Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8385-2026
© 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-19-8385-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
09 Sep 2026
Model evaluation paper |
| 09 Sep 2026
| 09 Sep 2026
Wind and turbulence evaluation of the ICON model (icon-2026.04) using Doppler lidar observations
Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Hans-Ertel-Zentrum für Wetterforschung, Frankfurter Straße 135, 63067 Offenbach, Germany
Eileen Päschke
Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
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Accurate weather forecasts require detailed measurements of temperature, humidity and wind. During a two-week campaign in Germany, we tested innovative instruments against established measurement techniques and satellite observations. Most ground-based instruments met international performance requirements and successfully captured daily atmospheric changes. The publicly available dataset supports improved weather forecasting and the development of future weather observation networks.
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Moritz Schnelke, Maike Ahlgrimm, and Anna Possner
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This study explores how the downward movement of cloud droplets due to gravity impacts the evolution of stratocumulus clouds over longer timescales. In contrast to previous conclusions, we find that the effect differs in the long-term depending on the amount of water in the cloud. In thick clouds, sedimentation reduces boundary layer growth as expected. In thin clouds, it can trigger a feedback chain that leads to more efficient growth, resulting in opposite outcomes for the two categories.
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Little noise in radial velocity Doppler lidar measurements can contribute to large errors in retrieved turbulence variables. In order to distinguish between plausible and erroneous measurements we developed new filter techniques that work independently of the choice of a specific threshold for the signal-to-noise ratio. The performance of these techniques is discussed both by means of assessing the filter results and by comparing retrieved turbulence variables versus independent measurements.
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Short summary
This study uses a new type of observation of wind and turbulence to investigate the accuracy with which the German weather forecasting model predicts these variables in the lowest 600 m of the atmosphere. The model performs adequately during the day, but struggles with both wind and turbulence at night. This is important for wind energy planning and understanding how airborne particles are transported by the wind. The study suggests ways in which the model could be further improved.
This study uses a new type of observation of wind and turbulence to investigate the accuracy...
