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Volume 21, issue 5
Hydrol. Earth Syst. Sci., 21, 2301–2320, 2017
https://doi.org/10.5194/hess-21-2301-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 2301–2320, 2017
https://doi.org/10.5194/hess-21-2301-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 May 2017

Research article | 03 May 2017

Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales

Gabriele Baroni et al.

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Aguilar, C., Herrero, J., and Polo, M. J.: Topographic effects on solar radiation distribution in mountainous watersheds and their influence on reference evapotranspiration estimates at watershed scale, Hydrol. Earth Syst. Sci., 14, 2479–2494, https://doi.org/10.5194/hess-14-2479-2010, 2010.
Ahmadi, M., Arabi, M., Ascough, J. C., Fontane, D. G., and Engel, B. A.: Toward improved calibration of watershed models: Multisite multiobjective measures of information, Environ. Model. Softw., 59, 135–145, https://doi.org/10.1016/j.envsoft.2014.05.012, 2014.
Altarejos-García, L., Martínez-Chenoll, M. L., Escuder-Bueno, I., and Serrano-Lombillo, A.: Assessing the impact of uncertainty on flood risk estimates with reliability analysis using 1-D and 2-D hydraulic models, Hydrol. Earth Syst. Sci., 16, 1895–1914, https://doi.org/10.5194/hess-16-1895-2012, 2012.
Anderson, R. M., Koren, V. I., and Reed, S. M.: Using SSURGO data to improve Sacramento Model a priori parameter estimates, J. Hydrol., 320, 103–116, https://doi.org/10.1016/j.jhydrol.2005.07.020, 2006.
Arnone, E., Dialynas, Y. G., Noto, L. V., and Bras, R. L.: Accounting for soil parameter uncertainty in a physically based and distributed approach for rainfall-triggered landslides, Hydrol. Process., 30, 927–944, https://doi.org/10.1002/hyp.10609, 2016.
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Three methods are used to characterize the uncertainty in soil properties. The effect on simulated states and fluxes is quantified using a distributed hydrological model. Different impacts are identified as function of the perturbation method, of the model outputs and of the spatio-temporal resolution. The study underlines the importance of a proper characterization of the uncertainty in soil properties for a correct assessment of their role and further improvements in the model application.
Three methods are used to characterize the uncertainty in soil properties. The effect on...
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