IDEAS home Printed from https://ideas.repec.org/r/nat/nature/v621y2023i7980d10.1038_s41586-023-06545-z.html
   My bibliography  Save this item

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Li Hu Wang & Xue Mei Liu & Yang Liu & Hai Rui Li & Jia QI Liu & Li Bo Yang, 2023. "Emergency entity relationship extraction for water diversion project based on pre-trained model and multi-featured graph convolutional network," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-18, October.
  2. Yingzhe Cui & Ruohan Wu & Xiang Zhang & Ziqi Zhu & Bo Liu & Jun Shi & Junshi Chen & Hailong Liu & Shenghui Zhou & Liang Su & Zhao Jing & Hong An & Lixin Wu, 2025. "Forecasting the eddying ocean with a deep neural network," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  3. Frank Brückerhoff-Plückelmann & Hendrik Borras & Bernhard Klein & Akhil Varri & Marlon Becker & Jelle Dijkstra & Martin Brückerhoff & C. David Wright & Martin Salinga & Harish Bhaskaran & Benjamin Ris, 2024. "Probabilistic photonic computing with chaotic light," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  4. Zhenjia Chen & Zhenyuan Lin & Ji Yang & Cong Chen & Di Liu & Liuting Shan & Yuanyuan Hu & Tailiang Guo & Huipeng Chen, 2024. "Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  5. Francesco Carlucci & Francesco Fiorito, 2024. "Simulation of Responsive Envelopes in Current and Future Climate Scenarios: A New Interactive Computational Platform for Energy Analyses," Energies, MDPI, vol. 17(21), pages 1-26, October.
  6. Chu, Yinghao & Wang, Yiling & Yang, Dazhi & Chen, Shanlin & Li, Mengying, 2024. "A review of distributed solar forecasting with remote sensing and deep learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
  7. Zhao, Yirui & Gan, Wei & Yan, Mingyu & Wen, Jinyu & Zhou, Yue, 2025. "A scalable stochastic scheme for identifying critical substations considering the epistemic uncertainty of contingency in power systems," Applied Energy, Elsevier, vol. 381(C).
  8. Yuchen Cai & Jia Yang & Yutang Hou & Feng Wang & Lei Yin & Shuhui Li & Yanrong Wang & Tao Yan & Shan Yan & Xueying Zhan & Jun He & Zhenxing Wang, 2025. "8-bit states in 2D floating-gate memories using gate-injection mode for large-scale convolutional neural networks," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
  9. Zhou, Zhen & Gu, Ziyuan & Qu, Xiaobo & Liu, Pan & Liu, Zhiyuan & Yu, Wenwu, 2024. "Urban mobility foundation model: A literature review and hierarchical perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  10. Khan, Taimoor & Choi, Chang, 2025. "Attention enhanced dual stream network with advanced feature selection for power forecasting," Applied Energy, Elsevier, vol. 377(PC).
  11. Lei Chen & Xiaohui Zhong & Hao Li & Jie Wu & Bo Lu & Deliang Chen & Shang-Ping Xie & Libo Wu & Qingchen Chao & Chensen Lin & Zixin Hu & Yuan Qi, 2024. "A machine learning model that outperforms conventional global subseasonal forecast models," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  12. Wang, Yaqi & Zhao, Xiaomeng & Li, Zheng & Zhu, Wenbo & Gui, Renzhou, 2024. "A novel hybrid model for multi-step-ahead forecasting of wind speed based on univariate data feature enhancement," Energy, Elsevier, vol. 312(C).
  13. Bai, Huimin & Gong, Zhiqiang & Li, Li & Ma, Junjie & Dogar, Muhammad Mubashar, 2025. "Vegetation coverage variability and its driving factors in the semi-arid to semi-humid transition zone of North China," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
  14. Florian Achermann & Thomas Stastny & Bogdan Danciu & Andrey Kolobov & Jen Jen Chung & Roland Siegwart & Nicholas Lawrance, 2024. "WindSeer: real-time volumetric wind prediction over complex terrain aboard a small uncrewed aerial vehicle," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  15. Fabian Dvorak & Regina Stumpf & Sebastian Fehrler & Urs Fischbacher, 2024. "Generative AI Triggers Welfare-Reducing Decisions in Humans," Papers 2401.12773, arXiv.org.
  16. He, Jinhua & Hu, Zechun & Wang, Songpo & Mujeeb, Asad & Yang, Pengwei, 2024. "Windformer: A novel 4D high-resolution system for multi-step wind speed vector forecasting based on temporal shifted window multi-head self-attention," Energy, Elsevier, vol. 310(C).
  17. Mattia Cavaiola & Federico Cassola & Davide Sacchetti & Francesco Ferrari & Andrea Mazzino, 2024. "Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  18. Zhang, Jia & Ding, Yimin & Zhu, Lei & Wan, Yukuai & Chai, Mingtang & Ding, Pengpeng, 2025. "Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning models," Agricultural Water Management, Elsevier, vol. 307(C).
  19. Hang Gao & Chun Shen & Xuesong Wang & Pak-Wai Chan & Kai-Kwong Hon & Jianbing Li, 2024. "Interpretable semi-supervised clustering enables universal detection and intensity assessment of diverse aviation hazardous winds," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
  20. Huijun Zhang & Mingjie Zhang & Ran Yi & Yaxin Liu & Qiuzi Han Wen & Xin Meng, 2024. "Growing Importance of Micro-Meteorology in the New Power System: Review, Analysis and Case Study," Energies, MDPI, vol. 17(6), pages 1-33, March.
  21. Simon Michael Papalexiou & Giuseppe Mascaro & Angeline G. Pendergrass & Antonios Mamalakis & Mariana Madruga Brito & Konstantinos M. Andreadis & Kathleen Schiro & Masoud Zaerpour & Shadi Hatami & Yoha, 2025. "Sustainability Nexus AID: storms," Sustainability Nexus Forum, Springer, vol. 33(1), pages 1-16, December.
  22. Wang, Qiulei & Ti, Zilong & Yang, Shanghui & Yang, Kun & Wang, Jiaji & Deng, Xiaowei, 2025. "Hierarchical dynamic wake modeling of wind turbine based on physics-informed generative deep learning," Applied Energy, Elsevier, vol. 378(PA).
  23. Markus Reichstein & Vitus Benson & Jan Blunk & Gustau Camps-Valls & Felix Creutzig & Carina J. Fearnley & Boran Han & Kai Kornhuber & Nasim Rahaman & Bernhard Schölkopf & José María Tárraga & Ricardo , 2025. "Early warning of complex climate risk with integrated artificial intelligence," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  24. Gavin Shaddick & David Topping & Tristram C. Hales & Usama Kadri & Joanne Patterson & John Pickett & Ioan Petri & Stuart Taylor & Peiyuan Li & Ashish Sharma & Venkat Venkatkrishnan & Abhinav Wadhwa & , 2025. "Data Science and AI for Sustainable Futures: Opportunities and Challenges," Sustainability, MDPI, vol. 17(5), pages 1-20, February.
  25. Wang, Tao & Zhou, Hanxu & Fang, Qing & Han, Yanan & Guo, Xingxing & Zhang, Yahui & Qian, Chao & Chen, Hongsheng & Barland, Stéphane & Xiang, Shuiying & Lippi, Gian Luca, 2024. "Reservoir computing-based advance warning of extreme events," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  26. Song Chen & Jiaxu Liu & Pengkai Wang & Chao Xu & Shengze Cai & Jian Chu, 2024. "Accelerated optimization in deep learning with a proportional-integral-derivative controller," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  27. Huaisheng Tu & Haotian Liu & Tuqiang Pan & Wuping Xie & Zihao Ma & Fan Zhang & Pengbai Xu & Leiming Wu & Ou Xu & Yi Xu & Yuwen Qin, 2025. "Deep empirical neural network for optical phase retrieval over a scattering medium," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.