Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4727-2017
https://doi.org/10.5194/hess-21-4727-2017
Research article
 | 
21 Sep 2017
Research article |  | 21 Sep 2017

Can spatial statistical river temperature models be transferred between catchments?

Faye L. Jackson, Robert J. Fryer, David M. Hannah, and Iain A. Malcolm

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (18 Apr 2017) by Markus Hrachowitz
AR by Faye Jackson on behalf of the Authors (09 Jun 2017)  Author's response    Manuscript
ED: Publish subject to revisions (further review by Editor and Referees) (14 Jun 2017) by Markus Hrachowitz
ED: Referee Nomination & Report Request started (13 Jul 2017) by Markus Hrachowitz
RR by Anonymous Referee #4 (07 Aug 2017)
RR by Anonymous Referee #2 (07 Aug 2017)
ED: Publish subject to minor revisions (further review by Editor) (15 Aug 2017) by Markus Hrachowitz
AR by Faye Jackson on behalf of the Authors (18 Aug 2017)  Author's response    Manuscript
ED: Publish as is (21 Aug 2017) by Markus Hrachowitz
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Short summary
River temperature (Tw) is important to fish populations, but one cannot monitor everywhere. Thus, models are used to predict Tw, sometimes in rivers with no data. To date, the accuracy of these predictions has not been determined. We found that models including landscape predictors (e.g. altitude, tree cover) could describe spatial patterns in Tw in other rivers better than those including air temperature. Such findings are critical for developing Tw models that have management application.