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Conference paper

Comparison of radar and numerical weather model rainfall forecasts in the perspective of urban flood prediction

By Lovring, Maite Monica1; Löwe, Roland2,3; Courdent, Vianney Augustin Thomas2,3; Meneses, Elbys José4; Petersen, Steen O.4; Vedel, Henrik5; Petersen, H. M.6; Mikkelsen, Peter Steen2,3

From

Technical University of Denmark1

Department of Environmental Engineering, Technical University of Denmark2

Urban Water Systems, Department of Environmental Engineering, Technical University of Denmark3

Krüger Veolia Water Technologies4

Danish Meteorological Institute5

Biofos A/S6

An early flood warning system has been developed for urban catchments and is currently running in online operation in Copenhagen. The system is highly dependent on the quality of rainfall forecast inputs. An investigation of precipitation inputs from Radar Nowcast (RN), Numerical Weather Prediction (NWP) with assimilation of radar and cloud data (RA3), and Ensemble NWP with 25 members (S05) is conducted by comparing against rain gauge measurements and flood extent.

Despite lower spatial and temporal resolution, the ensemble product seems promising for forecasting extreme events. A combination of the three forecast products is expected to yield the optimal input for flood warning.

Language: English
Year: 2017
Proceedings: 14th IWA/IAHR International Conference on Urban Drainage 2017
Types: Conference paper
ORCIDs: Löwe, Roland , Courdent, Vianney Augustin Thomas and Mikkelsen, Peter Steen

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