Towards an end-to-end artificial intelligence driven global weather forecasting system

arXiv:2312.12462v2 Announce Type: replace-cross
Abstract: The weather forecasting system is important for science and society, and significant achievements have been made in applying artificial intelligence (AI) to medium-range weather forecasting. However, existing AI-based weather forecasting models rely on analysis or reanalysis products from the traditional numerical weather prediction (NWP) systems as initial conditions for making predictions. Initial states are typically generated by traditional data assimilation component, which is computational expensive and time-consuming. Here we present an AI-based data assimilation model, …

abstract analysis artificial artificial intelligence arxiv cs.ai cs.lg forecasting global intelligence medium numerical numerical weather prediction nwp physics.ao-ph prediction products science society systems type weather weather forecasting weather prediction