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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/hess-2020-6
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-6
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: technical note 28 Jan 2020

Submitted as: technical note | 28 Jan 2020

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This preprint is currently under review for the journal HESS.

The HOOPLA toolbox: a HydrOlOgical Prediction LAboratory to explore ensemble rainfall-runoff modeling

Antoine Thiboult1, Gregory Seiller2,a, Carine Poncelet3,a, and François Anctil1 Antoine Thiboult et al.
  • 1Dept. of Civil and Water Engineering, Université Laval, Québec, Canada
  • 2DHI, Nantes, France
  • 3Crédit Agricole Sud Rhône Alpes, Grenoble, France
  • aformerly at: Université Laval, Québec, Canada

Abstract. This technical report introduces the HydrOlOgical Prediction LAboratory (HOOPLA) developed at Université Lavalfor ensemble lumped hydrological modelling. HOOPLA includes functionalities to perform calibration, simulation, and forecast for multiple hydrological models and various time steps. It includes a range of hydrometeorological tools such as calibration algorithms, data assimilation techniques, potential evapotranspiration formulas and a snow accounting routine. HOOPLA is a flexible framework coded in MATLAB that allows easy integration of user-defined hydrometeorological tools. This report also illustrates HOOPLA's functionalities using a set of 31 Canadian catchments.

Antoine Thiboult et al.

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Antoine Thiboult et al.

Model code and software

HOOPLA A. Thiboult, G. Seiller, and F. Anctil https://doi.org/10.5281/zenodo.2653969

Antoine Thiboult et al.

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Latest update: 18 Feb 2020
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Short summary
HOOPLA, the HydrOlOgical Prediction LAboratory, is a toolbox that converts precipitation into river runoff. It relies on numerical models to compute snow accumulation and melting, water loss to the atmosphere, and the main on-land water cycle processes. HOOPLA includes several techniques to handle forecast uncertainty. In particular, it adopts a probabilistic approach to describe the model structure, the initial condition, and the meteorological uncertainties.
HOOPLA, the HydrOlOgical Prediction LAboratory, is a toolbox that converts precipitation into...
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