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

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