Articles | Volume 19, issue 16
https://doi.org/10.5194/gmd-19-7725-2026
https://doi.org/10.5194/gmd-19-7725-2026
Methods for assessment of models
 | 
20 Aug 2026
Methods for assessment of models |  | 20 Aug 2026

AQUA v1.0.0: The Application for QUality Assessment for the Climate Change Adaptation Digital Twin – the core engine

Matteo Nurisso, Jost von Hardenberg, Marco Cadau, Silvia Caprioli, Paolo Ghinassi, Supriyo Ghosh, Nikolay Koldunov, Natalia Nazarova, Maqsood Mubarak Rajput, Emanuele Tovazzi, and Paolo Davini

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • 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
  • 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 
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Short summary
We present a new open-source software called AQUA designed to handle and evaluate the vast amounts of data produced by high-resolution climate simulations. As climate models become more detailed, their output can become too large and complex for traditional analysis methods. We introduce a new framework for data access, processing, and comparison that is fast, reliable, and easy to automate. Our results show that it can efficiently manage very large datasets and support real-time quality checks.
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