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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
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  • CiteScore value: 4.94 CiteScore
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  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
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Volume 20, issue 3
Hydrol. Earth Syst. Sci., 20, 1069–1079, 2016
https://doi.org/10.5194/hess-20-1069-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: HESS Opinions

Hydrol. Earth Syst. Sci., 20, 1069–1079, 2016
https://doi.org/10.5194/hess-20-1069-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (17 Feb 2016) by Erwin Zehe
AR by Lieke Melsen on behalf of the Authors (24 Feb 2016)  Author's response    Manuscript
ED: Publish as is (26 Feb 2016) by Erwin Zehe
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Short summary
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.
A meta-analysis on 192 peer-reviewed articles reporting applications of a land surface model in...
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