title: Urban pluvial flood prediction: a case study evaluating radar rainfall nowcasts and numerical weather prediction models as model inputs.
abstract: Flooding produced by high-intensive local rainfall and drainage system capacity exceedance can have severe impacts in cities. In order to prepare cities for these types of flood events - especially in the future climate - it is valuable to be able to simulate these events numerically, both historically and in real-time. There is a rather untested potential in real-time prediction of urban floods. In this paper, radar data observations with different spatial and temporal resolution, radar nowcasts of 0-2 h leadtime, and numerical weather models with leadtimes up to 24 h are used as inputs to an integrated flood and drainage systems model in order to investigate the relative difference between different inputs in predicting future floods. The system is tested on the small town of Lystrup in Denmark, which was flooded in 2012 and 2014. Results show it is possible to generate detailed flood maps in real-time with high resolution radar rainfall data, but rather limited forecast performance in predicting floods with leadtimes more than half an hour.
authors.affiliation: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, Aalborg Ø 9200, Denmark E-mail: st@civil.aau.dk.
authors.forename: Søren
authors.initials: S
authors.lastname: Thorndahl
authors.affiliation: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, Aalborg Ø 9200, Denmark E-mail: st@civil.aau.dk.
authors.forename: Jesper Ellerbæk
authors.initials: JE
authors.lastname: Nielsen
authors.affiliation: Envidan, Vejlsøvej 23, Silkeborg 8600, Denmark.
authors.forename: David Getreuer
authors.initials: DG
authors.lastname: Jensen
mesh_terms: D002947:Cities; D003718:Denmark; D055868:Floods; D005544:Forecasting; D008962:Models, Theoretical; D011825:Radar; D011891:Rain