Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T16:42:48.122Z Has data issue: false hasContentIssue false
Accepted manuscript

Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling

Published online by Cambridge University Press:  20 November 2024

Younghyun Koo
Affiliation:
Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA, USA
Maryam Rahnemoonfar*
Affiliation:
Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA, USA
*
Correspondence: Maryam Rahnemoonfar [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © Lehigh University, 2024. Published by Cambridge University Press on behalf of International Glaciological Society

Footnotes

*

Present address: 113 Research Drive, Lehigh University Mountaintop Campus, Bethlehem, PA 18015