Improving air quality assessment using physics-inspired deep graph learning

Li, Lianfa; Wang, Jinfeng; Franklin, Meredith; Yin, Qian; Wu, Jiajie; Camps-Valls, Gustau; Zhu, Zhiping; Wang, Chengyi; Ge, Yong; Reichstein, Markus

doi:10.1038/s41612-023-00475-3

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Journal Article

Improving air quality assessment using physics-inspired deep graph learning

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Reichstein, Markus
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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https://doi.org/10.1038/s41612-023-00475-3
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Citation

Li, L., Wang, J., Franklin, M., Yin, Q., Wu, J., Camps-Valls, G., et al. (2023). Improving air quality assessment using physics-inspired deep graph learning. npj Climate and Atmospheric Science, 6: 152. doi:10.1038/s41612-023-00475-3.

Cite as: https://hdl.handle.net/21.11116/0000-000D-BEC8-C

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