Universität zu Köln

Chatterjee, Dwaipayan ORCID: 0000-0001-8757-9884, Schnitt, Sabrina ORCID: 0000-0002-3949-770X, Bigalke, Paula ORCID: 0000-0002-8688-3670, Acquistapace, Claudia ORCID: 0000-0002-1144-4753 and Crewell, Susanne ORCID: 0000-0003-1251-5805 (2024). Capturing the Diversity of Mesoscale Trade Wind Cumuli Using Complementary Approaches From Self‐Supervised Deep Learning. Geophysical Research Letters, 51 (12). pp. 1-10. Wiley. ISSN 0094-8276

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Abstract

[Artikel-Nr.: e2024GL108889] Key Points: Mesoscale cloud organization can be taxonomized by a two‐step deep learning approach in the feature space continuum ; Comparing seven machine‐identified classes with humans' four recognized categories underlines the significance of uncertainty estimates ; New diagnostic is provided to analyze the temporal transition between regimes, as illustrated for human‐labeled sugar‐to‐flower regimes

Item Type:	Article
Creators:	Creators Email ORCID ORCID Put Code Chatterjee, Dwaipayan UNSPECIFIED https://orcid.org/0000-0001-8757-9884 UNSPECIFIED Schnitt, Sabrina UNSPECIFIED https://orcid.org/0000-0002-3949-770X UNSPECIFIED Bigalke, Paula UNSPECIFIED https://orcid.org/0000-0002-8688-3670 UNSPECIFIED Acquistapace, Claudia UNSPECIFIED https://orcid.org/0000-0002-1144-4753 UNSPECIFIED Crewell, Susanne UNSPECIFIED https://orcid.org/0000-0003-1251-5805 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-816312
Identification Number:	10.1029/2024gl108889
Journal or Publication Title:	Geophysical Research Letters
Volume:	51
Number:	12
Page Range:	pp. 1-10
Number of Pages:	10
Date:	28 June 2024
Publisher:	Wiley
ISSN:	0094-8276
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Institute for Geophysics and Meteorology
Subjects:	Earth sciences Geography and travel
['eprint_fieldname_oa_funders' not defined]:	Publikationsfonds UzK
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/81631