FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting

arXiv:2405.05925v1 Announce Type: new
Abstract: Ensemble weather forecasting is essential for weather predictions and mitigating the impacts of extreme weather events. Constructing an ensemble prediction system (EPS) based on conventional numerical weather prediction (NWP) models is highly computationally expensive. Machine learning (ML) models have emerged as valuable tools for deterministic weather forecasts, providing forecasts with significantly reduced computational requirements and even surpassing the forecast performance of traditional NWP models. However, challenges arise when applying ML models to ensemble forecasting. Recent …

abstract arxiv cs.ai cs.lg ensemble events forecasting impacts machine machine learning machine learning model medium numerical numerical weather prediction nwp prediction predictions tools type weather weather forecasting weather prediction