Articles | Volume 21, issue 3
https://doi.org/10.5194/hess-21-1827-2017
https://doi.org/10.5194/hess-21-1827-2017
Research article
 | 
29 Mar 2017
Research article |  | 29 Mar 2017

Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada

Siraj Ul Islam and Stephen J. Déry

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: Publish subject to revisions (further review by Editor and Referees) (08 Dec 2016) by Marc Bierkens
AR by Stephen Déry on behalf of the Authors (12 Jan 2017)  Manuscript 
ED: Referee Nomination & Report Request started (20 Jan 2017) by Marc Bierkens
RR by Anonymous Referee #2 (21 Feb 2017)
ED: Publish subject to minor revisions (further review by Editor) (01 Mar 2017) by Marc Bierkens
AR by Stephen Déry on behalf of the Authors (07 Mar 2017)  Author's response   Manuscript 
ED: Publish as is (08 Mar 2017) by Marc Bierkens
AR by Stephen Déry on behalf of the Authors (08 Mar 2017)
Download
Short summary
This study focuses on predictive uncertainties in the snow hydrology of British Columbia's Fraser River Basin (FRB), using the Variable Infiltration Capacity (VIC) model forced with several gridded climate datasets. Intercomparisons of forcing datasets and VIC simulations are performed to identify their strengths and weaknesses. This reveals widespread differences over FRB's mountains in precipitation and air temperature forcing datasets and their VIC simulations of runoff/snow water equivalent.