Articles | Volume 19, issue 3
https://doi.org/10.5194/gmd-19-1301-2026
https://doi.org/10.5194/gmd-19-1301-2026
Model description paper
 | 
12 Feb 2026
Model description paper |  | 12 Feb 2026

AGILE v0.1: The Open Global Glacier Data Assimilation Framework

Patrick Schmitt, Fabien Maussion, Daniel N. Goldberg, and Philipp Gregor

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3401', Anonymous Referee #1, 16 Sep 2025
    • AC1: 'Reply on RC1', Patrick Schmitt, 30 Nov 2025
  • RC2: 'Comment on egusphere-2025-3401', Anonymous Referee #2, 10 Oct 2025
    • AC2: 'Reply on RC2', Patrick Schmitt, 30 Nov 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Patrick Schmitt on behalf of the Authors (05 Dec 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Dec 2025) by Ludovic Räss
RR by Anonymous Referee #2 (11 Dec 2025)
ED: Publish subject to minor revisions (review by editor) (15 Dec 2025) by Ludovic Räss
AR by Patrick Schmitt on behalf of the Authors (16 Dec 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (16 Dec 2025) by Ludovic Räss
AR by Patrick Schmitt on behalf of the Authors (19 Dec 2025)  Author's response   Manuscript 

Post-review adjustments

AA – Author's adjustment | EA – Editor approval
AA by Patrick Schmitt on behalf of the Authors (10 Feb 2026)   Author's adjustment   Manuscript
EA: Adjustments approved (11 Feb 2026) by Ludovic Räss
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Short summary
To improve large-scale understanding of glaciers, we developed a new data assimilation method that integrates available observations in a dynamically consistent way, while taking their timestamps into account. It is designed to flexibly include new glacier data as it becomes available. We tested the method with idealized experiments and found promising results in terms of accuracy and efficiency, showing strong potential for real-world applications.
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