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DatoValore
TitleA multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network
AbstractThe 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.
SourceEnvironmental modelling & software 102, pp. 274–291
KeywordsGLMGlobal observatory dataLake modelModel assessmentNetwork scienceStratification
JournalEnvironmental modelling & software
EditorElsevier,, Oxford, Regno Unito
Year2018
TypeArticolo in rivista
DOI10.1016/j.envsoft.2017.11.016
AuthorsBruce, Louise C.; Frassl, Marieke A.; Frassl, Marieke A.; Arhonditsis, George B.; Gal, Gideon; Hamilton, David P.; Hanson, Paul C.; Hetherington, Amy L.; 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.; 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; MacIntyre, Sally; Makler-Pick, Vardit; McBride, Chris G.; Moreira, Santiago; Özkundakci, Deniz; Özkundakci, Deniz; Pilotti, Marco; Rueda, Francisco J.; Rueda, Francisco J.; Rusak, James A.; Samal, Nihar R.; Schmid, Martin; Shatwell, Tom; Snorthheim, Craig; Soulignac, Frédéric; 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.
Text388292 2018 10.1016/j.envsoft.2017.11.016 Scopus 2 s2.0 85042208207 ISI Web of Science WOS WOS 000426583300021 GLM Global observatory data Lake model Model assessment Network science Stratification A multi lake comparative analysis of the General Lake Model GLM Stress testing across a global observatory network Bruce, Louise C.; Frassl, Marieke A.; Frassl, Marieke A.; Arhonditsis, George B.; Gal, Gideon; Hamilton, David P.; Hanson, Paul C.; Hetherington, Amy L.; 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.; Bocaniov, Serghei A.; Boehrer, Bertram; Boon, Casper; Brookes, Justin D.; Bueche, Thomas; Busch, Brendan D.; Copetti, Diego; Cortes, Alicia; de Eyto, Elvira; Elliott, J. Alex; Gallina, Nicole; Gilboa, Yael; Guyennon, Nicolas; Huang, Lei; Kerimoglu, Onur; Lenters, John D.; MacIntyre, Sally; MacIntyre, Sally; Makler Pick, Vardit; McBride, Chris G.; Moreira, Santiago; Özkundakci, Deniz; Özkundakci, Deniz; Pilotti, Marco; Rueda, Francisco J.; Rueda, Francisco J.; Rusak, James A.; Samal, Nihar R.; Schmid, Martin; Shatwell, Tom; Snorthheim, Craig; Soulignac, Frederic; Soulignac, Frederic; 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. University of Western Australia; Helmholtz Zentrum fur Umweltforschung; Universitat Konstanz; University of Toronto; Israel Oceanographic amp; Limnological Research Ltd.; University of Waikato; University of Wisconsin Madison; Virginia Polytechnic Institute and State University; Cornell University; University of California, Santa Barbara; United States Geological Survey; University of Adelaide; Aarhus Universitet; Rensselaer Polytechnic Institute; Leibniz Institut fur Gewasserokologie Und Binnenfischerei; Universidad de Granada; Ludwig Maximilians Universitat Munchen; Consiglio Nazionale delle Ricerche; University of California, Santa Barbara; Marine Institute Ireland; Centre for Ecology amp; Hydrology; Universite de Geneve; Technion Israel Institute of Technology; Istituto di Ricerca sulle Acque, Italy; Chinese Academy of Sciences; Universite Savoie Mont Blanc; University of Michigan; University of California, Santa Barbara; Oranim College; Universite Paris Saclay; Waikato Regional Council; Universita degli Studi di Brescia; Universidad de Granada; Ontario Ministry of Environment and Cimate Change; University of New Hampshire Durham; Swiss Federal Institute of Aquatic Science and Technology; Leibniz Institut fur Gewasserokologie Und Binnenfischerei; Universite Paris Est; Australian Water Quality Centre; Hochschule Karlsruhe Technik und Wirtschaft; University of Reading 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. 102 Published version http //www.scopus.com/record/display.url eid=2 s2.0 85042208207 origin=inward A multi lake ... pdf Bruce_et_al_2018_EnvModSoft.pdf Articolo in rivista Elsevier, 1364 8152 Environmental modelling software Environmental modelling software Environ. model. softw. Environmental modelling software Environmental modelling and software diego.copetti COPETTI DIEGO nicolasdominique.guyennon GUYENNON NICOLAS DOMINIQUE