Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2377-2018
https://doi.org/10.5194/hess-22-2377-2018
Research article
 | 
20 Apr 2018
Research article |  | 20 Apr 2018

Analytical flow duration curves for summer streamflow in Switzerland

Ana Clara Santos, Maria Manuela Portela, Andrea Rinaldo, and Bettina Schaefli

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Cited articles

Addor, N. and Fischer, E. M.: The influence of natural variability and interpolation errors on bias characterization in RCM simulations, J. Geophys. Res.-Atmos., 120, 10180–10195, https://doi.org/10.1002/2014JD022824, 2015. a
Aschwanden, A.: Caractéristiques physiographiques des bassins de recherches hydrologiques en Suisse, Berne, Service hydrologique et géologique national, Communications hydrologiques, 23, 1996. a
Basso, S., Schirmer, M., and Botter, G.: On the emergence of heavy-tailed streamflow distributions, Adv. Water Res., 82, 98–105, https://doi.org/10.1016/j.advwatres.2015.04.013, 2015. a, b, c, d, e, f, g, h, i
Bernet, D. B., Prasuhn, V., and Weingartner, R.: Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time, Nat. Hazards Earth Syst. Sci., 17, 1659–1682, https://doi.org/10.5194/nhess-17-1659-2017, 2017. a
Biswal, B. and Marani, M.: Geomorphological origin of recession curves, Geophys. Res. Lett., 37, 24, https://doi.org/10.1029/2010gl045415, 2010. a
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Short summary
This paper assesses the performance of an analytical modeling framework for probability distributions for summer streamflow of 25 Swiss catchments that present a wide range of hydroclimatic regimes, including snow- and icemelt-influenced streamflows. Two versions of the model were tested: linear and nonlinear. The results show that the model performs well for summer discharges under all analyzed regimes and that model performance varies with mean catchment elevation.
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