Articles | Volume 12, issue 8
Geosci. Model Dev., 12, 3707–3723, 2019

Special issue: Modelling lakes in the climate system (GMD/HESS inter-journal...

Geosci. Model Dev., 12, 3707–3723, 2019

Model evaluation paper 23 Aug 2019

Model evaluation paper | 23 Aug 2019

Validation of lake surface state in the HIRLAM v.7.4 numerical weather prediction model against in situ measurements in Finland

Laura Rontu et al.


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
AR by Anna Wenzel on behalf of the Authors (22 Feb 2019)  Author's response
ED: Reconsider after major revisions (22 Feb 2019) by Jason Williams
ED: Referee Nomination & Report Request started (22 Mar 2019) by Jason Williams
RR by Anonymous Referee #2 (07 Apr 2019)
RR by Anonymous Referee #4 (11 Jun 2019)
AR by Svenja Lange on behalf of the Authors (20 May 2019)  Author's response
ED: Publish subject to minor revisions (review by editor) (27 Jun 2019) by Jason Williams
AR by Laura Rontu on behalf of the Authors (05 Jul 2019)  Author's response    Manuscript
ED: Publish as is (16 Jul 2019) by Jason Williams
Short summary
Numerical weather prediction model HIRLAM includes prognostic treatment of lake surface state since 2012. Forecast is based on the Freshwater Lake model (Flake). We compared the predicted lake water temperature, freeze-up and break-up dates as well as the ice thickness and snow depth during six years over 45 lakes in Finland against observations by Finnish Environment Institute. Water surface temperatures and freezing of lakes were well predicted but the ice tended to melt too early in spring.