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Author

Lei Bai

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Aug 2026

FengYuan: An End-to-End Global Weather Forecasting Model Driven by Multi-Source Observational Data

The complete end-to-end system of FengYuan achieves forecast quality very close to the reanalysis-driven version while consistently outperforming IFS throughout the 10-day forecast period, demonstrating that FengYuan successfully bridges observations to forecasts while maintaining high accuracy.

Zhao-Ming Liang, Yang Li, Ya-Qiang Wang et al. · 0 citations
2025

LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting

Experimental results show that LoRA-EnVar significantly improves assimilation accuracy over models assuming static background error distribution and achieves comparable or better performance than full finetuning while reducing the number of trainable parameters by three orders of magnitude.

Yi Xiao, Hang Fan, Kun Chen et al. · 3 citations

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