Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5385-2017
https://doi.org/10.5194/hess-21-5385-2017
Research article
 | 
27 Oct 2017
Research article |  | 27 Oct 2017

Regional frequency analysis of extreme rainfall in Belgium based on radar estimates

Edouard Goudenhoofdt, Laurent Delobbe, and Patrick Willems

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Cited articles

Bardet, L., Duluc, C.-M., Rebour, V., and L'Her, J.: Regional frequency analysis of extreme storm surges along the French coast, Nat. Hazards Earth Syst. Sci., 11, 1627–1639, https://doi.org/10.5194/nhess-11-1627-2011, 2011.
Blanchet, J., Touati, J., Lawrence, D., Garavaglia, F., and Paquet, E.: Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway, Nat. Hazards Earth Syst. Sci., 15, 2653–2667, https://doi.org/10.5194/nhess-15-2653-2015, 2015.
Buishand, T.: Extreme rainfall estimation by combining data from several sites, Hydrolog. Sci. J., 36, 345–365, 1991.
Buishand, T. A., de Haan, L., and Zhou, C.: On spatial extremes: With application to a rainfall problem, Ann. Appl. Stat., 2, 624–642, https://doi.org/10.1214/08-AOAS159, 2008.
Castellarin, A.: Probabilistic envelope curves for design flood estimation at ungauged sites, Water Resour. Res., 43, W04406, https://doi.org/10.1029/2005WR004384, 2007.
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Short summary
Knowing the characteristics of extreme precipitation is useful for flood management applications like sewer system design. The potential of a 12-year high-quality weather radar precipitation dataset is investigated by comparison with rain gauges. Despite known limitations, a good agreement is found between the radar and the rain gauges. Using the radar data allow us to reduce the uncertainty of the extreme value analysis, especially for short duration extremes related to thunderstorms.
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