Two km-scale Earth system models ran 30-year climate simulations at about 500 days per day

The nextGEMS project got two km-scale Earth system models, ICON and IFS-FESOM, to run energetically consistent 30-year simulations for 2020–2049, though biases remain in the western Pacific.

Geoscientific Model Development 2 min read Peer-reviewed

Annual cycles of 2 m temperature and top-of-atmosphere radiation balance for ICON and IFS-FESOM in Cycles 2 and 3, compared with observations, showing temperature drift in the earlier cycles.
Figure 3 from Segura et al. (2025), CC BY 4.0. Resized from the original.

Why it matters

Multidecadal simulations that resolve km-scale processes in atmosphere, land and ocean were out of reach until now. The work lays the base for the Climate Change Adaptation Digital Twin of Destination Earth. The authors also report that many model tests need only about a year of simulation, or even 12 days for radiation tuning, so more groups can afford to test km-scale models.

What they did

The project ran four development cycles from October 2021 to March 2024. Each cycle released new ICON and IFS-FESOM configurations, which more than 100 participants evaluated at a hackathon. The team fixed energy and water leaks, tuned cloud properties, and improved input/output and data sharing. The final simulations ran 30 years under the SSP3-7.0 scenario. They used a 10 km atmosphere and a 5 km ocean, and were compared with satellite and gridded observations.

Key findings

  • Early runs had large energy and water imbalances. Cycle 1 ICON had a drift of about -2 K, and IFS-FESOM had a 4.6 % spurious rise in precipitation. By Cycle 4 both models had an energetically consistent climate.
  • Throughput rose from about 10 simulated days per day to 414 for ICON on 464 nodes and 600 for IFS-FESOM on 269 nodes.
  • IFS-FESOM matched observed 2 m temperature and top-of-atmosphere radiation better than ICON. Averaged over 2020 to 2023, the temperatures were 14.94°C for IFS-FESOM, 13.83°C for ICON and 14.91°C for HadCRUT.
  • Both models reproduced the tropical rainbelt over land and the eastern Pacific. In the western Pacific, ICON shows a double ITCZ bias and precipitation 7 mm d−1 too low at the equator. IFS-FESOM is 3 mm d−1 too low.
  • ICON matched the annual cycle of Californian stratocumulus clouds better than IFS-FESOM. IFS-FESOM captured blocking frequency better.

Limitations

  • The 10 km atmospheric grid was a compromise forced by limited computing resources. A 10 km grid does not remove biases in the western Pacific.
  • The authors say robust answers to their four questions will only come from later separate studies. They also say a causal link between global climate and regional patterns cannot be proven.
  • The simulations ran without carbon cycle or aerosol modules, and some comparisons use observation periods that barely overlap the simulated years.

Glossary

  • km-scale model: A model with horizontal grid spacing of 10 km or finer, so storms and ocean eddies are resolved rather than parameterized.
  • Energetically consistent climate: A near-stationary climate with top-of-atmosphere energy balance near zero, conserved mass and energy, and no near-surface temperature drift.
  • SDPD: Simulated days per day, a measure of how fast a model runs.
  • Double ITCZ: A model error in which the tropical rain band splits into two bands near the equator.

Original paper

nextGEMS: entering the era of kilometer-scale Earth system modeling

Hans Segura, Xabier Pedruzo-Bagazgoitia, Philipp Weiss, Sebastian K. Müller, Thomas Rackow, Junhong Lee, Edgar Dolores-Tesillos, Imme Benedict, Matthias Aengenheyster, Razvan Aguridan, Gabriele Arduini, Alexander J. Baker, Jiawei Bao, Swantje Bastin, Eulàlia Baulenas, Tobias Becker, Sebastian Beyer, Hendryk Bockelmann, Nils Brüggemann, Lukas Brunner, Suvarchal K. Cheedela, Sushant Das, Jasper Denissen, Ian Dragaud, Piotr Dziekan, Madeleine Ekblom, Jan Frederik Engels, Monika Esch, Richard Forbes, Claudia Frauen, Lilli Freischem, Diego García-Maroto, Philipp Geier, Paul Gierz, Álvaro González-Cervera, Katherine Grayson, Matthew Griffith, Oliver Gutjahr, Helmuth Haak, Ioan Hadade, Kerstin Haslehner, Shabeh ul Hasson, Jan Hegewald, Lukas Kluft, Aleksei Koldunov, Nikolay Koldunov, Tobias Kölling, Shunya Koseki, Sergey Kosukhin, Josh Kousal, Peter Kuma, Arjun U. Kumar, Rumeng Li, Nicolas Maury, Maximilian Meindl, Sebastian Milinski, Kristian Mogensen, Bimochan Niraula, Jakub Nowak, Divya Sri Praturi, Ulrike Proske, Dian Putrasahan, René Redler, David Santuy, Domokos Sármány, Reiner Schnur, Patrick Scholz, Dmitry Sidorenko, Dorian Spät, Birgit Sützl, Daisuke Takasuka, Adrian Tompkins, Alejandro Uribe, Mirco Valentini, Menno Veerman, Aiko Voigt, Sarah Warnau, Fabian Wachsmann, Marta Wacławczyk, Nils Wedi, Karl-Hermann Wieners, Jonathan Wille, Marius Winkler, Yuting Wu, Florian Ziemen, Janos Zimmermann, Frida A.-M. Bender, Dragana Bojovic, Sandrine Bony, Simona Bordoni, Patrice Brehmer, Marcus Dengler, Emanuel Dutra, Saliou Faye, Erich Fischer, Chiel van Heerwaarden, Cathy Hohenegger, Heikki Järvinen, Markus Jochum, Thomas Jung, Johann H. Jungclaus, Noel S. Keenlyside, Daniel Klocke, Heike Konow, Martina Klose, Szymon Malinowski, Olivia Martius, Thorsten Mauritsen, Juan Pedro Mellado, Theresa Mieslinger, Elsa Mohino, Hanna Pawłowska, Karsten Peters-von Gehlen, Abdoulaye Sarré, Pajam Sobhani, Philip Stier, Lauri Tuppi, Pier Luigi Vidale, Irina Sandu, Bjorn Stevens

Geoscientific Model Development · 23 October 2025

Read the original paper Licence: see terms · doi:10.5194/gmd-18-7735-2025

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