Scientific article
Open access

Performance of one-dimensional hydrodynamic lake models during short-term extreme weather events

Published inEnvironmental Modelling & Software, vol. 133, no. 104852
Publication date2020

Numerical lake models are useful tools to study hydrodynamics in lakes, and are increasingly applied to extreme weather events. However, little is known about the accuracy of such models during these short-term events. We used high-frequency data from three lakes to test the performance of three one-dimensional (1D) hydrodynamic models (Simstrat, GOTM, GLM) during storms and heatwaves. Models reproduced the overall direction and magnitude of changes during the extreme events, with accurate timing and little bias. Changes in volumeaveraged and surface temperatures and Schmidt stability were simulated more accurately than changes in bottom temperature, maximum buoyancy frequency, or mixed layer depth. However, in most cases the model error was higher (30–100%) during extreme events compared to reference periods. As a consequence, while 1D lake models can be used to study effects of extreme weather events, the increased uncertainty in the simulations should be taken into account when interpreting results.

  • Storm
  • Heatwave
  • Model validation
  • Simstrat
  • GOTM
  • General lake model
Citation (ISO format)
MESMAN, J.P. et al. Performance of one-dimensional hydrodynamic lake models during short-term extreme weather events. In: Environmental Modelling & Software, 2020, vol. 133, n° 104852. doi: 10.1016/j.envsoft.2020.104852
Main files (1)
Article (Published version)
ISSN of the journal1364-8152

Technical informations

Creation09/08/2020 5:57:00 PM
First validation09/08/2020 5:57:00 PM
Update time03/15/2023 10:32:36 PM
Status update03/15/2023 10:32:35 PM
Last indexation02/12/2024 11:54:49 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack