Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-393-2017
https://doi.org/10.5194/hess-21-393-2017
Research article
 | 
24 Jan 2017
Research article |  | 24 Jan 2017

Improvement of hydrological model calibration by selecting multiple parameter ranges

Qiaofeng Wu, Shuguang Liu, Yi Cai, Xinjian Li, and Yangming Jiang

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 (29 Aug 2016) by Giuliano Di Baldassarre
AR by YI CAI on behalf of the Authors (06 Sep 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Sep 2016) by Giuliano Di Baldassarre
RR by Anonymous Referee #2 (22 Oct 2016)
RR by Anonymous Referee #1 (30 Nov 2016)
ED: Publish subject to minor revisions (further review by Editor) (01 Dec 2016) by Giuliano Di Baldassarre
AR by YI CAI on behalf of the Authors (10 Dec 2016)  Author's response    Manuscript
ED: Publish as is (14 Dec 2016) by Giuliano Di Baldassarre
Download
Short summary
We proposed a method to calibrate hydrological models by selecting parameter range. The results show the probability distribution can be used to determine the optimal range of a single parameter. Analysis of parameter sensitivity and correlation is helpful to obtain the optimal combination of multi-parameter ranges which contributes to a higher and more concentrated value of the objective function. The findings can provide references for enhancing the precision of hydrological process modelling.