Articles | Volume 21, issue 9
Research article
01 Sep 2017
Research article |  | 01 Sep 2017

Toward seamless hydrologic predictions across spatial scales

Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach-Sagi, and Sabine Attinger


Interactive discussion

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: Reconsider after major revisions (further review by Editor and Referees) (10 May 2017) by Murugesu Sivapalan
AR by Luis Samaniego on behalf of the Authors (16 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Jun 2017) by Murugesu Sivapalan
RR by Anonymous Referee #3 (26 Jun 2017)
RR by Anonymous Referee #1 (17 Jul 2017)
ED: Publish subject to minor revisions (further review by Editor) (25 Jul 2017) by Murugesu Sivapalan
AR by Luis Samaniego on behalf of the Authors (02 Aug 2017)  Author's response    Manuscript
ED: Publish as is (04 Aug 2017) by Murugesu Sivapalan
Short summary
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.