The HOOPLA toolbox: a HydrOlOgical Prediction LAboratory to explore ensemble rainfall-runoff modeling
Antoine Thiboult1,Gregory Seiller2,a,Carine Poncelet3,a,and François Anctil1Antoine Thiboult et al. Antoine Thiboult1,Gregory Seiller2,a,Carine Poncelet3,a,and François Anctil1
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
1Dept. of Civil and Water Engineering, Université Laval, Québec, Canada
2DHI, Nantes, France
3Crédit Agricole Sud Rhône Alpes, Grenoble, France
Received: 07 Jan 2020 – Accepted for review: 24 Jan 2020 – Discussion started: 28 Jan 2020
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.
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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