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

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    Author(s)
    Mesman, JP
    Ayala, A
    Adrian, R
    De Eyto, E
    Frassl, MA
    Goyette, S
    Kasparian, J
    Perroud, M
    Stelzer, JAA
    Pierson, DC
    Ibelings, BW
    Griffith University Author(s)
    Frassl, Marieke A.
    Year published
    2020
    Metadata
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    Abstract
    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 volume-averaged and surface temperatures and Schmidt stability were simulated more accurately than ...
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    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 volume-averaged 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.
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    Journal Title
    Environmental Modelling & Software
    Volume
    133
    DOI
    https://doi.org/10.1016/j.envsoft.2020.104852
    Copyright Statement
    © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Environmental Engineering
    Science & Technology
    Life Sciences & Biomedicine
    Computer Science, Interdisciplinary Applications
    Publication URI
    http://hdl.handle.net/10072/402231
    Collection
    • Journal articles

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