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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 2
Hydrol. Earth Syst. Sci., 18, 463–477, 2014
https://doi.org/10.5194/hess-18-463-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Predictions under change: water, earth, and biota in the anthropocene...

Hydrol. Earth Syst. Sci., 18, 463–477, 2014
https://doi.org/10.5194/hess-18-463-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Opinion article 06 Feb 2014

Opinion article | 06 Feb 2014

Large-sample hydrology: a need to balance depth with breadth

H. V. Gupta et al.

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Cited articles

Abdulla, F. A., and Lettenmaier, D. P.: Development of regional parameter estimation equations for a macroscale hydrologic model, J. Hydrol., 197, 230–257, 1997.
Andréassian, V., Hall, A., Chahinian, N., and Schaake, J.: Introduction and Synthesis: Why should hydrologists work on a large number of basin data sets?, in: IAHS Publication no. 307, Large sample basin experiments for hydrological model parameterization: Results of the Model Parameter Experiment – MOPEX, Paris, 1–5, 2006.
Andréassian, V., Lerat, J., Loumagne, C., Mathevet, T., Michel, C., Oudin, L., and Perrin, C.: What is really undermining hydrologic science today?, Hydrol. Process., 21, 2819–2822, https://doi.org/10.1002/hyp.6854, 2007.
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, https://doi.org/10.5194/hess-13-1757-2009, 2009.
Andréassian, V., Perrin, C., Parent, E., and Bardossy, A.: Editorial – The Court of Miracles of Hydrology: can failure stories contribute to hydrological science?, Hydrolog. Sci. J., 55, 849–856, https://doi.org/10.1080/02626667.2010.506050, 2010.
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