Articles | Volume 10, issue 4
© Author(s) 2022. This work is distributed underthe Creative Commons Attribution 4.0 License.
Volume, evolution, and sedimentation of future glacier lakes in Switzerland over the 21st century
- Final revised paper (published on 14 Jul 2022)
- Preprint (discussion started on 01 Mar 2022)
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor |
: Report abuse
RC1: 'Comment on esurf-2022-12', Greta Wells, 29 Mar 2022
- AC1: 'Reply on RC1', Daniel Farinotti, 09 Jun 2022
RC2: 'Comment on esurf-2022-12', Jan-Christoph Otto, 19 May 2022
- AC2: 'Reply on RC2', Daniel Farinotti, 09 Jun 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel Farinotti on behalf of the Authors (09 Jun 2022)  Author's response Author's tracked changes Manuscript
ED: Publish subject to technical corrections (17 Jun 2022) by Susan Conway
ED: Publish subject to technical corrections (22 Jun 2022) by Andreas Lang(Editor)
This manuscript thoroughly discusses future glacial lake evolution in the Swiss Alps derived from newly acquired glacier topographic data. It clearly frames the study in the context of previous research, explains existing data gaps, and offers a robust methodology to fill these gaps. The manuscript adequately answers the fifteen evaluation criteria questions, scoring particularly highly on organization, explanation of methods for reproduction by other scientists, and discussing the study in relation to existing work and future research implications.
The paper does an excellent job of maintaining the balance between model generalization and case study specifics. One of its strongest features is comprehensively explaining the selection process and potential uncertainties or unknowns for each model parameter. The authors also demonstrate a firm understanding of how field variables (i.e. real-life topography, sediment, and glacier melt dynamics) are represented by model components, and how changes in field variables will influence model input parameters and results/outputs. I think such a clear link is often missing in modeling papers.
The paper reads very smoothly—these are all minor!