Articles | Volume 20, issue 5
https://doi.org/10.5194/hess-20-1809-2016
© 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-20-1809-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Accounting for three sources of uncertainty in ensemble hydrological forecasting
Antoine Thiboult
CORRESPONDING AUTHOR
Dept. of Civil and Water Engineering, Université Laval, 1065 avenue de la Médecine, Québec, Canada
François Anctil
Dept. of Civil and Water Engineering, Université Laval, 1065 avenue de la Médecine, Québec, Canada
Marie-Amélie Boucher
Dept. of Applied Sciences, Université du Québec à Chicoutimi, 555, boulevard de l'Université, Chicoutimi, Canada
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Short summary
Issuing a good hydrological forecast is challenging because of the numerous sources of uncertainty that lay in the description of the hydrometeorological processes. Several modeling techniques are investigated in this paper to assess how they contribute to the forecast quality. It is shown that the best modeling approach uses several dissimilar techniques that each tackle one source of uncertainty.
Issuing a good hydrological forecast is challenging because of the numerous sources of...