, there are issues related to the uncertainties of the weather forecasting and many challenges are ahead. In this light, this talk will discuss weather forecasting research and its potential applications.