Machine learning for earth system observation and prediction

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 doi: 10.1175/BAMS-D-20-0307.1

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/95529
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
Publisher	American Meteorological Society
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