Prediction of Atmospheric varibilities in North East India during Tropical Cyclones: Use of Numerical Weather Prediction Model and back propagation Artificial Neural Network (ANN)

The precurssive atmospheric features induced in temperature, precipitation and wind by cyclones generated at Bay of Bengal (BoB), are extracted by using numerical weather prediction model VARSHA. The track of the cyclones are also projected through wind circulation pattern from the model output. Further, back propagation Artificial Neural Network (ANN) technique is adopted for identifying predictive features in temperature for translation these information in forecasting precipitation over North East India. The reliability of both approaches are discussed.