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When Does Higher Spatial Resolution Rainfall Information Improve Streamflow Simulation? an Evaluation on 3620 Flood Events : Volume 10, Issue 10 (16/10/2013)

By Lobligeois, F.

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Book Id: WPLBN0004011543
Format Type: PDF Article :
File Size: Pages 52
Reproduction Date: 2015

Title: When Does Higher Spatial Resolution Rainfall Information Improve Streamflow Simulation? an Evaluation on 3620 Flood Events : Volume 10, Issue 10 (16/10/2013)  
Author: Lobligeois, F.
Volume: Vol. 10, Issue 10
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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Perrin, C., Tabary, P., Andréassian, V., Lobligeois, F., & Loumagne, C. (2013). When Does Higher Spatial Resolution Rainfall Information Improve Streamflow Simulation? an Evaluation on 3620 Flood Events : Volume 10, Issue 10 (16/10/2013). Retrieved from

Description: Irstea, Hydrosystems and Bioprocesses Research Unit, Antony, France. 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 the 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 contrasted 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 French territory 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 semi-distributed mode using three unit sizes of sub-catchments. The model was evaluated against observed streamflow data using split-sample tests on a large set of 181 French catchments representing a variety of size 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 semi-distributed model in western France where catchments are under oceanic climate conditions with quite spatially uniform precipitation fields. In 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.

When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation on 3620 flood events

Andréassian, V., Oddos, A., Michel, C., Anctil, F., Perrin, C., and Loumagne, C.: Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall-runoff models: a theoretical study using chimera watersheds, Water Resour. Res., 40, 1–9, doi:10.1029/2003WR002854, 2004.; Andréassian, V., Perrin, C., Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Ramos, M.-H., and Valéry, A.: HESS Opinions Crash tests for a standardized evaluation of hydrological models, Hydrol. Earth Syst. Sci., 13, 1757–1764, doi:10.5194/hess-13-1757-2009, 2009.; Apip, Sayama, T., Tachikawa, Y., and Takara, K.: Spatial lumping of a distributed rainfall-sediment-runoff model and its effective lumping scale, Hydrol. Process., 26, 855–871, doi:10.1002/hyp.8300, 2012.; Arnaud, P., Bouvier, C., Cisneros, L., and Dominguez, R.: Influence of rainfall spatial variability on flood prediction, J. Hydrol., 260, 216–230, doi:10.1016/S0022-1694(01)00611-4, 2002.; Arnaud, P., Lavabre, J., Fouchier, C., Diss, S., and Javelle, P.: Sensitivity of hydrological models to uncertainty in rainfall input, Hydrolog. Sci. J., 56, 397–410, doi:10.1080/02626667.2011.563742, 2011.; Bárdossy, A. and Das, T.: Influence of rainfall observation network on model calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89, doi:10.5194/hess-12-77-2008, 2008.; Bell, V. A. and Moore, R. J.: The sensitivity of catchment runoff models to rainfall data at different spatial scales, Hydrol. Earth Syst. Sci., 4, 653–667, doi:10.5194/hess-4-653-2000, 2000.; Bentura, P. and Michel, C.: Flood routing in a wide channel with a quadratic lag-and-route method, Hydrolog. Sci. J., 42, 169–189, doi:10.1080/02626669709492018, 1997.; Ajami, N. K., Gupta, H. V., Wagener, T., and Sorooshian, S.: Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system, J. Hydrol., 298, 112–135, doi:10.1016/j.jhydrol.2004.03.033, 2004.; Andréassian, V., Perrin, C., Michel, C., Usartsanchez, I., and Lavabre, J.: Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models, J. Hydrol., 250, 206–223, doi:10.1016/S0022-1694(01)00437-1, 2001.; Berne, A., Delrieu, G., Creutin, J. D., and Obled, C.: Temporal and spatial resolution of rainfall measurements required for urban hydrology, J. Hydrol., 299, 166–179, doi:10.1016/j.jhydrol.2004.08.002, 2004.; Berne, A., Delrieu, G., and Boudevillain, B.: Variability of the spatial structure of intense Mediterranean precipitation, Adv. Water Resour., 32, 1031–1042, doi:10.1016/j.advwatres.2008.11.008, 2009.; Beven, K.: Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. Water Resour., 16, 41–51, doi:10.1016/0309-1708(93)90028-E, 1993.; Beven, K.: The limits of splitting: hydrology, Sci. Total. Environ., 183, 89–97, doi:10.1016/0048-9697(95)04964-9, 1996.; Beven, K.: How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1–12,


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