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Machine learning for earth system observation and prediction

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Bonavita, M., Arcucci, R., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Dueben, P., Geer, A. J., Le Saux, B., Longépé, N., Mathieu, P.-P. and Raynaud, L. (2021) Machine learning for earth system observation and prediction. Bulletin of the American Meteorological Society, 102 (4). E710-E716. ISSN 1520-0477

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It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1175/BAMS-D-20-0307.1


Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:95529
Publisher:American Meteorological Society
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