Articles | Volume 373
Proc. IAHS, 373, 87–94, 2016
https://doi.org/10.5194/piahs-373-87-2016
Proc. IAHS, 373, 87–94, 2016
https://doi.org/10.5194/piahs-373-87-2016
 
12 May 2016
12 May 2016

Spatial variability of the parameters of a semi-distributed hydrological model

Alban de Lavenne et al.

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Cited articles

Andersen, J., Refsgaard, J. C., and Jensen, K. H.: Distributed hydrological modelling of the Senegal River Basin – model construction and validation, J. Hydrol., 247, 200–214, https://doi.org/10.1016/S0022-1694(01)00384-5, 2001.
Andréassian, V., Parent, E., and Michel, C.: A distribution-free test to detect gradual changes in watershed behavior, Water Resour. Res., 39, 1252, https://doi.org/10.1029/2003WR002081, 2003.
Bentura, P. L. and Michel, C.: Flood routing in a wide channel with a quadratic lag-and-route method, Hydrolog. Sci. J., 42, 169–189, https://doi.org/10.1080/02626669709492018, 1997.
Brigode, P., Oudin, L., and Perrin, C.: Hydrological model parameter instability: A source of additional uncertainty in estimating the hydrological impacts of climate change?, J. Hydrol., 476, 410–425, https://doi.org/10.1016/j.jhydrol.2012.11.012, 2013.
Brown, A. E., Zhang, L., McMahon, T. A., Western, A. W., and Vertessy, R. A.: A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation, J. Hydrol., 310, 28–61, https://doi.org/10.1016/j.jhydrol.2004.12.010, 2005.
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Short summary
Developing modelling tools that help to understand the spatial distribution of water resources is a key issue for better management. Ideally, hydrological models which discretise catchment space into sub-catchments should offer better streamflow simulations than lumped models, along with spatially-relevant water resources management solutions. However we demonstrate that those model raise other issues related to the calibration strategy and to the identifiability of the parameters.