The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-499-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-499-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Research article
 | 
07 Feb 2023
Research article |  | 07 Feb 2023

Predicting ocean-induced ice-shelf melt rates using deep learning

Sebastian H. R. Rosier, Christopher Y. S. Bull, Wai L. Woo, and G. Hilmar Gudmundsson

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Latest update: 01 Nov 2024
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Short summary
Future ice loss from Antarctica could raise sea levels by several metres, and key to this is the rate at which the ocean melts the ice sheet from below. Existing methods for modelling this process are either computationally expensive or very simplified. We present a new approach using machine learning to mimic the melt rates calculated by an ocean model but in a fraction of the time. This approach may provide a powerful alternative to existing methods, without compromising on accuracy or speed.
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