Articles | Volume 20, issue 1
https://doi.org/10.5194/hess-20-505-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-505-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jan 2016
Research article |
| 29 Jan 2016
Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in Belgium
L. Foresti
CORRESPONDING AUTHOR
Royal Meteorological Institute of Belgium, Brussels,
Belgium
M. Reyniers
Royal Meteorological Institute of Belgium, Brussels,
Belgium
A. Seed
Bureau of Meteorology, Melbourne, Australia
L. Delobbe
Royal Meteorological Institute of Belgium, Brussels,
Belgium
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- A tolerant hydrologic technique for real-time selection of optimum QPFs from NWPMs for flood warning applications M. Salah et al. 10.2166/wst.2024.046
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Saved (preprint)
Latest update: 23 Nov 2024
Short summary
The Short-Term Ensemble Prediction System (STEPS) is implemented in real time at the Royal Meteorological Institute of Belgium (STEPS-BE). The idea behind STEPS is to quantify the forecast uncertainty by adding stochastic perturbations to the deterministic extrapolation of radar images. In this paper we present the deterministic, probabilistic and ensemble verification of STEPS-BE forecasts using four precipitation cases that caused sewer system overflow in the cities of Leuven and Ghent.
The Short-Term Ensemble Prediction System (STEPS) is implemented in real time at the Royal...
