Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4565-2018
https://doi.org/10.5194/hess-22-4565-2018
Research article
 | 
29 Aug 2018
Research article |  | 29 Aug 2018

Incremental model breakdown to assess the multi-hypotheses problem

Florian U. Jehn, Lutz Breuer, Tobias Houska, Konrad Bestian, and Philipp Kraft

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Cited articles

Ambroise, B.: Variable “active” versus “contributing” areas or periods: a necessary distinction, Hydrol. Process., 18, 1149–1155, https://doi.org/10.1002/hyp.5536, 2004. 
Bai, Y., Wagener, T., and Reed, P.: A top-down framework for watershed model evaluation and selection under uncertainty, Environ. Modell. Softw., 24, 901–916, https://doi.org/10.1016/j.envsoft.2008.12.012, 2009. 
Bergström, S.: Principles and Confidence in Hydrological Modelling, Hydrol. Res., 22, 123–136, https://doi.org/10.2166/nh.1991.0009, 1991. 
Bergström, S. and Graham, L. P.: On the scale problem in hydrological modelling, J. Hydrol., 211, 253–265, https://doi.org/10.1016/S0022-1694(98)00248-0, 1998. 
Beven, K.: Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process, Hydrol. Earth Syst. Sci., 11, 460–467, https://doi.org/10.5194/hess-11-460-2007, 2007. 
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Short summary
By realizing that hydrological models are not one single hypothesis, but an assemblage of many hypotheses, new ways to scrutinize hydrological models are needed. Up until now, studies concentrate on comparing existing models or built models incrementally. This approach here tries to tackle the problem the other way around. We construct a complex model, containing all processes important for the catchment, and deconstruct it step by step to understand the influence of single processes.
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