Articles | Volume 26, issue 7
© Author(s) 2022. This work is distributed underthe Creative Commons Attribution 4.0 License.
Assessing hydrological sensitivity of grassland basins in the Canadian Prairies to climate using a basin classification-based virtual modelling approach
- Final revised paper (published on 11 Apr 2022)
- Preprint (discussion started on 18 May 2021)
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor |
: Report abuse
RC1: 'Comment on hess-2021-186', Anonymous Referee #1, 21 Jun 2021
- AC1: 'Reply on RC1', Christopher Spence, 15 Oct 2021
RC2: 'Comment on hess-2021-186', Anonymous Referee #2, 22 Sep 2021
- AC2: 'Reply on RC2', Christopher Spence, 15 Oct 2021
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (30 Oct 2021) by Laurent Pfister
AR by Christopher Spence on behalf of the Authors (07 Dec 2021)  Author's response Author's tracked changes Manuscript
ED: Referee Nomination & Report Request started (02 Jan 2022) by Laurent Pfister
RR by Anonymous Referee #2 (31 Jan 2022)
RR by Anonymous Referee #1 (08 Feb 2022)
ED: Publish as is (06 Mar 2022) by Laurent Pfister
This study aims to demonstrate the utility of a hybrid classification and virtual modelling approach for assessing the sensitivity of a portion of Canadian Prairie catchments to climate. They first developed a class-based virtual basin model for a portion of the Canadian Prairie and then used the virtual basin to explore the sensitivity of hydrological response to climate.
I enjoyed reading this manuscript. Class-based virtual basin modeling approach is an innovative tool to roughly identify regional-scale landscape vulnerability. I find the manuscript provides some interesting material for readers of HESS. This seems an appropriate topic to further generalize and extrapolate basins hydrologic functions. However, I think this paper needs major revisions and clarification on the rational of the study, and manuscript presentation and methodology. After these issues are resolved, I believe this paper could be a nice addition to HESS.
As an example, in line 109-111 the objective of the paper was explained as: “This paper aims to demonstrate the utility of a basin classification–based virtual modelling approach for assessing the sensitivity of Canadian Prairie catchments to climate”. But they only explored one class out of 7 classes of catchments within Canadian PPR. I suggest that they explain only one class throughout the paper and focus the text to this class only.
Line 44: How long does it take to run one model. How long would it have taken to run a model for every catchment in the database or every catchment in the cluster? No talk of efficacy of virtual experiments in discussion, yet it seems like one of the central purposes of your paper in the introduction.
Line 139: Why would there be bias
Lines 209-210: Why is the maximum threshold less than minimum
Line 193: (Shook et al., 2013) lots of other places where comma is missing as well
Line 283: Why don’t you look at cluster center (compare median catchment with virtual model)
Line 434: To me advance in max snow depth date implies further in time, i.e., closer to summer. Rephrase.
Line 517: should it be “temperatures , but these patterns”?
Blöschl, G., M. Sivapalan, M. Wagener, A. Viglione, and H. Savenije (2014), Runoff Prediction in Ungauged Basins, Cambridge University Press.
Knoben, W. J. M., R. A. Woods, and J. E. Freer (2018), A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data, Water Resources Research, 54(7), 5088-5109.
Oudin, L., A. Kay, V. Andréassian, and C. Perrin (2010), Are seemingly physically similar catchments truly hydrologically similar?, Water Resources Research, 46(11).