Forecasting Tropical Cyclones with Cascaded Diffusion Models

arXiv:2310.01690v4 Announce Type: replace-cross
Abstract: As tropical cyclones become more intense due to climate change, the rise of Al-based modelling provides a more affordable and accessible approach compared to traditional methods based on mathematical models. This work leverages generative diffusion models to forecast cyclone trajectories and precipitation patterns by integrating satellite imaging, remote sensing, and atmospheric data. It employs a cascaded approach that incorporates three main tasks: forecasting, super-resolution, and precipitation modelling. The training dataset includes 51 cyclones from six …

arxiv cs.lg diffusion diffusion models forecasting physics.ao-ph type