Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5027-2023
https://doi.org/10.5194/tc-17-5027-2023
Research article
 | 
29 Nov 2023
Research article |  | 29 Nov 2023

Regularization and L-curves in ice sheet inverse models: a case study in the Filchner–Ronne catchment

Michael Wolovick, Angelika Humbert, Thomas Kleiner, and Martin Rückamp

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Comment on egusphere-2023-741', Michael Wolovick, 05 May 2023
  • RC1: 'Comment on egusphere-2023-741', Anonymous Referee #1, 07 Jun 2023
    • AC2: 'Reply on RC1', Michael Wolovick, 25 Jul 2023
  • RC2: 'Comment on egusphere-2023-741', Anonymous Referee #2, 14 Jun 2023
    • AC3: 'Reply on RC2', Michael Wolovick, 25 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (28 Aug 2023) by Alexander Robinson
AR by Michael Wolovick on behalf of the Authors (05 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Oct 2023) by Alexander Robinson
AR by Michael Wolovick on behalf of the Authors (10 Oct 2023)
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Short summary
The friction underneath ice sheets can be inferred from observed velocity at the top, but this inference requires smoothing. The selection of smoothing has been highly variable in the literature. Here we show how to rigorously select the best smoothing, and we show that the inferred friction converges towards the best knowable field as model resolution improves. We use this to learn about the best description of basal friction and to formulate recommended best practices for other modelers.