EGU26-12579, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-12579
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 05 May, 09:05–09:15 (CEST)
 
Room 2.15
Operational modelling of the thermal structure of Swiss Lakes: Achievements, challenges, and new horizons
Martin Schmid1, Fabian Bärenbold1, James Runnalls1, and Damien Bouffard1,2
Martin Schmid et al.
  • 1Surface Waters - Research and Management, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
  • 2Faculty of Geosciences and Environment, Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland

Accurate simulations of lake thermal structure are essential for understanding the impacts of climate change and predicting ecosystem responses. We provide operational simulations of the thermal dynamics of all major and selected smaller Swiss lakes using the one-dimensional hydrodynamic model Simstrat. These simulations are updated daily with five-day forecasts and made openly accessible via the Alplakes platform, which also offers downloadable input and output files.

Model performance is generally excellent for the larger lakes, with RMSE values around 1.0 °C at the surface and 0.5 °C in the deep water, compared to extensive monitoring data. However, notable challenges persist for: (i) lakes with short residence times strongly influenced by inflow dynamics, (ii) managed reservoirs with operational procedures outside the model’s scope, and (iii) small lakes where local interactions (e.g., groundwater exchange, snowmelt) substantially affect thermal properties.

Comparisons with high-resolution data from new temperature monitoring stations and with 3D simulations available for selected lakes on Alplakes provide multiple opportunities for model evaluation, enhancing process understanding and guiding model improvement. Furthermore, coupling Simstrat with biogeochemical models leverages its robust physical simulations for water quality projections. A beta version of an oxygen model is already running operationally with promising results, paving the way for integrated ecological and geochemical forecasting.

How to cite: Schmid, M., Bärenbold, F., Runnalls, J., and Bouffard, D.: Operational modelling of the thermal structure of Swiss Lakes: Achievements, challenges, and new horizons, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12579, https://doi.org/10.5194/egusphere-egu26-12579, 2026.