Articles | Volume 18, issue 7
https://doi.org/10.5194/nhess-18-1849-2018
https://doi.org/10.5194/nhess-18-1849-2018
Research article
 | 
05 Jul 2018
Research article |  | 05 Jul 2018

Intensity–duration–frequency (IDF) rainfall curves in Senegal

Youssouph Sane, Geremy Panthou, Ansoumana Bodian, Theo Vischel, Thierry Lebel, Honore Dacosta, Guillaume Quantin, Catherine Wilcox, Ousmane Ndiaye, Aida Diongue-Niang, and Mariane Diop Kane

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Cited articles

Agbazo, M., Koto N'Gobi, G., Kounouhewa, B., Alamou, E., Afouda, A., and Akpo, A.: Estimation of IDF Curves of Extreme Rainfall by Simple Scaling in Northern Oueme Valley, Benin Republic (West Africa), Earth Sci. Res. J., 20, 1–7, 2016. a, b, c, d
Bara, M., Kohnová, S., Gaál, L., Szolgay, J., and Hlavcová, K.: Estimation of IDF curves of extreme rainfall by simple scaling in Slovakia, Contributions to Geophysics and Geodesy, 39, 187–206, 2009. a
Begueria, S. and Vicente-Serrano, S. M.: Mapping the hazard of extreme rainfall by peaks over threshold extreme value analysis and spatial regression techniques, J. Appl. Meteorol. Clim., 45, 108–124, 2006. a
Blanchet, J., Marty, C., and Lehning, M.: Extreme value statistics of snowfall in the Swiss Alpine region, Water Resour. Res., 45, W05424, https://doi.org/10.1029/2009WR007916, 2009. a
Blanchet, J., Ceresetti, D., Molinié, G., and Creutin, J.-D.: A regional GEV scale-invariant framework for Intensity–Duration–Frequency analysis, J. Hydrol., 540, 82–95, 2016. a, b, c
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Short summary
Urbanization, resulting from a sharply increasing demographic pressure and the development of infrastructure, has made the population of many tropical areas more vulnerable to extreme rainfall hazards. Characterizing extreme rainfall distribution is thus becoming an overarching need in hydrological applications. Using 14 tipping-bucket rain-gauge series, this study provides IDF curves and uncertainties over Senegal. Climate change requires warning end-users that they should be used with care.
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