Articles | Volume 26, issue 3
https://doi.org/10.5194/acp-26-2007-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-26-2007-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of small-scale orography on deep boundary layer evolution and structure over the Tibetan Plateau
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, 60438 Frankfurt/Main, Germany
Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Harshwardhan Jadhav
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, 60438 Frankfurt/Main, Germany
Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
now at: Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, V Holešovičkách 2, 18000, Prague 8, Czech Republic
Jaydeep Singh
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, 60438 Frankfurt/Main, Germany
Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Juerg Schmidli
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Altenhöferallee 1, 60438 Frankfurt/Main, Germany
Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
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EGUsphere, https://doi.org/10.5194/egusphere-2025-4401, https://doi.org/10.5194/egusphere-2025-4401, 2025
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Thunderstorms can transport moisture into the lower stratosphere, affecting climate. Over mountains, models fail to represent them due to underrepresentation of turbulent mixing and cloud microphysics. This study evaluates the operational TKE and new 2TE turbulence schemes, with single and double moment microphysics, in the ICOsahedral Nonhydrostatic (ICON) model against observations. ICON-TKE shows stronger mixing than 2TE, the DM scheme shows taller storms with more ice and transport than SM.
Roshny Siri Jagan and Juerg Schmidli
EGUsphere, https://doi.org/10.5194/egusphere-2025-4308, https://doi.org/10.5194/egusphere-2025-4308, 2025
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We studied how air moves over mountains and creates waves that can cause turbulence, a safety risk for planes and a key factor for weather and climate. Using computer simulations, we found that very fine detail is needed to capture these waves realistically. Our results show that while small features require high resolution, overall patterns can be captured at slightly larger scales. This work can help improve flight safety and weather predictions by making turbulence forecasts more reliable.
Noviana Dewani, Mirjana Sakradzija, Linda Schlemmer, Ronny Leinweber, and Juerg Schmidli
Atmos. Chem. Phys., 23, 4045–4058, https://doi.org/10.5194/acp-23-4045-2023, https://doi.org/10.5194/acp-23-4045-2023, 2023
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A high daily variability of the normalized vertical velocity variance profiles in the convective boundary layer is observed using Doppler lidar data during the FESSTVaL campaign 2020–2021. The dependency of the normalized vertical velocity variance on several meteorological parameters explains that the moisture processes in the boundary layer contribute to the remaining variability. The finding suggests that a new vertical velocity scale that takes moist processes into account has to be defined.
Julian Quimbayo-Duarte, Johannes Wagner, Norman Wildmann, Thomas Gerz, and Juerg Schmidli
Geosci. Model Dev., 15, 5195–5209, https://doi.org/10.5194/gmd-15-5195-2022, https://doi.org/10.5194/gmd-15-5195-2022, 2022
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The ultimate objective of this model evaluation is to improve boundary layer flow representation over complex terrain. The numerical model is tested against observations retrieved during the Perdigão 2017 field campaign (moderate complex terrain). We observed that the inclusion of a forest parameterization in the numerical model significantly improves the representation of the wind field in the atmospheric boundary layer.
Ian Boutle, Wayne Angevine, Jian-Wen Bao, Thierry Bergot, Ritthik Bhattacharya, Andreas Bott, Leo Ducongé, Richard Forbes, Tobias Goecke, Evelyn Grell, Adrian Hill, Adele L. Igel, Innocent Kudzotsa, Christine Lac, Bjorn Maronga, Sami Romakkaniemi, Juerg Schmidli, Johannes Schwenkel, Gert-Jan Steeneveld, and Benoît Vié
Atmos. Chem. Phys., 22, 319–333, https://doi.org/10.5194/acp-22-319-2022, https://doi.org/10.5194/acp-22-319-2022, 2022
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Fog forecasting is one of the biggest problems for numerical weather prediction. By comparing many models used for fog forecasting with others used for fog research, we hoped to help guide forecast improvements. We show some key processes that, if improved, will help improve fog forecasting, such as how water is deposited on the ground. We also showed that research models were not themselves a suitable baseline for comparison, and we discuss what future observations are required to improve them.
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Short summary
We studied how small mountains shape the daily growth of the lower atmosphere over the Tibetan Plateau, one of the highest regions on Earth. Using computer simulations, we compared flat terrain with realistic terrain and with added winds. We found that even modest hills make the air mix more quickly and rise higher, and winds further strengthen this effect. Our results show that overlooking small terrain features can lead to underestimating how strongly the atmosphere mixes over high plateaus.
We studied how small mountains shape the daily growth of the lower atmosphere over the Tibetan...
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