The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 9
Articles | Volume 20, issue 9
https://doi.org/10.5194/tc-20-5041-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-5041-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 9
Research article
 | 
08 Sep 2026
Research article |  | 08 Sep 2026

Enabling ice sheet models to capture centennial-scale solid Earth feedback with relative ease and sufficient accuracy

Surendra Adhikari, Lambert Caron, Erik R. Ivins, Holly K. Han, Luc Houriez, and Eric Larour

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (02 Mar 2026) by Elisa Mantelli
AR by Surendra Adhikari on behalf of the Authors (13 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Apr 2026) by Elisa Mantelli
RR by Volker Klemann (16 Apr 2026)
RR by Anonymous Referee #2 (08 May 2026)
ED: Publish subject to revisions (further review by editor and referees) (23 May 2026) by Elisa Mantelli
AR by Surendra Adhikari on behalf of the Authors (04 Jun 2026)
EF by Polina Shvedko (05 Jun 2026)  Manuscript   Author's response   Author's tracked changes 
ED: Publish as is (14 Aug 2026) by Elisa Mantelli
AR by Surendra Adhikari on behalf of the Authors (19 Aug 2026)  Manuscript 
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Short summary
We present an efficient approach for coupling ice sheet and solid Earth models, bringing realistic gravitational and deformational processes into mainstream ice sheet modeling. Earth responses are encoded in precomputed Green’s functions and applied to modeled ice mass change through matrix multiplication. By removing a major computational and technical barrier, the approach could accelerate adoption within the Ice Sheet Model Intercomparison Project (ISMIP) to improve sea level projections.
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