Articles | Volume 22, issue 1
https://doi.org/10.5194/os-22-187-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Ocean circulation, sea ice, and productivity simulated in Jones Sound, Canadian Arctic Archipelago, between 2003–2016
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- Final revised paper (published on 19 Jan 2026)
- Preprint (discussion started on 11 Dec 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2024-3751', Anonymous Referee #1, 17 Dec 2024
- AC1: 'Reply on RC1', Tyler Pelle, 18 Apr 2025
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RC2: 'Comment on egusphere-2024-3751', Anonymous Referee #2, 13 Feb 2025
- AC2: 'Reply on RC2', Tyler Pelle, 18 Apr 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Tyler Pelle on behalf of the Authors (18 Apr 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (06 May 2025) by Agnieszka Beszczynska-Möller
RR by Anonymous Referee #2 (23 May 2025)
ED: Publish as is (06 Jun 2025) by Agnieszka Beszczynska-Möller
AR by Tyler Pelle on behalf of the Authors (14 Jun 2025)
Manuscript
I am excited to see this type of model developed for investigating circulation, sea ice, and productivity in the Canadian Arctic Archipelago (Jones Sound in this case). I would like to share my own experience with modeling flows through the CAA. Previously, I used a coarse-resolution model to investigate these flows, but I have since recognized the critical need for a high-resolution model to accurately capture detailed current patterns and better understand the circulation and water properties in this region. The authors have done an excellent job in developing this high-resolution model. It is generally understood that the variations of transports through CAA are mostly controlled by changes in the large-scale circulations, and it would be beneficial to mention this.
While acknowledging the impressive work, I believe there is still potential for further model improvement. For instance, addressing the warm bias and resolving the model crash issue within the biogeochemical component would enhance its accuracy and reliability. The authors did not investigate the cause of this biogeochemical model crash. While not strictly necessary, providing some insights into this issue would be valuable for the scientific community.
Specific comments: