A digital twin delivers 5–10 km climate projections and impact indicators to users

The Destination Earth Climate DT is an operational system that runs three km-scale climate models in one workflow and streams their output to sector applications and quality checks.

Geoscientific Model Development 2 min read Peer-reviewed

Diagram of the Climate DT workflow, showing tasks run on a supercomputer, orchestrated by a workflow manager, with data moved to data bridges for further use.
Figure 2 from Doblas-Reyes et al. (2026), CC BY 4.0. Resized from the original.

Why it matters

Adaptation planners need climate information at local scale, updated often, and shaped by their needs. This system aims to supply it globally and on a yearly cycle, as a complement to CMIP and CORDEX. It also shows how to handle the huge data volumes of km-scale models.

What they did

The authors describe the design of the Climate DT. It runs three global models (ICON, IFS-NEMO, IFS-FESOM) at 5–10 km on EuroHPC supercomputers, with one workflow manager and one common data format on a HEALPix grid. Output is streamed to applications while the simulations run, and it is then moved to cloud data bridges. Control, historical and projection runs followed a streamlined HighResMIP protocol. Storyline runs replay real extreme events under past, present and future climates.

Key findings

  • All three models write the same variables and grid, so tools can read any of them as the run progresses.
  • One-pass algorithms compute statistics such as percentiles on the fly, which gets around the limit that streaming shows only instantaneous data.
  • Storylines of hurricane Helene gave accumulated rainfall of 247 mm (PAST), 264 mm (PRESENT) and 271 mm (FUTURE).
  • Embedded applications cover wind energy, freshwater and floods, extreme rain over Europe, and fire weather and wildfire spread.
  • Two monitoring tools, AQUA and OBSALL, check the simulations against reanalysis and observations while they run.

Limitations

  • Computing cost is high. Current throughput is about 0.5 simulated years per day at 5 km, and the compute allows only a small multi-model ensemble per cycle.
  • Uncertainty quantification still goes no further than multi-model estimates, and the AI tools (emulators, chatbots) are still in development.
  • Stakeholder engagement so far rests mainly on discussions with selected key users, and external users cannot run the system themselves.

Glossary

  • Digital twin: A replica of a system that lets users explore what-if questions and stays linked to reality.
  • Storyline simulation: A run that replays a real extreme event, with winds nudged to reanalysis, under different climate conditions.
  • HEALPix: An equal-area global grid used here as the common output grid for all models.
  • One-pass algorithm (OPA): A routine that updates a statistic, such as a mean or percentile, as new model data arrives.

Original paper

The Destination Earth digital twin for climate change adaptation

Francisco J. Doblas-Reyes, Jenni Kontkanen, Irina Sandu, Mario Acosta, Mohammed Hussam Al Turjmam, Ivan Alsina-Ferrer, Miguel Andrés-Martínez, Costanza Anerdi, Leo Arriola, Marvin Axness, Marc Batlle Martín, Peter Bauer, Tobias Becker, Daniel Beltrán, Sebastian Beyer, Hendryk Bockelmann, Pierre-Antoine Bretonnière, Sebastien Cabaniols, Silvia Caprioli, Miguel Castrillo, Aparna Chandrasekar, Suvarchal Cheedela, Victor Correal, Emanuele Danovaro, Paolo Davini, Jussi Enkovaara, Claudia Frauen, Barbara Früh, Aina Gaya Àvila, Paolo Ghinassi, Rohit Ghosh, Supriyo Ghosh, Iker González, Katherine Grayson, Matthew Griffith, Ioan Hadade, Christopher Haine, Carl Hartick, Utz-Uwe Haus, Shane Hearne, Heikki Järvinen, Bernat Jiménez, Amal John, Marlin Juchem, Thomas Jung, Jessica Kegel, Matthias Kelbling, Kai Keller, Bruno Kinoshita, Theresa Kiszler, Daniel Klocke, Lukas Kluft, Nikolay Koldunov, Tobias Kölling, Joonas Kolstela, Luis Kornblueh, Sergey Kosukhin, Aleksander Lacima-Nadolnik, Jeisson Javier Leal Rojas, Jonni Lehtiranta, Tuomas Lunttila, Anna Luoma, Pekka Manninen, Alexey Medvedev, Sebastian Milinski, Ali Mohammed, Sebastian Müller, Devaraju Naryanappa, Natalia Nazarova, Sami Niemelä, Bimochan Niraula, Henrik Nortamo, Aleksi Nummelin, Matteo Nurisso, Pablo Ortega, Stella Paronuzzi, Xabier Pedruzo-Bagazgoitia, Charles Pelletier, Carlos Peña, Suraj Polade, Himansu Kesari Pradhan, Rommel Quintanilla, Tiago Quintino, Thomas Rackow, Jouni Räisänen, Maqsood Mubarak Rajput, René Redler, Balthasar Reuter, Nuno Rocha Monteiro, Francesc Roura-Adserias, Silva Ruppert, Susan Sayed, Reiner Schnur, Tanvi Sharma, Dmitry Sidorenko, Outi Sievi-Korte, Albert Soret, Christian Steger, Bjorn Stevens, Jan Streffing, Jaleena Sunny, Luiggi Tenorio, Stephan Thober, Ulf Tigerstedt, Oriol Tinto, Juha Tonttila, Heikki Tuomenvirta, Lauri Tuppi, Ginka Van Thielen, Emanuele Vitali, Jost von Hardenberg, Ingo Wagner, Nils Wedi, Jan Wehner, Sven Willner, Xavier Yepes-Arbós, Florian Ziemen, Janos Zimmermann

Geoscientific Model Development · 14 April 2026

Read the original paper Licence: see terms · doi:10.5194/gmd-19-2821-2026

AI-generated summary of the original article; changes were made. Check the original before relying on it.