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Accurate medium-range global weather forecasting with 3D neural networks

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Correction Crossref 37 open · 37 total · 0 disputed
DOI
10.1038/s41586-023-06185-3
Notice DOI
10.1038/s41586-023-06545-z
Event date
2023-09-14
Machine twin
JSON

01One-hop citing occurrences

Correction Open
CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting

ref [11] · 2604.12180 · notice #1802 · dispute

Raw extraction · citation context

: Tcip-net: Quantifying radial structure evolution for tropical cyclone inten- sity prediction. IEEE Trans. Geosci. Remote Sens.62, 4109314 (2024) https: //doi.org/10.1109/tgrs.2024.3450711 [10] Huang, C.,et al.: Benchmark dataset and deep learning method for global tropi- cal cyclone forecasting. Nat. Commun.16, 5923 (2025) https://doi.org/10.1038/ s41467-025-61087-4 [11] Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., Tian, Q.: Accurate medium-range global weather forecasting with 3d neural networks. Nature619(7970), 533-538 (2023) https://doi.org/10.1038/s41586-023-06185-3 [12] Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., Merose, A.

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: Tcip-net: Quantifying radial structure evolution for tropical cyclone inten- sity prediction. IEEE Trans. Geosci. Remote Sens.62, 4109314 (2024) https: //doi.org/10.1109/tgrs.2024.3450711 [10] Huang, C.,et al.: Benchmark dataset and deep learning method for global tropi- cal cyclone forecasting. Nat. Commun.16, 5923 (2025) https://doi.org/10.1038/ s41467-025-61087-4 [11] Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., Tian, Q.: Accurate medium-range global weather forecasting with 3d neural networks. Nature619(7970), 533-538 (2023) https://doi.org/10.1038/s41586-023-06185-3 [12] Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., Merose, A

Correction Open
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models

ref [7] · 2604.06567 · notice #1806 · dispute

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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,

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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

Correction Open
AxiomOcean: Forecasting the Three-Dimensional Structure of the Upper Ocean

ref [16] · 2605.10455 · notice #1807 · dispute

Raw extraction · citation context

As a result, even advanced numerical systems can struggle to maintain realistic upper- ocean thermal structure and subsurface adjustment in short-range forecasting. Recent progress in artificial intelligence has created a new pathway for geophysical prediction. In weather forecasting, data-driven models now achieve remarkable skill at far lower computational cost than traditional numerical systems [16-20]. This success has rapidly motivated parallel developments in ocean prediction, including regional neural forecasting systems, digital twins, and emerging global AI ocean models [21-25]. Yet the ocean poses a distinct challenge: short-term forecast skill depends strongly on the integrity of a stratified water column. Many existing AI ocean models flatten the three-dimensional ocean state into collections of
Correction Open
ShardTensor: Domain Parallelism for Scientific Machine Learning

ref [11] · 2605.11111 · notice #1808 · dispute

Raw extraction · citation context

, "Accurate medium-range global weather forecasting with 3d neural networks,"Nature, vol. 619, no. 7970, pp. 533-538, 2023. [Online]. Available: https://doi.org/10.1038/s41586-023-06185-3 [10] J. Degraveet al., "Magnetic control of tokamak plasmas through deep reinforcement learning,"Nature, vol. 602, no. 7897, pp. 414-419, 2022. [Online]. Available: https://doi.org/10.1038/s41586-021-04301-9 [11] G. Carleoet al., "Machine learning and the physical sciences,"Rev. Mod. Phys., vol. 91, p. 045002, Dec 2019. [Online]. Available: https://link.aps.org/doi/10.1103/RevModPhys.91.045002 [12] A. Karthikeyan and U. D. Priyakumar, "Artificial intelligence: machine learning for chemical sciences,"Journal of Chemical Sciences, vol. 134, no. 1, p. 2, 2021.

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"Accurate medium-range global weather forecasting with 3d neural networks,"Nature, vol. 619, no. 7970, pp. 533-538, 2023. [Online]. Available: https://doi.org/10.1038/s41586-023-06185-3 [10] J. Degraveet al., "Magnetic control of tokamak plasmas through deep reinforcement learning,"Nature, vol. 602, no. 7897, pp. 414-419, 2022. [Online]. Available: https://doi.org/10.1038/s41586-021-04301-9 [11] G. Carleoet al., "Machine learning and the physical sciences,"Rev. Mod. Phys., vol. 91, p. 045002, Dec 2019. [Online]. Available: https://link.aps.org/doi/10.1103/RevModPhys.91.045002 [12] A. Karthikeyan and U. D. Priyakumar, "Artificial intelligence: machine learning for chemical sciences,"Journal of Chemical Sciences, vol. 134, no. 1, p. 2, 2021

Correction Open
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models

ref [7] · 2604.06567 · notice #1812 · dispute

Raw extraction · bibliography line

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,

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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

Correction Open
Wavelet Flow Matching for Multi-Scale Physics Emulation

ref [2] · 2605.16573 · notice #1815 · dispute

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Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. Accurate medium-range global weather forecasting with 3D neural networks.Nature, 619(7970):533– 538, July 2023. ISSN 1476-4687. doi: 10.1038/s41586-023-06185-3. URL https://doi. org/10.1038/s41586-023-06185-3
Correction Open
Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work

ref [4] · 2606.25076 · notice #1817 · dispute

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doi: 10.1038/s41586-023-06185-3. Cristian Bodnar, Wessel P Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan Weyn, Haiyu Dong, Anna Vaughan, et al. A foundation model for the earth system.Nature, 641:1180–1187,

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doi: 10.1038/s41586-023-06185-3. Cristian Bodnar, Wessel P Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan Weyn, Haiyu Dong, Anna Vaughan, et al. A foundation model for the earth system.Nature, 641:1180–1187

Correction Open
The physics of AI weather models

ref [5] · 2605.23778 · notice #1818 · dispute

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Bi, K., L. Xie, H. Zhang, X. Chen, X. Gu, and Q. Tian, 2023: Accurate medium-range global weather forecasting with 3D neural networks. Nature, 619 (7970), 533--538, doi:10.1038/s41586-023-06185-3, ://www.nature.com/articles/s41586-023-06185-3
Correction Open
MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones

ref [3] · 2606.24263 · notice #1819 · dispute

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Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., Tian, Q.: Accurate medium-range global weather forecasting with 3D neural networks. Nature619(7970), 533–538 (Jul 2023). https://doi.org/10.1038/s41586-023-06185-3 Generative multi-source spatiotemporal interpolation of tropical cyclones 17
Correction Open
Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction

ref [85] · 2606.19642 · notice #1822 · dispute

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Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi , month = jul, year =. Accurate medium-range global weather forecasting with. Nature , publisher =. doi:10.1038/s41586-023-06185-3 , language =

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Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi, month = jul, year =. Accurate medium-range global weather forecasting with. Nature, publisher =. doi:10.1038/s41586-023-06185-3, language =

Correction Open
Towards Fair Comparisons of AI- and Physics-Based Weather Models for Extreme Events via the Weighted Potential CRPS

ref [7] · 2606.21170 · notice #1823 · dispute

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Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi , year = 2023, month = jul, journal =. Accurate Medium-Range Global Weather Forecasting with. doi:10.1038/s41586-023-06185-3 , urldate =

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Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi, year = 2023, month = jul, journal =. Accurate Medium-Range Global Weather Forecasting with. doi:10.1038/s41586-023-06185-3, urldate =

Correction Open
AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning

ref [4] · 2606.19093 · notice #1824 · dispute

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doi:10.1038/s41586-023-06185-3. Eulalie Boucher, Mihai Alexe, Peter Lean, Ewan Pinnington, Simon Lang, Patrick Laloyaux, Lorenzo Zampieri, Patricia de Rosnay, Niels Bormann, and Anthony McNally. Learning coupled earth system dynamics with GraphDOP.arXiv preprint,

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doi:10.1038/s41586-023-06185-3. Eulalie Boucher, Mihai Alexe, Peter Lean, Ewan Pinnington, Simon Lang, Patrick Laloyaux, Lorenzo Zampieri, Patricia de Rosnay, Niels Bormann, and Anthony McNally. Learning coupled earth system dynamics with GraphDOP.arXiv preprint

Correction Open
Performance Evaluation of GraphCast for Medium-Range Weather Forecasting over Brazil

ref [43] · 2606.06348 · notice #1827 · dispute

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Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi , year =. Accurate medium-range global weather forecasting with 3D neural networks , volume =. Nature , publisher =. doi:10.1038/s41586-023-06185-3 , number =

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Bi, Kaifeng and Xie, Lingxi and Zhang, Hengheng and Chen, Xin and Gu, Xiaotao and Tian, Qi, year =. Accurate medium-range global weather forecasting with 3D neural networks, volume =. Nature, publisher =. doi:10.1038/s41586-023-06185-3, number =

Correction Open
Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting

ref [6] · 2605.00850 · notice #1801 · dispute

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ISSN 1476-4687. doi: 10.1038/s41586-023-06185-3. URLhttps://doi.org/10.1038/s41586-023-06185-3. C. Bodnar, W. P. Bruinsma, A. Lucic, M. Stanley, A. Allen, J. Brandstetter, P. Garvan, M. Riechert, J. A. Weyn, H. Dong, et al. A foundation model for the earth system.Nature, pages 1–8,

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ISSN 1476-4687. doi: 10.1038/s41586-023-06185-3. URLhttps://doi.org/10.1038/s41586-023-06185-3. C. Bodnar, W. P. Bruinsma, A. Lucic, M. Stanley, A. Allen, J. Brandstetter, P. Garvan, M. Riechert, J. A. Weyn, H. Dong, et al. A foundation model for the earth system.Nature, pages 1–8

Correction Open
Regimes of Scale in AI Meteorology

ref [7] · 2604.06000 · notice #1804 · dispute

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Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. 2023. Accurate Medium-Range Global Weather Forecasting with 3D Neural Networks.Nature619, 7970 (July 2023), 533–538. doi:10.1038/s41586-023-06185-3

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