Articles | Volume 20, issue 3
Hydrol. Earth Syst. Sci., 20, 1069–1079, 2016
https://doi.org/10.5194/hess-20-1069-2016

Special issue: HESS Opinions 2016

Hydrol. Earth Syst. Sci., 20, 1069–1079, 2016
https://doi.org/10.5194/hess-20-1069-2016

Opinion article 09 Mar 2016

Opinion article | 09 Mar 2016

HESS Opinions: The need for process-based evaluation of large-domain hyper-resolution models

Lieke A. Melsen et al.

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Cited articles

Anderson, M. and Burt, T.: Process Studies in Hillslope Hydrology, chap. Subsurface runoff, 365–400, Wiley, 1990.
Arora, V., Chiew, F., and Grayson, R.: Effect of sub-grid-scale variability of soil moisture and precipitation intensity on surface runoff and streamflow, J. Geophys. Res., 106, 17073–17091, https://doi.org/10.1029/2001JD900037, 2001.
Bastiaanssen, W., Allen, R., Droogers, P., D'Urso, G., and Steduto, P.: Twenty-five years modeling irrigated and drained soils: State of the art, Agr. Water Manage., 92, 111–125, https://doi.org/10.1016/j.agwat.2007.05.013, 2007.
Beven, K.: Linking parameters across scales: subgrid parameterizations and scale dependent hydrological models, Hydrol. Process., 9, 507–525, https://doi.org/10.1002/hyp.3360090504, 1995.
Beven, K.: Searching for the Holy Grail of scientific hydrology: Qt = (S, R, Δt)A as closure, Hydrol. Earth Syst. Sci., 10, 609–618, https://doi.org/10.5194/hess-10-609-2006, 2006.
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A meta-analysis on 192 peer-reviewed articles reporting applications of a land surface model in a distributed way reveals that the spatial resolution at which the model is applied has increased over the years, while the calibration and validation time interval has remained unchanged. We argue that the calibration and validation time interval should keep pace with the increase in spatial resolution in order to resolve the processes that are relevant at the applied spatial resolution.