Articles | Volume 19, issue 16
https://doi.org/10.5194/gmd-19-7725-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
AQUA v1.0.0: The Application for QUality Assessment for the Climate Change Adaptation Digital Twin – the core engine
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- Final revised paper (published on 20 Aug 2026)
- Preprint (discussion started on 04 May 2026)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Review of the manuscript “AQUA v1: The Application for QUality Assessment for the Climate Change Adaptation Digital Twin”', Anonymous Referee #1, 12 Jun 2026
- AC1: 'Reply on RC1', Matteo Nurisso, 27 Jul 2026
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RC2: 'Comment on egusphere-2026-1115', Anonymous Referee #2, 15 Jun 2026
- AC2: 'Reply on RC2', Matteo Nurisso, 27 Jul 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Matteo Nurisso on behalf of the Authors (31 Jul 2026)
Author's response
Author's tracked changes
Manuscript
ED: Reconsider after major revisions (03 Aug 2026) by Martina Stockhause
ED: Publish subject to technical corrections (07 Aug 2026) by Martina Stockhause
AR by Matteo Nurisso on behalf of the Authors (13 Aug 2026)
Author's response
Manuscript
The manuscript “AQUA v1: The Application for QUality Assessment for the Climate Change Adaptation Digital Twin“ by Nurisso et al. the first part of a new software package (AQUA) that facilitates monitoring and evaluation of simulations performed by the Climate Change Adaptation Digital Twin of the Destination Earth initiative. The manuscript focuses on the description of the underlying code philosophy, code structure and core functionalities of AQUA and provides some examples about AQUA’s data handling performance.
The manuscript is very well written and well structured, and it provides the necessary information to understand the structure of the software without going too deep into technical details. The topic of the manuscript lays clearly withing the scope of GMD, and the new software could potentially be of interest to a substantial part of the climate modeling and Digital Twin community. There are, however, a few things that I would like to see addressed/discussed to help the reader better understand the work that has been done and what the novel parts of the work are.
I recommend the publication of the manuscript after revisions.
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