Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2285-2023
https://doi.org/10.5194/tc-17-2285-2023
Research article
 | 
08 Jun 2023
Research article |  | 08 Jun 2023

Constraining regional glacier reconstructions using past ice thickness of deglaciating areas – a case study in the European Alps

Christian Sommer, Johannes J. Fürst, Matthias Huss, and Matthias H. Braun

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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 tc-2022-157', Kay Helfricht, 08 Nov 2022
    • AC2: 'Reply on RC1', Christian Sommer, 20 Jan 2023
  • RC2: 'Comment on tc-2022-157', Samuel Cook, 16 Nov 2022
    • AC1: 'Reply on RC2', Christian Sommer, 20 Jan 2023

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) (05 Feb 2023) by Louise Sandberg Sørensen
AR by Christian Sommer on behalf of the Authors (03 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Mar 2023) by Louise Sandberg Sørensen
RR by Samuel Cook (15 Mar 2023)
RR by Kay Helfricht (14 Apr 2023)
ED: Publish as is (26 Apr 2023) by Louise Sandberg Sørensen
AR by Christian Sommer on behalf of the Authors (05 May 2023)
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Short summary
Knowledge on the volume of glaciers is important to project future runoff. Here, we present a novel approach to reconstruct the regional ice thickness distribution from easily available remote-sensing data. We show that past ice thickness, derived from spaceborne glacier area and elevation datasets, can constrain the estimated ice thickness. Based on the unique glaciological database of the European Alps, the approach will be most beneficial in regions without direct thickness measurements.