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...

詳細記述

書誌詳細

出版年:	Journal of Advances in Modeling Earth Systems
主要な著者:	C. Burgard, N. C. Jourdain, P. Mathiot, R. S. Smith, R. Schäfer, J. Caillet, T. S. Finn, J. E. Johnson
フォーマット:	論文
言語:	英語
出版事項:	American Geophysical Union (AGU) 2023-12-01
主題:	cryosphere deep learning climate ice shelves neural networks ocean
オンライン･アクセス:	https://doi.org/10.1029/2023MS003829