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| Titel |
When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events |
| VerfasserIn |
F. Lobligeois, V. Andréassian, C. Perrin, P. Tabary, C. Loumagne |
| 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. 2 ; Nr. 18, no. 2 (2014-02-17), S.575-594 |
| Datensatznummer |
250120278
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| Publikation (Nr.) |
 copernicus.org/hess-18-575-2014.pdf |
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| Zusammenfassung |
| Precipitation is the key factor controlling the high-frequency hydrological
response in catchments, and streamflow simulation is thus dependent on the
way rainfall is represented in a hydrological model. A characteristic that
distinguishes distributed from lumped models is the ability to explicitly
represent the spatial variability of precipitation. Although the literature
on this topic is abundant, the results are contrasting and sometimes
contradictory. This paper investigates the impact of spatial rainfall on
runoff generation to better understand the conditions where
higher-resolution rainfall information improves streamflow simulations. In
this study, we used the rainfall reanalysis developed by
Météo-France over the whole country of France at 1 km and
1 h resolution over a 10 yr period. A hydrological model was applied in
the lumped mode (a single spatial unit) and in the semidistributed mode
using three unit sizes of subcatchments. The model was evaluated against
observed streamflow data using split-sample tests on a large set of
French catchments (181) representing a variety of sizes and climate conditions. The
results were analyzed by catchment classes and types of rainfall events
based on the spatial variability of precipitation. The evaluation clearly
showed different behaviors. The lumped model performed as well as the
semidistributed model in western France, where catchments are under oceanic
climate conditions with quite spatially uniform precipitation fields. By
contrast, higher resolution in precipitation inputs significantly improved
the simulated streamflow dynamics and accuracy in southern France
(Cévennes and Mediterranean regions) for catchments in which
precipitation fields were identified to be highly variable in space. In all
regions, natural variability allows for contradictory examples to be found,
showing that analyzing a large number of events over varied catchments is warranted. |
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