Articles | Volume 26, issue 2
https://doi.org/10.5194/acp-26-947-2026
https://doi.org/10.5194/acp-26-947-2026
Research article
 | 
21 Jan 2026
Research article |  | 21 Jan 2026

Intra-city scale graph neural networks enhance short-term air temperature forecasting

Han Wang, Jianheng Tang, Jize Zhang, and Jiachuan Yang

Cited articles

Arnfield, A. J.: Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island, International Journal of Climatology, 23, 1–26, https://doi.org/10.1002/joc.859, 2003. 
Bauer, T. J.: Interaction of Urban Heat Island Effects and Land–Sea Breezes during a New York City Heat Event, Journal of Applied Meteorology and Climatology, 59, 477–495, https://doi.org/10.1175/JAMC-D-19-0061.1, 2020. 
Bergstra, J., Bardenet, R., Bengio, Y., and Kégl, B.: Algorithms for Hyper-Parameter Optimization, Advances in Neural Information Processing Systems, 24, https://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization (last access: 14 January 2026), 2011. 
Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., and Tian, Q.: Accurate medium-range global weather forecasting with 3D neural networks, Nature, 619, 533–538, https://doi.org/10.1038/s41586-023-06185-3, 2023. 
Brody, S., Alon, U., and Yahav, E.: How Attentive are Graph Attention Networks?, in: International Conference on Learning Representations, https://openreview.net/forum?id=F72ximsx7C1 (last access: 14 January 2026), 2021. 
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Short summary
Air temperature (Ta) varies substantially within cities, yet physics-based models struggle to capture this fine-scale variability. We demonstrate that a graph-based approach – leveraging spatial information from sensor networks – can significantly enhance Ta forecasting at individual locations. Furthermore, we introduce an automated framework to streamline graph construction and model implementation. This study also demonstrates the distinct spatiotemporal dynamics of intra-city Ta patterns.
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