Atlantic Hurricane Activity Prediction: A Machine Learning Approach

Long-term hurricane predictions have been of acute interest in order to protect the community from loss lives, and environmental damage. Such help by providing an early warning guidance for any proper precaution planning. In this paper, we present a machine learning model capable making good preseason-prediction Atlantic activity. The development entails judicious non-linear fusion various data modalities such as sea-level pressure (SLP), sea surface temperature (SST), wind. A Convolutional Neural Network (CNN) was utilized feature extractor each modality. This is followed level achieve inference. highly further shown potential make skillful up 18 months advance.