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Accounting for erroneous model structures in biokinetic process models
Villez, K., Del Giudice, D., Neumann, M. B., & Rieckermann, J. (2020). Accounting for erroneous model structures in biokinetic process models. Reliability Engineering and System Safety, 203, 107075 (8 pp.). https://doi.org/10.1016/j.ress.2020.107075
Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator
Machac, D., Reichert, P., Rieckermann, J., Del Giudice, D., & Albert, C. (2018). Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. Environmental Modelling and Software, 109, 66-79. https://doi.org/10.1016/j.envsoft.2018.07.016
Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation
Del Giudice, D., Albert, C., Rieckermann, J., & Reichert, P. (2016). Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation. Water Resources Research, 52(4), 3162-3186. https://doi.org/10.1002/2015WR017871
Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors
Del Giudice, D., Löwe, R., Madsen, H., Mikkelsen, P. S., & Rieckermann, J. (2015). Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors. Water Resources Research, 51(7), 5004-5022. https://doi.org/10.1002/2014WR016678
Improving output and input statistical error descriptions in urban hydrological modeling
Del Giudice, D. (2015). Improving output and input statistical error descriptions in urban hydrological modeling [Doctoral dissertation, ETH Zürich]. https://doi.org/10.3929/ethz-a-010536371
Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions
Del Giudice, D., Reichert, P., Bareš, V., Albert, C., & Rieckermann, J. (2015). Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions. Environmental Modelling and Software, 64, 205-214. https://doi.org/10.1016/j.envsoft.2014.11.006
The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration
Sikorska, A. E., Del Giudice, D., Banasik, K., & Rieckermann, J. (2015). The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration. Journal of Hydrology, 530, 241-254. https://doi.org/10.1016/j.jhydrol.2015.09.051
Berücksichtigung von systematischen Modellabweichungen in der Kanalnetzsimulation
Del Giudice, D., Honti, M., Scheidegger, A., Albert, C., Reichert, P., & Rieckermann, J. (2013). Berücksichtigung von systematischen Modellabweichungen in der Kanalnetzsimulation. In Gewässerschutz bei Regenwetter – Gemeinschaftsaufgabe für Stadtplaner, Ingenieure und Ökologen (pp. 166-170). Eawag.
Improving uncertainty estimation in urban hydrological modeling by statistically describing bias
Del Giudice, D., Honti, M., Scheidegger, A., Albert, C., Reichert, P., & Rieckermann, J. (2013). Improving uncertainty estimation in urban hydrological modeling by statistically describing bias. Hydrology and Earth System Sciences, 17(10), 4209-4225. https://doi.org/10.5194/hess-17-4209-2013
Dynamic time warping improves sewer flow monitoring
Dürrenmatt, D. J., Del Giudice, D., & Rieckermann, J. (2013). Dynamic time warping improves sewer flow monitoring. Water Research, 47(11), 3803-3816. https://doi.org/10.1016/j.watres.2013.03.051
Ignoring the complexity of drainage network in drainage modeling: an efficient step towards integrated modeling
Coutu, S., Del Giudice, D., Rossi, L., & Barry, D. A. (2012). Ignoring the complexity of drainage network in drainage modeling: an efficient step towards integrated modeling. In D. Prodanović & J. Plavšić (Eds.), Urban drainage modelling. Proceedings of the ninth international conference on urban drainage modelling (p. (8 pp.). Faculty of Civil Engineering, University of Belgrade.
Modeling of facade leaching in urban catchments
Coutu, S., Del Giudice, D., Rossi, L., & Barry, D. A. (2012). Modeling of facade leaching in urban catchments. Water Resources Research, 48(12), 1-10. https://doi.org/10.1029/2012WR012359
Parsimonious hydrological modeling of urban sewer and river catchments
Coutu, S., Del Giudice, D., Rossi, L., & Barry, D. A. (2012). Parsimonious hydrological modeling of urban sewer and river catchments. Journal of Hydrology, 464-465, 477-484. https://doi.org/10.1016/j.jhydrol.2012.07.039
Modelling the behaviour of façade biocides in urban hydrological runoff
Del Giudice, D., Coutu, S., Rossi, L., & Barry, D. A. (2012). Modelling the behaviour of façade biocides in urban hydrological runoff. In D. Prodanović & J. Plavšić (Eds.), Urban drainage modelling. Proceedings of the ninth international conference on urban drainage modelling (p. (14 pp.). Faculty of Civil Engineering, University of Belgrade.
Dynamic time warping improves sewer flow monitoring
Dürrenmatt, D. J., Del Giudice, D., & Rieckermann, J. (2012). Dynamic time warping improves sewer flow monitoring. In D. Prodanović & J. Plavšić (Eds.), Urban drainage modelling. Proceedings of the ninth international conference on urban drainage modelling (p. (13 pp.). Faculty of Civil Engineering, University of Belgrade.