V
Vazken Andréassian
Researcher at Université Paris-Saclay
Publications - 161
Citations - 12678
Vazken Andréassian is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Streamflow & Hydrological modelling. The author has an hindex of 46, co-authored 142 publications receiving 10694 citations.
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Position paper: Characterising performance of environmental models
Neil D. Bennett,Barry Croke,Giorgio Guariso,Joseph H. A. Guillaume,Serena H. Hamilton,Anthony Jakeman,Stefano Marsili-Libelli,Lachlan Newham,John Norton,Charles Perrin,Suzanne A. Pierce,Barbara J. Robson,Ralf Seppelt,Alexey Voinov,Brian D. Fath,Vazken Andréassian +15 more
TL;DR: General classes of direct value comparison, coupling real and modelled values, preserving data patterns, indirect metrics based on parameter values, and data transformations are discussed.
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Improvement of a parsimonious model for streamflow simulation
TL;DR: The GR4J model as discussed by the authors is a daily lumped rainfall-runoff model which is the result of a continuous improvement process over the last 15 years, and it provides the mathematical formulation of a new four-parameter version of the model.
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Which potential evapotranspiration input for a lumped rainfall-runoff model?. Part 2: Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling
Ludovic Oudin,Frédéric Hervieu,Claude Michel,Charles Perrin,Vazken Andréassian,François Anctil,C. Loumagne +6 more
TL;DR: In this paper, the most relevant approach to calculate potential evapotranspiration (PE) for use in a daily rainfall-runoff model, while answering the following question: How can we use available atmospheric variables to represent the evaporative demand at the basin scale?
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Waters and forests: from historical controversy to scientific debate
TL;DR: In this article, the authors present an historical perspective of the controversy concerning the hydrological impact of forests, and show how a mostly romantic and emotional confrontation finally evolved into a scientific debate.
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Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments
TL;DR: In this article, the authors examine the role of complexity in hydrological models by studying the relation between the number of optimised parameters and model performance and conclude that an inadequate complexity typically results in model over-parameterization and parameter uncertainty.