Potential Paradigm Shift in Hazard Risk Management: AI-Based Weather Forecast for Tropical Cyclone Hazards

arXiv:2404.18440v1 Announce Type: cross
Abstract: The advents of Artificial Intelligence (AI)-driven models marks a paradigm shift in risk management strategies for meteorological hazards. This study specifically employs tropical cyclones (TCs) as a focal example. We engineer a perturbation-based method to produce ensemble forecasts using the advanced Pangu AI weather model. Unlike traditional approaches that often generate fewer than 20 scenarios from Weather Research and Forecasting (WRF) simulations for one event, our method facilitates the rapid nature of AI-driven model to …

abstract advanced artificial artificial intelligence arxiv astro-ph.ep cs.lg engineer ensemble example forecast hazards intelligence management marks paradigm physics.ao-ph physics.comp-ph risk shift strategies study tcs type weather