Articles | Volume 13, issue 1
https://doi.org/10.5194/esurf-13-191-2025
https://doi.org/10.5194/esurf-13-191-2025
Research article
 | 
07 Feb 2025
Research article |  | 07 Feb 2025

Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach

Julius Reich and Axel Winterscheid

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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-2024-579', Anonymous Referee #1, 30 Apr 2024
  • RC2: 'Comment on egusphere-2024-579', Anonymous Referee #2, 19 May 2024
  • AC1: 'Comment on egusphere-2024-579', Julius Reich, 27 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Julius Reich on behalf of the Authors (16 Aug 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (29 Aug 2024) by Rebecca Hodge
RR by Anonymous Referee #1 (06 Sep 2024)
RR by Anonymous Referee #2 (20 Sep 2024)
ED: Publish subject to minor revisions (review by editor) (11 Oct 2024) by Rebecca Hodge
AR by Julius Reich on behalf of the Authors (21 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Nov 2024) by Rebecca Hodge
ED: Publish as is (15 Nov 2024) by Tom Coulthard (Editor)
AR by Julius Reich on behalf of the Authors (22 Nov 2024)
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Short summary
Analyzing the geometry and the dynamics of riverine bedforms (so-called dune tracking) is important for various fields of application and contributes to sound and efficient river and sediment management. We developed a workflow that enables a robust estimation of bedform characteristics and with which comprehensive sensitivity analyses can be carried out. Using a field dataset, we show that the setting of input parameters in bedform analyses can have a significant impact on the results.

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