arXiv Machine Learning June 18, 2026 By Tao Han, Zhibin Wen, Zhenghao Chen, Dazhao Du, Song Guo, Lei Bai

Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting

Read the original on arXiv Machine Learning →

arXiv:2406. 14399v4 Announce Type: replace Abstract: The development of Time-Series Forecasting (TSF) models is often constrained by the lack of comprehensive datasets, especially in Global Station Weather Forecasting (GSWF), where existing datasets are small, temporally short, and spatially sparse.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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