Articles | Volume 26, issue 22
Research article
24 Nov 2022
Research article |  | 24 Nov 2022

All models are wrong, but are they useful? Assessing reliability across multiple sites to build trust in urban drainage modelling

Agnethe Nedergaard Pedersen, Annette Brink-Kjær, and Peter Steen Mikkelsen

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Cited articles

Annus, I., Vassiljev, A., Kändler, N., and Kaur, K.: Automatic calibration module for an urban drainage system model, Water, 13, 1419,, 2021. 
Awol, F. S., Coulibaly, P., and Tolson, B. A.: Event-based model calibration approaches for selecting representative distributed parameters in semi-urban watersheds, Adv. Water Resour., 118, 12–27,, 2018. 
Bach, P. M., Rauch, W., Mikkelsen, P. S., McCarthy, D. T., and Deletic, A.: A critical review of integrated urban water modelling – Urban drainage and beyond, Environ. Modell. Softw., 54, 88–107,, 2014. 
Beven, K. and Binley, A.: The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298,, 1992. 
Short summary
A framework for assessing the reliability of urban drainage models is developed in this paper. The method applies observation data from water level sensors and model results for up to 10 years of data for 23 sites in two case areas in Odense, Denmark. With the use of signatures as a method to extract information from the time series, it is possible to differentiate the performance for different model objectives.