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Groundwater recharge predictions in contrasted climate: the effect of model complexity and calibration period on recharge rates
Moeck, C., von Freyberg, J., & Schirmer, M. (2018). Groundwater recharge predictions in contrasted climate: the effect of model complexity and calibration period on recharge rates. Environmental Modelling and Software, 103, 74-89. https://doi.org/10.1016/j.envsoft.2018.02.005
The influence of model structure on groundwater recharge rates in climate-change impact studies
Moeck, C., Brunner, P., & Hunkeler, D. (2016). The influence of model structure on groundwater recharge rates in climate-change impact studies. Hydrogeology Journal, 24(5), 1171-1184. https://doi.org/10.1007/s10040-016-1367-1
The effect of model complexity in simulating unsaturated zone flow processes on recharge estimation at varying time scales
Ghasemizade, M., Moeck, C., & Schirmer, M. (2015). The effect of model complexity in simulating unsaturated zone flow processes on recharge estimation at varying time scales. Journal of Hydrology, 529, 1173-1184. https://doi.org/10.1016/j.jhydrol.2015.09.027
Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model
Dietzel, A., & Reichert, P. (2012). Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model. Environmental Modelling and Software, 38(December), 129-146. https://doi.org/10.1016/j.envsoft.2012.05.007
Site classification according to risk of diffuse pollution. Addressing the issue of model compexity
David, T. (2008). Site classification according to risk of diffuse pollution. Addressing the issue of model compexity [Master thesis].
Entropy-based fuzzy set optimisation for reducing ecological model complexity
Mouton, A. M., De Baets, B., Peter, A., Holzer, G., Müller, R., & Goethals, P. L. M. (2008). Entropy-based fuzzy set optimisation for reducing ecological model complexity. In M. Sànchez-Marrè, J. Béjar, J. Comas, A. Rizzoli, & G. Guariso (Eds.), Vol. 3. Integrating sciences and information technology for environmental assessment and decision making. 4th biennial meeting of iEMSs (pp. 1750-1757).