Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations

arXiv:2404.08522v1 Announce Type: new
Abstract: Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance. Nevertheless, the development of an efficient DA system poses significant challenges, particularly in establishing intricate relationships between the background data and the vast amount of multi-source observation data within limited time windows in operational settings. To address these challenges, researchers design complex pre-processing methods for each observation type, …

abstract analysis arxiv challenges cs.lg data deep learning development forecast framework generalized impacts numerical numerical weather prediction nwp performance physics.ao-ph prediction relationships role satellite systems type weather weather prediction