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An automated calibration framework and open source tools for 3D lake hydrodynamic models
Baracchini, T., Hummel, S., Verlaan, M., Cimatoribus, A., Wüest, A., & Bouffard, D. (2020). An automated calibration framework and open source tools for 3D lake hydrodynamic models. Environmental Modelling and Software, 134, 104787 (16 pp.). https://doi.org/10.1016/j.envsoft.2020.104787
Incremental parameter estimation under rank-deficient measurement conditions
Villez, K., Billeter, J., & Bonvin, D. (2019). Incremental parameter estimation under rank-deficient measurement conditions. Processes, 7(2), 75 (33 pp.). https://doi.org/10.3390/pr7020075
Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology
Wani, O., Scheidegger, A., Cecinati, F., Espadas, G., & Rieckermann, J. (2019). Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology. Journal of Hydrology, 575, 1031-1040. https://doi.org/10.1016/j.jhydrol.2019.06.006
Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method
Kattwinkel, M., & Reichert, P. (2017). Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method. Environmental Modelling and Software, 87, 110-119. https://doi.org/10.1016/j.envsoft.2016.11.001
Optimizing campaigns for changing routine behaviors by using an empirically calibrated microsimulation model
Tobias, R., & Mosler, H. J. (2017). Optimizing campaigns for changing routine behaviors by using an empirically calibrated microsimulation model. Social Science Computer Review, 35(2), 184-202. https://doi.org/10.1177/0894439315620866
Parameter estimation of hydrologic models using a likelihood function for censored and binary observations
Wani, O., Scheidegger, A., Carbajal, J. P., Rieckermann, J., & Blumensaat, F. (2017). Parameter estimation of hydrologic models using a likelihood function for censored and binary observations. Water Research, 121, 290-301. https://doi.org/10.1016/j.watres.2017.05.038
Global parameter optimization for biokinetic modeling of simple batch experiments
Mašić, A., Udert, K. M., & Villez, K. (2016). Global parameter optimization for biokinetic modeling of simple batch experiments. Environmental Modelling and Software, 85, 356-373. https://doi.org/10.1016/j.envsoft.2016.06.015
Bioaccumulation kinetics of organic xenobiotic pollutants in the freshwater invertebrate <I>Gammarus pulex</I> modeled with prediction intervals
Ashauer, R., Caravatti, I., Hintermeister, A., & Escher, B. I. (2010). Bioaccumulation kinetics of organic xenobiotic pollutants in the freshwater invertebrate Gammarus pulex modeled with prediction intervals. Environmental Toxicology and Chemistry, 29(7), 1625-1636. https://doi.org/10.1002/etc.175
Effects of basic decisions in the design and analysis of the model of prospective memory and habit development
Tobias, R., & Buchsbaum, T. (2010). Effects of basic decisions in the design and analysis of the model of prospective memory and habit development. In A. Ernst & S. Kuhn (Eds.), Proceedings of the 3rd world congress on social simulation (p. (8 pp.). WCSS.
ECOBAS - a tool to develop ecosystem models exemplified by the shallow lake model EMMO
Strube, T., Benz, J., Kardaetz, S., & Brüggemann, R. (2008). ECOBAS - a tool to develop ecosystem models exemplified by the shallow lake model EMMO. Ecological Informatics, 3(2), 154-169. https://doi.org/10.1016/j.ecoinf.2008.01.003
Analysis of the transferability of a biogeochemical lake model to lakes of different trophic state
Mieleitner, J., & Reichert, P. (2006). Analysis of the transferability of a biogeochemical lake model to lakes of different trophic state. Ecological Modelling, 194(1-3), 49-61. https://doi.org/10.1016/j.ecolmodel.2005.10.039
Estimating unsaturated soil hydraulic parameters using ant colony optimization
Abbaspour, K. C., Schulin, R., & van Genuchten, M. T. (2001). Estimating unsaturated soil hydraulic parameters using ant colony optimization. Advances in Water Resources, 24(8), 827-841. https://doi.org/10.1016/S0309-1708(01)00018-5
Biogeochemical model of Lake Zürich: sensitivity, identifiability and uncertainty analysis
Omlin, M., Brun, R., & Reichert, P. (2001). Biogeochemical model of Lake Zürich: sensitivity, identifiability and uncertainty analysis. Ecological Modelling, 141(1-3), 105-123. https://doi.org/10.1016/S0304-3800(01)00257-5
Design techniques of a computer program for the Identification of processes and the simulation of water quality aquatic systems
Reichert, P. (1995). Design techniques of a computer program for the Identification of processes and the simulation of water quality aquatic systems. Environmental Software, 10(3), 199-210. https://doi.org/10.1016/0266-9838(95)00010-I
The use of AQUASIM for estimating parameters of activated sludge models
Reichert, P., von Schulthess, R., & Wild, D. (1995). The use of AQUASIM for estimating parameters of activated sludge models. Water Science and Technology, 31(2), 135-147. https://doi.org/10.1016/0273-1223(95)00187-R
AQUASIM - a tool for simulation and data analysis of aquatic systems
Reichert, P. (1994). AQUASIM - a tool for simulation and data analysis of aquatic systems. Water Science and Technology, 30(2), 21-30. https://doi.org/10.2166/wst.1994.0025
Calibration of an activated sludge model based on human expertise and on a mathematical optimization technique - a comparison
Wanner, O., Kappeler, J., & Gujer, W. (1992). Calibration of an activated sludge model based on human expertise and on a mathematical optimization technique - a comparison. Water Science and Technology, 25(6), 141-148. https://doi.org/10.2166/wst.1992.0119