Uncertainty analysis; Microwave attenuation; Urban Drainage; Remote sensing; Statistical system emulators; Model structure deficits
Del Giudice Dario, Albert Carlo, Rieckermann Jörg, Reichert Peter (2016), Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation, in
Water Resources Research, 52(4), 3162-3186.
Machac David, Reichert Peter, Albert Carlo (2016), Emulation of dynamic simulators with application to hydrology, in
Journal of Computational Physics, 313, 352-366.
Machac David, Reichert Peter, Rieckermann Jörg, Albert Carlo (2016), Fast {Mechanism}-based {Emulator} of a {Slow} {Urban} {Hydrodynamic} {Drainage} {Simulator}, in
Environ. Model. Softw., 78(C), 54-67.
Del Giudice Dario, Löwe Roland, Madsen Henrik, Mikkelsen Peter Steen, Rieckermann Jörg (2015), Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors, in
Water Resources Research, 51(7), 5004-5022.
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}, in
Environ. Model. Softw., 64(C), 205-214.
Sikorska A.E., Del Giudice D., Banasik K., Rieckermann J. (2015), The value of streamflow data in improving TSS predictions – Bayesian multi-objective calibration, in
Journal of Hydrology, 530, 241-254.
Engineers design and operate combined or separate sewer systems to provide sanitation and flood protection for our cities. However, the stress to receiving waters and the risk of urban flooding is expected to be even more pronounced in the future, because of emerging toxic contaminants and because of climate change, which will probably increase volumes and variability of rainfall. The aim of the SNF-sponsored COMCORDE project (CR22I2_135551) is to investigate whether better information on urban rainfall and better modeling capabilities can help improve flood protection for our cities and reduce environmental pollution. In the present proposal, we apply for a supplementary grant for a 1-year prolongation of COMCORDE, which has been delayed for unforeseen reasons.To reach the original goal of our project, we will i) investigate the data quality of microwave link (MWL) rainfall estimates and use the collected data to identify important influential variables, such as antenna wetting or signal quantization, ii) investigate how to separate uncertainty in input data, e.g. assimilated rainfall fields, from model structure deficits, iii) assess the gain of information of using MWLs in the calibration of urban drainage models, and iv) develop fast probabilistic forecasts of rainfall-runoff in sewers using the developed mechanistic emulator.In the future, such efficient emulators, together with improved rainfall information based on MWLs, will allow for a better operation of urban drainage systems, for example through Real-Time Control or integrated modelling of sewers, treatment plant and receiving waters. Accurate rainfall data with a spatial resolution of a few hundred square meters and in time steps of few seconds or minutes will advance not only urban hydrology, but will allow for completely new types of analyses in a variety of fields such as meteorology, hydrology, diffuse pollution and insurances.