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

Data sets

Destination Earth Digital Twin for Climate Change Adaptation (DestinE Climate DT V1) ECMWF and Climate DT consortium (led by CSC) https://doi.org/10.21957/d3f982672e

Model code and software

AQUA-core Matteo Nurisso et al. https://doi.org/10.5281/zenodo.21640464

High resolution data access Matteo Nurisso and Nikolay Koldunov https://doi.org/10.5281/zenodo.21905343

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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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