Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5439-2026
© 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-19-5439-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
24 Jun 2026
Methods for assessment of models |
| 24 Jun 2026
| 24 Jun 2026
Optimisation of ICON-CLM for the EURO-CORDEX domain: developments, sensitivities, tuning
Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Angelo Campanale
Euro-Mediterranean Center on Climate Change (CMCC Foundation), Caserta, Italy
Evgenii Churiulin
Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology, Karlsruhe, Germany
Hendrik Feldmann
Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology, Karlsruhe, Germany
Klaus Goergen
Institut für Bio- und Geowissenschaften (Agrosphäre, IBG-3), Forschungszentrum Jülich, Jülich, Germany
Stefan Hagemann
Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Ha Thi Minh Ho-Hagemann
Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Muhammed Muhshif Karadan
Fachgebiet Atmosphärische Prozesse, Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany
Klaus Keuler
Fachgebiet Atmosphärische Prozesse, Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany
Pavel Khain
Israel Meteorological Service, Bet-Dagan, Israel
Divyaja Lawand
Fachgebiet Atmosphärische Prozesse, Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany
Patrick Ludwig
Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology, Karlsruhe, Germany
Vera Maurer
Deutscher Wetterdienst, Offenbach am Main, Germany
Sergei Petrov
Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Stefan Poll
Institut für Bio- und Geowissenschaften (Agrosphäre, IBG-3), Forschungszentrum Jülich, Jülich, Germany
Christopher Purr
Deutscher Wetterdienst, Offenbach am Main, Germany
Emmanuele Russo
Institute for Atmospheric and Climate Science, ETH Zurich, Zürich, Switzerland
Martina Schubert-Frisius
GERICS, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Jan-Peter Schulz
Deutscher Wetterdienst, Offenbach am Main, Germany
Euro-Mediterranean Center on Climate Change (CMCC Foundation), Caserta, Italy
Shweta Singh
Deutscher Wetterdienst, Offenbach am Main, Germany
Christian Steger
Deutscher Wetterdienst, Offenbach am Main, Germany
Heimo Truhetz
Wegener Center for Climate and Global Change (WEGC), University of Graz, Graz, Austria
Andreas Will
Fachgebiet Atmosphärische Prozesse, Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany
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Total article views: 4,656 (including HTML, PDF, and XML)
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(calculated since 12 Jan 2026)
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Short summary
Complex models in environmental science typically have a lot of tuning parameters, which has to be set by the users depending on the application. This study presents a new method of objective tuning of a huge number of parameters, by combining expert judgement with automated tuning called Linear Meta-Model optimisation (LiMMo). The method is successfully applied to the regional climate model named ICON (Icosahedral Non-hydrostatic)-CLM (Climate Limited-area Modelling) over Europe.
Complex models in environmental science typically have a lot of tuning parameters, which has to...
