Electronic versions

  • Louise C. Bruce
    University of Western Australia
  • Marieke A. Frassl
    Helmholtz Centre for Environmental Research – UFZ, Leipzig
  • George B. Arhonditsis
    University of Toronto
  • Gideon Gal
    Israel Oceanographic and Limnological Research
  • David P. Hamilton
    University of Waikato
  • Paul C. Hanson
    University of Wisconsin-Madison
  • Amy L. Hetherington
    Virginia Tech, Blacksburg
  • John M. Melack
    University of California, Santa Barbara
  • Jordan S. Read
    U.S. Geological Survey
  • Karsten Rinke
    Helmholtz Centre for Environmental Research – UFZ, Leipzig
  • Anna Rigosi
    University of Adelaide
  • Dennis Trolle
    Aarhus University
  • Luke Winslow
    Rensselaer Polytechnic Institute, New York
  • Rita Adrian
    Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin
  • Ana I. Ayala
    University of Granada
  • Serghei A. Bocaniov
    Helmholtz Centre for Environmental Research – UFZ, Leipzig
  • Bertram Boehrer
    Helmholtz Centre for Environmental Research – UFZ, Leipzig
  • Casper Boon
    University of Western Australia
  • Justin D. Brookes
    University of Adelaide
  • Thomas Bueche
    Ludwig-Maximilian Universität München
  • Brendan D. Busch
    University of Western Australia
  • Diego Copetti
    CNR Water Research Institute (IRSA)
  • Alicia Cortes
    University of California, Santa Barbara
  • Elvira de Eyto
    Marine Institute, Furnace, Newport
  • J. Alex Elliott
    Centre for Ecology & Hydrology, Lancaster
  • Nicole Gallina
    University of Geneva
  • Yael Gilboa
    Israel Institute of Technology
  • Nicolas Guyennon
    CNR Water Research Institute (IRSA)
  • Lei Huang
    Chinese Academy of Sciences
  • Onur Kerimoglu
    University Savoie Mont Blanc
  • John D. Lenters
    University of Wisconsin-Madison
  • Sally MacIntyre
    University of California, Santa Barbara
  • Vardit Makler-Pick
    Oranim College
  • Chris G. McBride
    University of Waikato
  • Santiago Moreira
    Université Paris-Saclay
  • Deniz Oezkundakci
    Waikato Regional Council
  • Marco Pilotti
    Università degli Studi di Brescia
  • Francisco J. Rueda
    University of Granada
  • James A. Rusak
    Ontario Ministry of the Environment Conservation and Parks
  • Nihar R. Samal
    University of New Hampshire
  • Martin Schmid
    Swiss Federal Institute of Aquatic Science and Technology
  • Tom Shatwell
    Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin
  • Craig Snorthheim
    University of Wisconsin-Madison
  • Frederic Soulignac
    Université Savoie Mont Blanc
  • Giulia Valerio
    Università degli Studi di Brescia
  • Leon van der Linden
    South Australian Water Corporation
  • Mark Vetter
    Karlsruhe university
  • Brigitte Vincon-Leite
    Université Paris Est-Créteil
  • Junbo Wang
    Chinese Academy of Sciences
  • Michael Weber
    Helmholtz Centre for Environmental Research – UFZ, Leipzig
  • Chaturangi Wickramaratne
    University of Adelaide
  • R. Iestyn Woolway
    University of Reading
  • Huaxia Yao
    Ontario Ministry of the Environment Conservation and Parks
  • Matthew R. Hipsey
    University of Western Australia
The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required.

Keywords

  • Lake model, Stratification, GLM, Model assessment, Global observatory data, Network science
Original languageEnglish
Pages (from-to)274-291
JournalEnvironmental Modelling and Software
Volume102
Early online date14 Feb 2018
DOIs
Publication statusPublished - 14 Apr 2018
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