A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

Louise Bruce; Marieke Frassl; George Arhonditsis; Gideon Gal; David Hamilton; Paul Hanson; Amy Hetherington; John Melack; Jordan Read; Karsten Rinke; Anna Rigosi; Dennis Trolle; Luke Winslow; Rita Adrian; Ana Ayala; Serghei Bocaniov; Bertram Boehrer; Casper Boon; Justin Brookes; Thomas Bueche; Brendan Busch; Diego Copetti; Alicia Cortés; Elvira de Eyto; J. Alex Elliott; Nicole Gal; Yael Gilboa; Nicolas Guyennon; Lei Huang; Onur Kerimoglu; John Lenters; Sally Macintyre; Vardit Makler-Pick; Chris Mcbride; Santiago Moreira; Marco Pilotti; Francisco Rueda; James Rusak; Nihar Samal; Martin Schmid; Tom Shatwell; Craig Snorthheim; Frédéric Soulignac; Giulia Valerio; Leon van Der Linden; Mark Vetter; Lei Vinçon-Leite; Junbo Wang; Michaël Weber; Chaturangi Wickramaratne; R. Iestyn Woolway; Huaxia Yao; Matthew Hipsey

doi:10.1016/j.envsoft.2017.11.016

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A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

Journal article

Peer reviewed

A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

Louise Bruce, Marieke Frassl, George Arhonditsis, Gideon Gal, David Hamilton, Paul Hanson, Amy Hetherington, John Melack, Jordan Read, Karsten Rinke, …

Environmental Modelling and Software, Vol.102, pp.274-291

04/2018

DOI: https://doi.org/10.1016/j.envsoft.2017.11.016

Abstract

GLM

lake model

stratification

global observatory data

network science

model assessment

changement climatique

lac

modélisation

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.

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Title: A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network
Creators - without role: Louise Bruce - University of Western Australia
Marieke Frassl - Helmholtz Centre for Environmental Research
George Arhonditsis - University of Toronto
Gideon Gal - Israel Oceanographic and Limnological Research
David Hamilton - University of Waikato
Paul Hanson - University of Wisconsin–Madison
Amy Hetherington - Louisiana Department of Natural Resources
John Melack - University of California, Santa Barbara
Jordan Read - United States Geological Survey
Karsten Rinke - Helmholtz Centre for Environmental Research
Anna Rigosi - University of Adelaide
Dennis Trolle - Aarhus University
Luke Winslow - Rensselaer Polytechnic Institute
Rita Adrian - Leibniz Institute of Freshwater Ecology and Inland Fisheries
Ana Ayala - Universidad de Granada
Serghei Bocaniov - Helmholtz-Zentrum Hereon
Bertram Boehrer - Helmholtz Centre for Environmental Research
Casper Boon - University of Western Australia
Justin Brookes - University of Adelaide
Thomas Bueche - Ludwig-Maximilians-Universität München
Brendan Busch - University of Western Australia
Diego Copetti - Water Research Institute
Alicia Cortés - University of California, Santa Barbara
Elvira de Eyto - Marine Institute
J. Alex Elliott - UK Centre for Ecology & Hydrology
Nicole Gal
Yael Gilboa - Technion – Israel Institute of Technology
Nicolas Guyennon - Water Research Institute
Lei Huang - Histoire culturelle et sociale de l'art
Onur Kerimoglu - Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre
John Lenters - University of Wisconsin–Madison
Sally Macintyre - MRC/CSO Social and Public Health Sciences Unit
Vardit Makler-Pick - Leibniz Institute of Freshwater Ecology and Inland Fisheries
Chris Mcbride - University of Waikato
Santiago Moreira - Laboratoire des Sciences du Climat et de l'Environnement
Marco Pilotti - South Australian Water Corporation
Francisco Rueda - Universidad de Granada
James Rusak - Swiss Federal Institute of Aquatic Science and Technology
Nihar Samal - University of New Hampshire
Martin Schmid - Swiss Federal Institute of Aquatic Science and Technology
Tom Shatwell - Ministry of Environment
Craig Snorthheim - University of Wisconsin–Madison
Frédéric Soulignac - Université Savoie Mont Blanc
Giulia Valerio - Australian Water Quality Centre
Leon van Der Linden - Roskilde University
Mark Vetter - University of Colorado Boulder
Lei Vinçon-Leite
Junbo Wang - Karlsruhe University of Applied Sciences
Michaël Weber - Université de Montpellier, Institut de Génétique Moléculaire de Montpellier - IGMM
Chaturangi Wickramaratne - University of Western Australia
R. Iestyn Woolway - University of Reading
Huaxia Yao - Ministry of the Environment, Conservation and Parks
Matthew Hipsey - University of Western Australia
Publication Details: Environmental Modelling and Software, Vol.102, pp.274-291
Grant note: Australian Research Council (ARC) DP130104078 LP130100756
Identifiers: 9938130709311
Academic Unit: Institut de Génétique Moléculaire de Montpellier - IGMM
Language: English
Resource Type: Journal article
Local Fields: hal-02070282