Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-787-2019
https://doi.org/10.5194/hess-23-787-2019
Research article
 | Highlight paper
 | 
13 Feb 2019
Research article | Highlight paper |  | 13 Feb 2019

A simple topography-driven and calibration-free runoff generation module

Hongkai Gao, Christian Birkel, Markus Hrachowitz, Doerthe Tetzlaff, Chris Soulsby, and Hubert H. G. Savenije

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (28 Jun 2018) by Fuqiang Tian
AR by Hongkai Gao on behalf of the Authors (02 Aug 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (21 Aug 2018) by Fuqiang Tian
RR by Anonymous Referee #3 (21 Aug 2018)
RR by Anonymous Referee #1 (04 Sep 2018)
RR by Anonymous Referee #2 (25 Sep 2018)
ED: Publish subject to revisions (further review by editor and referees) (13 Oct 2018) by Fuqiang Tian
AR by Hongkai Gao on behalf of the Authors (27 Nov 2018)
ED: Referee Nomination & Report Request started (08 Dec 2018) by Fuqiang Tian
RR by Anonymous Referee #3 (09 Dec 2018)
RR by Anonymous Referee #1 (18 Dec 2018)
ED: Publish subject to minor revisions (review by editor) (10 Jan 2019) by Fuqiang Tian
AR by Hongkai Gao on behalf of the Authors (18 Jan 2019)  Author's response   Manuscript 
ED: Publish as is (24 Jan 2019) by Fuqiang Tian
AR by Hongkai Gao on behalf of the Authors (30 Jan 2019)
Download
Short summary
Supported by large-sample ecological observations, a novel, simple and topography-driven runoff generation module (HSC-MCT) was created. The HSC-MCT is calibration-free, and therefore it can be used to predict in ungauged basins, and has great potential to be generalized at the global scale. Also, it allows us to reproduce the variation of saturation areas, which has great potential to be used for broader hydrological, ecological, climatological, and biogeochemical studies.