Emulating Present and Future Simulations of Melt Rates at the Base of Antarctic Ice Shelves With Neural Networks

Emulating Present and Future Simulations of Melt Rates at the Base of Antarctic Ice Shelves With Neural Networks

Abstract Melt rates at the base of Antarctic ice shelves are needed to drive projections of the Antarctic ice sheet mass loss. Current basal melt parameterizations struggle to link open ocean properties to ice‐shelf basal melt rates for the range of current sub‐shelf cavity geometries around Antarct...

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Bibliographic Details
Main Authors: C. Burgard, N. C. Jourdain, P. Mathiot, R. S. Smith, R. Schäfer, J. Caillet, T. S. Finn, J. E. Johnson
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-12-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
cryosphere
deep learning
climate
ice shelves
neural networks
ocean
Online Access:https://doi.org/10.1029/2023MS003829

Internet

https://doi.org/10.1029/2023MS003829

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