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  • (-) Organizational Unit = Urban Water Management SWW
  • (-) Publication Year = 2006 - 2018
  • (-) Eawag Authors = Del Giudice, Dario
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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). 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). Dübendorf: 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