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

Louise C. Bruce, Marieke A. Frassl, George B. Arhonditsis, Gideon Gal, David P. Hamilton, Paul C. Hanson, Amy L. Hetherington, John M. Melack, Jordan S. Read, Karsten Rinke, Anna Rigosi, Dennis Trolle, Luke Winslow, Rita Adrian, Ana I. Ayala, Serghei A. Bocaniov, Bertram Boehrer, Casper Boon, Justin D. Brookes, Thomas Bueche & 34 others Brendan D. Busch, Diego Copetti, Alicia Cortés, Elvira de Eyto, J. Alex Elliott, Nicole Gallina, Yael Gilboa, Nicolas Guyennon, Lei Huang, Onur Kerimoglu, John D. Lenters, Sally MacIntyre, Vardit Makler-Pick, Chris G. McBride, Santiago Moreira, Deniz Özkundakci, Marco Pilotti, Francisco J. Rueda, James A. Rusak, Nihar R. Samal, Martin Schmid, Tom Shatwell, Craig Snorthheim, Frédéric Soulignac, Giulia Valerio, Leon van der Linden, Mark Vetter, Brigitte Vinçon-Leite, Junbo Wang, Michael Weber, Chaturangi Wickramaratne, R. Iestyn Woolway, Huaxia Yao, Matthew R. Hipsey

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)274-291
Number of pages18
JournalEnvironmental Modelling and Software
Volume102
DOIs
Publication statusPublished - 1 Apr 2018

Fingerprint

Observatories
Lakes
observatory
lake
Testing
prediction
Parameterization
analysis
thermocline
trophic level
Sensitivity analysis
modeling
sensitivity analysis
residence time
parameterization
Temperature distribution
temperature

Cite this

Bruce, Louise C. ; Frassl, Marieke A. ; Arhonditsis, George B. ; Gal, Gideon ; Hamilton, David P. ; Hanson, Paul C. ; Hetherington, Amy L. ; Melack, John M. ; Read, Jordan S. ; Rinke, Karsten ; Rigosi, Anna ; Trolle, Dennis ; Winslow, Luke ; Adrian, Rita ; Ayala, Ana I. ; Bocaniov, Serghei A. ; Boehrer, Bertram ; Boon, Casper ; Brookes, Justin D. ; Bueche, Thomas ; Busch, Brendan D. ; Copetti, Diego ; Cortés, Alicia ; de Eyto, Elvira ; Elliott, J. Alex ; Gallina, Nicole ; Gilboa, Yael ; Guyennon, Nicolas ; Huang, Lei ; Kerimoglu, Onur ; Lenters, John D. ; MacIntyre, Sally ; Makler-Pick, Vardit ; McBride, Chris G. ; Moreira, Santiago ; Özkundakci, Deniz ; Pilotti, Marco ; Rueda, Francisco J. ; Rusak, James A. ; Samal, Nihar R. ; Schmid, Martin ; Shatwell, Tom ; Snorthheim, Craig ; Soulignac, Frédéric ; Valerio, Giulia ; van der Linden, Leon ; Vetter, Mark ; Vinçon-Leite, Brigitte ; Wang, Junbo ; Weber, Michael ; Wickramaratne, Chaturangi ; Woolway, R. Iestyn ; Yao, Huaxia ; Hipsey, Matthew R. / A multi-lake comparative analysis of the General Lake Model (GLM) : Stress-testing across a global observatory network. In: Environmental Modelling and Software. 2018 ; Vol. 102. pp. 274-291.
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abstract = "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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Bruce, LC, Frassl, MA, Arhonditsis, GB, Gal, G, Hamilton, DP, Hanson, PC, Hetherington, AL, Melack, JM, Read, JS, Rinke, K, Rigosi, A, Trolle, D, Winslow, L, Adrian, R, Ayala, AI, Bocaniov, SA, Boehrer, B, Boon, C, Brookes, JD, Bueche, T, Busch, BD, Copetti, D, Cortés, A, de Eyto, E, Elliott, JA, Gallina, N, Gilboa, Y, Guyennon, N, Huang, L, Kerimoglu, O, Lenters, JD, MacIntyre, S, Makler-Pick, V, McBride, CG, Moreira, S, Özkundakci, D, Pilotti, M, Rueda, FJ, Rusak, JA, Samal, NR, Schmid, M, Shatwell, T, Snorthheim, C, Soulignac, F, Valerio, G, van der Linden, L, Vetter, M, Vinçon-Leite, B, Wang, J, Weber, M, Wickramaratne, C, Woolway, RI, Yao, H & Hipsey, MR 2018, 'A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network' Environmental Modelling and Software, vol. 102, pp. 274-291. https://doi.org/10.1016/j.envsoft.2017.11.016

A multi-lake comparative analysis of the General Lake Model (GLM) : Stress-testing across a global observatory network. / Bruce, Louise C.; Frassl, Marieke A.; Arhonditsis, George B.; Gal, Gideon; Hamilton, David P.; Hanson, Paul C.; Hetherington, Amy L.; Melack, John M.; Read, Jordan S.; Rinke, Karsten; Rigosi, Anna; Trolle, Dennis; Winslow, Luke; Adrian, Rita; Ayala, Ana I.; Bocaniov, Serghei A.; Boehrer, Bertram; Boon, Casper; Brookes, Justin D.; Bueche, Thomas; Busch, Brendan D.; Copetti, Diego; Cortés, Alicia; de Eyto, Elvira; Elliott, J. Alex; Gallina, Nicole; Gilboa, Yael; Guyennon, Nicolas; Huang, Lei; Kerimoglu, Onur; Lenters, John D.; MacIntyre, Sally; Makler-Pick, Vardit; McBride, Chris G.; Moreira, Santiago; Özkundakci, Deniz; Pilotti, Marco; Rueda, Francisco J.; Rusak, James A.; Samal, Nihar R.; Schmid, Martin; Shatwell, Tom; Snorthheim, Craig; Soulignac, Frédéric; Valerio, Giulia; van der Linden, Leon; Vetter, Mark; Vinçon-Leite, Brigitte; Wang, Junbo; Weber, Michael; Wickramaratne, Chaturangi; Woolway, R. Iestyn; Yao, Huaxia; Hipsey, Matthew R.

In: Environmental Modelling and Software, Vol. 102, 01.04.2018, p. 274-291.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A multi-lake comparative analysis of the General Lake Model (GLM)

T2 - Stress-testing across a global observatory network

AU - Bruce, Louise C.

AU - Frassl, Marieke A.

AU - Arhonditsis, George B.

AU - Gal, Gideon

AU - Hamilton, David P.

AU - Hanson, Paul C.

AU - Hetherington, Amy L.

AU - Melack, John M.

AU - Read, Jordan S.

AU - Rinke, Karsten

AU - Rigosi, Anna

AU - Trolle, Dennis

AU - Winslow, Luke

AU - Adrian, Rita

AU - Ayala, Ana I.

AU - Bocaniov, Serghei A.

AU - Boehrer, Bertram

AU - Boon, Casper

AU - Brookes, Justin D.

AU - Bueche, Thomas

AU - Busch, Brendan D.

AU - Copetti, Diego

AU - Cortés, Alicia

AU - de Eyto, Elvira

AU - Elliott, J. Alex

AU - Gallina, Nicole

AU - Gilboa, Yael

AU - Guyennon, Nicolas

AU - Huang, Lei

AU - Kerimoglu, Onur

AU - Lenters, John D.

AU - MacIntyre, Sally

AU - Makler-Pick, Vardit

AU - McBride, Chris G.

AU - Moreira, Santiago

AU - Özkundakci, Deniz

AU - Pilotti, Marco

AU - Rueda, Francisco J.

AU - Rusak, James A.

AU - Samal, Nihar R.

AU - Schmid, Martin

AU - Shatwell, Tom

AU - Snorthheim, Craig

AU - Soulignac, Frédéric

AU - Valerio, Giulia

AU - van der Linden, Leon

AU - Vetter, Mark

AU - Vinçon-Leite, Brigitte

AU - Wang, Junbo

AU - Weber, Michael

AU - Wickramaratne, Chaturangi

AU - Woolway, R. Iestyn

AU - Yao, Huaxia

AU - Hipsey, Matthew R.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - 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.

AB - 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.

KW - GLM

KW - Global observatory data

KW - Lake model

KW - Model assessment

KW - Network science

KW - Stratification

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U2 - 10.1016/j.envsoft.2017.11.016

DO - 10.1016/j.envsoft.2017.11.016

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JO - Environmental Modelling & Software

JF - Environmental Modelling & Software

SN - 1364-8152

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