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 0003-0007 doi: 10.1175/BAMS-D-20-0307.1

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Item Type Article
URI https://reading-pure-test.eprints-hosting.org/id/eprint/95529
Identification Number/DOI 10.1175/BAMS-D-20-0307.1
Refereed Yes
Divisions Central Services
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
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Please see our End User Agreement.

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

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