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Effects of transition to water‐efficient solutions on existing centralized sewer systems - an integrated biophysical modelling approach
Penn, R., & Maurer, M. (2021). Effects of transition to water‐efficient solutions on existing centralized sewer systems - an integrated biophysical modelling approach. Water Resources Research, 57(9), e2020WR027616 (19 pp.). https://doi.org/10.1029/2020WR027616
Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent
Ramgraber, M., Weatherl, R., Blumensaat, F., & Schirmer, M. (2021). Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent. Water Resources Research, 57(4), e2020WR029339 (21 pp.). https://doi.org/10.1029/2020WR029339
A cellular automata fast flood evaluation (CA‐ffé) model
Jamali, B., Bach, P. M., Cunningham, L., & Deletic, A. (2019). A cellular automata fast flood evaluation (CA‐ffé) model. Water Resources Research, 55(6), 4936-4953. https://doi.org/10.1029/2018WR023679
Network topology and rainfall controls on the variability of combined sewer overflows and loads
McGrath, G., Kaeseberg, T., Reyes Silva, J. D., Jawitz, J. W., Blumensaat, F., Borchardt, D., … Rao, P. S. C. (2019). Network topology and rainfall controls on the variability of combined sewer overflows and loads. Water Resources Research, 55(11), 9578-9591. https://doi.org/10.1029/2019WR025336
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