Predicting Indian Ocean Cyclone Parameters Using an Artificial Intelligence Technique

Precise prediction of a cyclone track with wind speed, pressure, landfall point and the time of crossing the land are very essential for the disaster management and mitigation including the evacuation processes. In this paper, we use an artificial neural network (ANN) approach to estimate the cyclone parameters. For this purpose, these parameters are obtained from the International Best Track Archive for Climate Stewardship (IBTrACS), National Oceanic and Atmospheric Administration (NOAA). Since ANN benefits from a large number of data points, each cyclone is divided into different segments. We use the past information to predict the cyclone geophysical parameters. The predicted values are compared with the observations.