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  • (-) Organizational Unit = Urban Water Management SWW
  • (-) Publication Year = 2006 - 2018
  • (-) Journal = Water Resources Research
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Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging
Cecinati, F., Wani, O., & Rico-Ramirez, M. A. (2017). Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging. Water Resources Research, 53(11), 8999-9018. https://doi.org/10.1002/2016WR020330
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
Bayesian experimental design of tracer studies to monitor wastewater leakage from sewer networks
Rieckermann, J., Borsuk, M. E., Sydler, D., Gujer, W., & Reichert, P. (2010). Bayesian experimental design of tracer studies to monitor wastewater leakage from sewer networks. Water Resources Research, 46(8), 1-14. https://doi.org/10.1029/2009WR008630