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| Titel |
Multi-scale hydrometeorological observation and modelling for flash flood understanding |
| VerfasserIn |
I. Braud, P.-A. Ayral, C. Bouvier, F. Branger, G. Delrieu, J. Coz, G. Nord, J.-P. Vandervaere, S. Anquetin, M. Adamovic, J. Andrieu, C. Batiot, B. Boudevillain, P. Brunet, J. Carreau, A. Confoland, J.-F. Didon-Lescot, J.-M. Domergue, J. Douvinet, G. Dramais, R. Freydier, S. Gérard, J. Huza, E. Leblois, O. Bourgeois, R. Boursicaud, P. Marchand, P. Martín, L. Nottale, N. Patris, B. Renard, J.-L. Seidel, J.-D. Taupin, O. Vannier, B. Vincendon, A. Wijbrans |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 9 ; Nr. 18, no. 9 (2014-09-26), S.3733-3761 |
| Datensatznummer |
250120477
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| Publikation (Nr.) |
 copernicus.org/hess-18-3733-2014.pdf |
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| Zusammenfassung |
| 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), which will last 4 years (2012–2015). In terms of hydrological
modelling, the objective is to set up regional-scale models, while addressing
small and generally ungauged catchments, which represent the scale of
interest for flood 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 on various
scales. |
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