An unsupervised learning approach to identifying blocking events: the case of European summer

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Thomas, Carl, Voulgarakis, Apostolos, Lim, Gerald, Haigh, Joanna and Nowack, Peer ORCID: https://orcid.org/0000-0003-4588-7832 (2021) An unsupervised learning approach to identifying blocking events: the case of European summer. Weather and Climate Dynamics, 2 (3). pp. 581-608. ISSN 2698-4016

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Item Type:	Article
Uncontrolled Keywords:	atmospheric circulation,atmospheric dynamics,blocking,machine learning,unsupervised learning,weather,self-organizing maps,earth system model,reanalysis data,europe
Faculty \ School:	Faculty of Science > School of Environmental Sciences
Related URLs:	https://wcd.copernicus.org/preprints/wcd...
Depositing User:	LivePure Connector
Date Deposited:	08 Jun 2021 00:09
Last Modified:	25 Aug 2022 11:04
URI:	https://ueaeprints.uea.ac.uk/id/eprint/80217
DOI:	10.5194/wcd-2-581-2021

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