TY - JOUR

T1 - A multi-lake comparative analysis of the General Lake Model (GLM): 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 - Cortes, 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 - Oezkundakci, 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, Frederic

AU - Valerio, Giulia

AU - van der Linden, Leon

AU - Vetter, Mark

AU - Vincon-Leite, Brigitte

AU - Wang, Junbo

AU - Weber, Michael

AU - Wickramaratne, Chaturangi

AU - Woolway, R. Iestyn

AU - Yao, Huaxia

AU - Hipsey, Matthew R.

PY - 2018/4/14

Y1 - 2018/4/14

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 - Lake model

KW - Stratification

KW - GLM

KW - Model assessment

KW - Global observatory data

KW - Network science

U2 - 10.1016/j.envsoft.2017.11.016

DO - 10.1016/j.envsoft.2017.11.016

M3 - Article

VL - 102

SP - 274

EP - 291

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

ER -