Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4703-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4703-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
01 Jun 2026
Model description paper |
| 01 Jun 2026
| 01 Jun 2026
AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS
Gabriel Moldovan
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Ewan Pinnington
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Ana Prieto Nemesio
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Simon Lang
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Zied Ben Bouallègue
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Jesper Dramsch
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Mihai Alexe
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Mario Santa Cruz
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Sara Hahner
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Harrison Cook
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Helen Theissen
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Mariana Clare
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Cathal O'Brien
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Jan Polster
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Linus Magnusson
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Gert Mertes
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Florian Pinault
European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
Baudouin Raoult
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Patricia de Rosnay
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Richard Forbes
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
Matthew Chantry
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, United Kingdom
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Cited
3 citations as recorded by crossref.
- Further development of adaptive parameter tuning in the numerical weather prediction models of Deutscher Wetterdienst G. Zängl https://doi.org/10.1002/qj.70269
- Weather forecasting in a changing climate: the rise of AI and Machine learning? F. Rabier et al. https://doi.org/10.1016/j.jemets.2026.100040
- Sensitivity of WRF Operational Forecasting to AIFS Initialisation: A Case Study on the Implications for Air Pollutant Dispersion R. Arasa Agudo et al. https://doi.org/10.3390/earth6040132
2 citations as recorded by crossref.
- Weather forecasting in a changing climate: the rise of AI and Machine learning? F. Rabier et al. https://doi.org/10.1016/j.jemets.2026.100040
- Sensitivity of WRF Operational Forecasting to AIFS Initialisation: A Case Study on the Implications for Air Pollutant Dispersion R. Arasa Agudo et al. https://doi.org/10.3390/earth6040132
Saved (final revised paper)
Latest update: 04 Aug 2026
Short summary
We present the latest release of the Artificial Intelligence Forecasting System, AIFS 1.1.0, which shows improved headline forecasting skill through an expanded dataset and enhanced training schedule. The model also incorporates hard physical constraints that facilitate training and improve rainfall prediction. Finally, we extend the set of forecasted variables to include soil conditions and energy-related fields, strengthening the operational value of AIFS.
We present the latest release of the Artificial Intelligence Forecasting System, AIFS 1.1.0,...
