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Multi-scale Hydrometeorological Observation and Modelling for Flash-flood Understanding : Volume 11, Issue 2 (11/02/2014)

By Braud, I.

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Book Id: WPLBN0004012012
Format Type: PDF Article :
File Size: Pages 75
Reproduction Date: 2015

Title: Multi-scale Hydrometeorological Observation and Modelling for Flash-flood Understanding : Volume 11, Issue 2 (11/02/2014)  
Author: Braud, I.
Volume: Vol. 11, Issue 2
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Branger, F., Ayral, P., Didon-Lescot, J., Coz, J. L., Bouvier, C., Anquetin, S.,...Domergue, J. (2014). Multi-scale Hydrometeorological Observation and Modelling for Flash-flood Understanding : Volume 11, Issue 2 (11/02/2014). Retrieved from

Description: Irstea, UR HHLY, Hydrology-Hydraulics, Villeurbanne, France. This paper presents a coupled observation and modelling strategy aiming at improving the understanding of processes triggering flash floods. This strategy is illustrated for the Mediterranean area using two French catchments (Gard and Ardèche) larger than 2000 km2. The approach is based on the monitoring of nested spatial scales: (1) the hillslope scale, where processes influencing the runoff generation and its concentration can be tackled; (2) the small to medium catchment scale (1–100 km2) where the impact of the network structure and of the spatial variability of rainfall, landscape and initial soil moisture can be quantified; (3) the larger scale (100–1000 km2) where the river routing and flooding processes become important. These observations are part of the HyMeX (Hydrological Cycle in the Mediterranean Experiment) Enhanced Observation Period (EOP) and lasts four years (2012–2015). In terms of hydrological modelling the objective is to set up models at the regional scale, while addressing small and generally ungauged catchments, which is the scale of interest for flooding risk assessment. Top-down and bottom-up approaches are combined and the models are used as hypothesis testing tools by coupling model development with data analyses, in order to incrementally evaluate the validity of model hypotheses. The paper first presents the rationale behind the experimental set up and the instrumentation itself. Second, we discuss the associated modelling strategy. Results illustrate the potential of the approach in advancing our understanding of flash flood processes at various scales.

Multi-scale hydrometeorological observation and modelling for flash-flood understanding

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