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A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network
Bruce, LC (Bruce, Louise C.)1; Frassl, MA (Frassl, Marieke A.)2,3; Arhonditsis, GB (Arhonditsis, George B.)4; Gal, G (Gal, Gideon)5; Hamilton, DP (Hamilton, David P.)6; Hanson, PC (Hanson, Paul C.)7; Hetherington, AL (Hetherington, Amy L.)8,9; Melack, JM (Melack, John M.)10; Read, JS (Read, Jordan S.)11; Rinke, K (Rinke, Karsten)2; Rigosi, A (Rigosi, Anna)12; Trolle, D (Trolle, Dennis)13; Winslow, L (Winslow, Luke)14; Adrian, R (Adrian, Rita)15; Ayala, AI (Ayala, Ana I.)16; Bocaniov, SA (Bocaniov, Serghei A.)2,26; Boehrer, B (Boehrer, Bertram)2; Boon, C (Boon, Casper)1; Brookes, JD (Brookes, Justin D.)12; Bueche, T (Bueche, Thomas)17; Busch, BD (Busch, Brendan D.)1; Copetti, D (Copetti, Diego)18; Cortes, A (Cortes, Alicia)19; de Eyto, E (de Eyto, Elvira)20; Elliott, JA (Elliott, J. Alex)21; Gallina, N (Gallina, Nicole)22; Gilboa, Y (Gilboa, Yael)23; Guyennon, N (Guyennon, Nicolas)18; Huang, L (Huang, Lei)24; Kerimoglu, O (Kerimoglu, Onur)25; Lenters, JD (Lenters, John D.)7; MacIntyre, S (MacIntyre, Sally)19,27; Makler-Pick, V (Makler-Pick, Vardit)28; McBride, CG (McBride, Chris G.)6; Moreira, S (Moreira, Santiago)29; Ozkundakci, D (Oezkundakci, Deniz)15,30; Pilotti, M (Pilotti, Marco)31; Rueda, FJ (Rueda, Francisco J.)16,32; Rusak, JA (Rusak, James A.)33; Samal, NR (Samal, Nihar R.)34; Schmid, M (Schmid, Martin)35; Shatwell, T (Shatwell, Tom)36; Snorthheim, C (Snorthheim, Craig)7; Soulignac, F (Soulignac, Frederic)25,37; Valerio, G (Valerio, Giulia)31; van der Linden, L (van der Linden, Leon)38; Vetter, M (Vetter, Mark)39; Vincon-Leite, B (Vincon-Leite, Brigitte)37; Wang, JB (Wang, Junbo)24; Weber, M (Weber, Michael)2; Wickramaratne, C (Wickramaratne, Chaturangi)12; Woolway, RI (Woolway, R. Iestyn)40; Yao, HX (Yao, Huaxia)33; Hipsey, MR (Hipsey, Matthew R.)1

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. (c) 2017 Published by Elsevier Ltd.

Subject Area地理学
WOS IDWOS:000426583300021
Indexed BySCIE
KeywordBayesian Hierarchical Framework Aquatic Biogeochemical Models Central-european Lake Sub-alpine Lake Climate-change Thermal Structure Ecological State Temperate Lakes Regime Shifts Dyresm-caedym
WOS Research AreaComputer Science ; Engineering ; Environmental Sciences & Ecology
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
Cooperation Status国际
Citation statistics
Document Type期刊论文
Corresponding AuthorBruce, LC (Bruce, Louise C.)
Affiliation1.[Bruce, Louise C.; Boon, Casper; Busch, Brendan D.; Hipsey, Matthew R.] Univ Western Australia, UWA Sch Agr & Environm, Aquat EcoDynam Grp, Nedlands, WA, Australia;
2.UFZ Helmholtz Ctr Environm Res, Dept Lake Res, Leipzig, Germany;
3.[Frassl, Marieke A.] Univ Konstanz, Limnol Inst, Constance, Germany;
4.[Arhonditsis, George B.] Univ Toronto, Dept Phys & Environm Sci, Toronto, ON, Canada;
5.Israel Oceanog & Limnol Res, Kinneret Limnol Lab, Haifa, Israel;
6.[Hamilton, David P.; McBride, Chris G.] Univ Waikato, Environm Res Inst, Hamilton, New Zealand;
7.Univ Wisconsin, Ctr Limnol, Madison, WI 53706 USA;
8.[Hetherington, Amy L.] Virginia Tech, Dept Biol Sci, Blacksburg, VA USA;
9.[Hetherington, Amy L.] Cornell Univ, Dept Nat Resources, Ithaca, NY 14853 USA;
10.[Melack, John M.] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA;
11.[Read, Jordan S.] US Geol Survey, Ctr Integrated Data Analyt, 959 Natl Ctr, Reston, VA 22092 USA;
12.Univ Adelaide, Sch Biol Sci, Inst Environm, Water Res Ctr, Adelaide, SA, Australia;
13.Aarhus Univ, Dept Biosci, Aarhus, Denmark;
14.Rensselaer Polytech Inst, Dept Biol Sci, Troy, NY 12180 USA;
15.Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecosyst Res, Berlin, Germany;
16.[Ayala, Ana I.; Rueda, Francisco J.] Univ Granada, Dept Civil Engn, Granada, Spain;
17.Ludwig Maximilians Univ Munchen, Dept Geog, Munich, Germany;
18.CNR, Water Res Inst IRSA CNR, Rome, Italy;
19.Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA;
20.Marine Inst, Galway, Ireland;
21.Ctr Ecol & Hydrol, Lancaster, England;
22.Univ Geneva, Inst Environm Sci, Dept FA Forel Environm & Aquat Sci, Grp Aquat Phys, Geneva, Switzerland;
23.Technion Israel Inst Technol, Fac Civil & Environm Engn, Haifa, Israel;
24.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China;
25.Univ Savoie Mt Blanc, UMR CARRTEL, INRA, Thonon Les Bains, France;
26.[Bocaniov, Serghei A.] Univ Michigan, Graham Sustainabil Inst, Ann Arbor, MI 48109 USA;
27.Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA;
28.Oranim Coll, Qiryat Tivon, Israel;
29.Univ Paris Saclay, UVSQ, CNRS, CEA,IPSL,LSCE, Paris, France;
30.Waikato Reg Council, Sci & Strategy, Hamilton, New Zealand;
31.Univ Brescia, DICATAM Dept, Brescia, Italy;
32.[Rueda, Francisco J.] Univ Granada, Water Res Inst, Granada, Spain;
33.Ontario Minist Environm & Cimate Change, Dorset Environm Sci Ctr, Toronto, ON, Canada;
34.[Samal, Nihar R.] Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Sci Res Ctr, Durham, NH 03824 USA;
35.Eawag Swiss Fed Inst Aquat Sci & Technol, Surface Waters Res & Management, Dubendorf, Switzerland;
36.Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecohydrol, Berlin, Germany;
37.Univ Paris Est, LEESU Ecole Ponts ParisTech, Paris, France;
38.South Australian Water Corp, Australian Water Qual Ctr, Adelaide, SA, Australia;
39.Karlsruhe Univ Appl Sci, Fac Informat Management & Media, Karlsruhe, Germany;
40.Univ Reading, Dept Meteorol, Reading, Berks, England.
Recommended Citation
GB/T 7714
Bruce, LC ,Frassl, MA ,Arhonditsis, GB ,et al. A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2018,102(0):274-291.
APA Bruce, LC .,Frassl, MA .,Arhonditsis, GB .,Gal, G .,Hamilton, DP .,...&Hipsey, MR .(2018).A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network.ENVIRONMENTAL MODELLING & SOFTWARE,102(0),274-291.
MLA Bruce, LC ,et al."A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network".ENVIRONMENTAL MODELLING & SOFTWARE 102.0(2018):274-291.
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