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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Using machine learning to find cloud-base height: a didactic challenge

Lookup NU author(s): Dr Steven ChanORCiD, Dr Abdullah KahramanORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Publication metadata

Author(s): Lewis H, Bowyer J, Broad AL, Chamberlain-Clay A, Jones C, Chan S, Kahraman A, Morcrette C

Publication type: Article

Publication status: Published

Journal: Weather

Year: 2022

Volume: 77

Issue: 11

Pages: 391-395

Print publication date: 08/11/2022

Online publication date: 25/02/2022

Acceptance date: 21/01/2022

Date deposited: 03/04/2022

ISSN (print): 0043-1656

ISSN (electronic): 1477-8696

Publisher: John Wiley & Sons Ltd on behalf of the Royal Meteorological Society

URL: https://doi.org/10.1002/wea.4163

DOI: 10.1002/wea.4163


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