Articles | Volume 26, issue 7
Research article
11 Apr 2022
Research article |  | 11 Apr 2022

Assessing hydrological sensitivity of grassland basins in the Canadian Prairies to climate using a basin classification-based virtual modelling approach

Christopher Spence, Zhihua He, Kevin R. Shook, Balew A. Mekonnen, John W. Pomeroy, Colin J. Whitfield, and Jared D. Wolfe


Interactive discussion

Status: closed

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 | EF: Editorial file upload
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
AR by Christopher Spence on behalf of the Authors (09 Mar 2022)  Manuscript 
Short summary
We determined how snow and flow in small creeks change with temperature and precipitation in the Canadian Prairie, a region where water resources are often under stress. We tried something new. Every watershed in the region was placed in one of seven groups based on their landscape traits. We selected one of these groups and used its traits to build a model of snow and streamflow. It worked well, and by the 2040s there may be 20 %–40 % less snow and 30 % less streamflow than the 1980s.