Temperature induced mean based cloud motion prediction model from satellite infrared images

Detection and identification of convective clouds can be done from thermal infrared (TIR) images (10.5-12.5μm) as clouds are associated with extremely low temperature. Clouds can be tracked from a given sequence of satellite images, and becomes useful for weather now-casting. There are several models available for cloud motion prediction. Adjusted Mean Based Prediction (AMBP) Model is one of them. A modified model of AMBP, based on temperature, for cloud movement tracking has been proposed and presented in this paper for better prediction.