Aardvark Weather: end-to-end data-driven weather forecasting

arXiv:2404.00411v1 Announce Type: cross
Abstract: Machine learning is revolutionising medium-range weather prediction. However it has only been applied to specific and individual components of the weather prediction pipeline. Consequently these data-driven approaches are unable to be deployed without input from conventional operational numerical weather prediction (NWP) systems, which is computationally costly and does not support end-to-end optimisation. In this work, we take a radically different approach and replace the entire NWP pipeline with a machine learning model. We present Aardvark …

abstract arxiv components cs.lg data data-driven forecasting however machine machine learning medium numerical numerical weather prediction nwp physics.ao-ph pipeline prediction systems type weather weather forecasting weather prediction