Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.envsoft.2017.11.016 |
| Document | accepted manuscript |
| Title (Primary) | A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network |
| Author | Bruce, L.C.; Frassl, M.A.; Arhonditsis, G.B.; Gal, G.; Hamilton, D.P.; Hanson, P.C.; Hetherington, A.L.; Melack, J.M.; Read, J.S.; Rinke, K.; Rigosi, A.; Trolle, D.; Winslow, L.; Adrian, R.; Ayala, A.I.; Bocaniov, S.A.; Boehrer, B.; Boon, C.; Brookes, J.D.; Bueche, T.; Busch, B.D.; Copetti, D.; Cortés, A.; de Eyto, E.; Elliott, J.A.; Gallina, N.; Gilboa, Y.; Guyennon, N.; Huang, L.; Kerimoglu, O.; Lenters, J.D.; MacIntyre, S.; Makler-Pick, V.; McBride, C.G.; Moreira, S.; Ozkundakci, D.; Pilotti, M.; Rueda, F.J.; Rusak, J.A.; Samal, N.R.; 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, R.I.; Yao, H.; Hipsey, M.R. |
| Source Titel | Environmental Modelling & Software |
| Year | 2018 |
| Department | SEEFO |
| Volume | 102 |
| Page From | 274 |
| Page To | 291 |
| Language | englisch |
| Supplements | https://ars.els-cdn.com/content/image/1-s2.0-S1364815216311562-mmc1.docx |
| Keywords | Lake model; Stratification; GLM; Model assessment; Global observatory data; Network science |
| UFZ wide themes | RU2; |
| 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. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=19917 |
| Bruce, L.C., Frassl, M.A., Arhonditsis, G.B., Gal, G., Hamilton, D.P., Hanson, P.C., Hetherington, A.L., Melack, J.M., Read, J.S., Rinke, K., Rigosi, A., Trolle, D., Winslow, L., Adrian, R., Ayala, A.I., Bocaniov, S.A., Boehrer, B., Boon, C., Brookes, J.D., Bueche, T., Busch, B.D., Copetti, D., Cortés, A., de Eyto, E., Elliott, J.A., Gallina, N., Gilboa, Y., Guyennon, N., Huang, L., Kerimoglu, O., Lenters, J.D., MacIntyre, S., Makler-Pick, V., McBride, C.G., Moreira, S., Ozkundakci, D., Pilotti, M., Rueda, F.J., Rusak, J.A., Samal, N.R., 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, R.I., Yao, H., Hipsey, M.R. (2018): A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network Environ. Modell. Softw. 102 , 274 - 291 10.1016/j.envsoft.2017.11.016 |
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