A data-to-forecast machine learning system for global weather.

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Bibliographic Details
Title: A data-to-forecast machine learning system for global weather.
Authors: Sun X; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China., Zhong X; Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, China., Xu X; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China.; School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.; Earth System Modeling and Prediction Centre, China Meteorological Administration, Beijing, China., Huang Y; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China., Li H; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China. lihao_lh@fudan.edu.cn.; Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, China. lihao_lh@fudan.edu.cn., Neelin JD; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA. neelin@atmos.ucla.edu., Chen D; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.; University of Gothenburg, Gothenburg, Sweden., Feng J; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China.; Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences, Fudan University, Shanghai, China., Han W; Earth System Modeling and Prediction Centre, China Meteorological Administration, Beijing, China. hanwei@cma.gov.cn., Wu L; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China. wulibo@fudan.edu.cn.; School of Data Science, Fudan University, Shanghai, China. wulibo@fudan.edu.cn.; Institute for Big Data, Fudan University, Shanghai, China. wulibo@fudan.edu.cn.; MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai, China. wulibo@fudan.edu.cn., Qi Y; Shanghai Academy of Artificial Intelligence for Science, Shanghai, China. qiyuan@fudan.edu.cn.; Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, China. qiyuan@fudan.edu.cn.
Source: Nature communications [Nat Commun] 2025 Jul 19; Vol. 16 (1), pp. 6658. Date of Electronic Publication: 2025 Jul 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-025-62024-1