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  • (-) Funding (EC, SNSF) = Using Commercial Microwave Links and Computer Model Emulation to Reduce Uncertainties in Urban Drainage Simulations (COMCORDE)
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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
Emulation of dynamic simulators with application to hydrology
Machac, D., Reichert, P., & Albert, C. (2016). Emulation of dynamic simulators with application to hydrology. Journal of Computational Physics, 313(May), 352-366. https://doi.org/10.1016/j.jcp.2016.02.046
Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator
Machac, D., Reichert, P., Rieckermann, J., & Albert, C. (2016). Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator. Environmental Modelling and Software, 78, 54-67. https://doi.org/10.1016/j.envsoft.2015.12.007
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
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
Quality control of rain gauge measurements using telecommunication microwave links
Bianchi, B., Rieckermann, J., & Berne, A. (2013). Quality control of rain gauge measurements using telecommunication microwave links. Journal of Hydrology, 492, 15-23. https://doi.org/10.1016/j.jhydrol.2013.03.042
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
Assessing the potential of using telecommunication microwave links in urban drainage modelling
Fencl, M., Rieckermann, J., Schleiss, M., Stránský, D., & Bareš, V. (2013). Assessing the potential of using telecommunication microwave links in urban drainage modelling. Water Science and Technology, 68(8), 1810-1818. https://doi.org/10.2166/wst.2013.429
Quantification and modeling of wet-antenna attenuation for commercial microwave links
Schleiss, M., Rieckermann, J., & Berne, A. (2013). Quantification and modeling of wet-antenna attenuation for commercial microwave links. IEEE Geoscience and Remote Sensing Letters, 10(5), 1195-1199. https://doi.org/10.1109/LGRS.2012.2236074