Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6345-2017
https://doi.org/10.5194/hess-21-6345-2017
Research article
 | 
14 Dec 2017
Research article |  | 14 Dec 2017

Parameter sensitivity analysis of a 1-D cold region lake model for land-surface schemes

José-Luis Guerrero, Patricia Pernica, Howard Wheater, Murray Mackay, and Chris Spence

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) (20 Apr 2017) by Dimitri Solomatine
AR by José-Luis Guerrero Calidonio on behalf of the Authors (01 Jun 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (16 Jun 2017) by Dimitri Solomatine
RR by Anonymous Referee #1 (09 Jul 2017)
RR by Anonymous Referee #2 (03 Oct 2017)
ED: Publish subject to minor revisions (further review by Editor) (06 Oct 2017) by Dimitri Solomatine
AR by José-Luis Guerrero Calidonio on behalf of the Authors (16 Oct 2017)  Author's response   Manuscript 
ED: Publish as is (17 Oct 2017) by Dimitri Solomatine
AR by José-Luis Guerrero Calidonio on behalf of the Authors (25 Oct 2017)
Download
Short summary
Lakes are sentinels of climate change, and an adequate characterization of their feedbacks to the atmosphere could improve climate modeling. These feedbacks, as heat fluxes, can be simulated but are seldom measured, casting doubt on modeling results. Measurements from a small lake in Canada established that the model parameter modulating how much light penetrates the lake dominates model response. This parameter is measurable: improved monitoring could lead to more robust modeling.