Fabrizio Fenicia

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Clark, Martyn P.; Kavetski, Dmitri; Fenicia, Fabrizio Reply to comment by K. Beven et al. on "Pursuing the method of multiple working hypotheses for hydrological modelling" Water Resources Research, 2012; 48(11):W11802 ©2012. American Geophysical Union. All Rights Reserved. The electronic version of this article is the complete one and can be found online(More)
Although catchment behaviour during recession periods is better identifiable than in other periods, the representation of hydrograph recession is often weak in hydrological simulations. Among the various aspects that influence model performance during low flows, in this paper we concentrate on those more inherently related to the modelling, such as the(More)
Conceptual hydrologic models are useful tools as they provide an interpretable representation of the hydrologic behaviour of a catchment. Their representation of catchment’s hydrological processes and physical characteristics, however, implies simplification of the complexity and heterogeneity of reality. As a result, those models often 5 show a lack of(More)
[1] Conceptual rainfall‐runoff models have traditionally been applied without payingmuch attention to numerical errors induced by temporal integration of water balance dynamics. Reliance on first‐order, explicit, fixed‐step integration methods leads to computationally cheap simulation models that are easy to implement. Computational speed is especially(More)
[1] A conceptual hydrological model structure contains several parameters that have to be estimated through matching observed and modeled watershed behavior in a calibration process. The requirement that a model simulation matches different aspects of system response at the same time has led the calibration problem toward a multiobjective approach. In this(More)
Conceptual environmental system models, such as rainfall runoff models, generally rely on calibration for parameter identification. Increasing complexity of this type of models for better representation of hydrological process heterogeneity, typically makes parameter identification more difficult. Although various, potentially valuable, approaches for(More)
Models with a fixed structure are widely used in hydrological studies and operational applications. For various reasons, these models do not always perform well. As an alternative, flexible modelling approaches allow the identification and refinement of the model structure as part of the modelling process. In this study, twelve different conceptual model(More)
Laurent Pfister,1* Jeffrey J. McDonnell,2 Sebastian Wrede,1,3 Daša Hlúbiková,1 Patrick Matgen,1 Fabrizio Fenicia,1 Luc Ector1 and Lucien Hoffmann1 1 Centre de Recherche Public—Gabriel Lippmann, Department Environment and Agro-Biotechnologies, L-4422 Belvaux, Grand-Duchy of Luxembourg 2 Oregon State University, Department of Forest Engineering, 015 Peavy(More)
Is the groundwater reservoir linear? Learning from data in hydrological modelling F. Fenicia, H. H. G. Savenije, P. Matgen, and L. Pfister Public Research Center – Gabriel Lippmann, 41 rue du Brill, 4422 Luxembourg Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The(More)
The objective of this paper is to investigate the time variability of catchment characteristics in the Meuse basin through its effect on catchment response. The approach uses a conceptual model to represent rainfall-runoff behaviour of this catchment, and evaluates possible timedependence of model parameters. The main hypothesis is that conceptual model(More)