Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4323–4346, 2017
https://doi.org/10.5194/hess-21-4323-2017

Special issue: Observations and modeling of land surface water and energy...

Hydrol. Earth Syst. Sci., 21, 4323–4346, 2017
https://doi.org/10.5194/hess-21-4323-2017

Research article 01 Sep 2017

Research article | 01 Sep 2017

Toward seamless hydrologic predictions across spatial scales

Luis Samaniego et al.

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Cited articles

Abdulla, F. and Lettenmaier, D.: Development of regional parameter estimation equations for a macroscale hydrologic model, J. Hydrol., 197, 230–257, 1997.
Addor, N., Rössler, O., Köplin, N., Huss, M., Weingartner, R., and Seibert, J.: Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments, Water Resour. Res., 50, 7541–7562, 2014.
Andréassian, V., Bourgin, F., Oudin, L., Mathevet, T., Perrin, C., Lerat, J., Coron, L., and Berthet, L.: Seeking genericity in the selection of parameter sets: Impact on hydrological model efficiency, Water Resour. Res., 50, 8356–8366, 2014.
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions, in: Progress in Photosynthesis Research, Springer, the Netherlands, Dordrecht, 221–224, 1987.
Barrios, M. and Francés, F.: Spatial scale effect on the upper soil effective parameters of a distributed hydrological model, Hydrol. Process., 26, 1022–1033, 2011.
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We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.