Articles | Volume 9, issue 6
Geosci. Model Dev., 9, 2167–2189, 2016
https://doi.org/10.5194/gmd-9-2167-2016
Geosci. Model Dev., 9, 2167–2189, 2016
https://doi.org/10.5194/gmd-9-2167-2016

Model experiment description paper 15 Jun 2016

Model experiment description paper | 15 Jun 2016

Determining lake surface water temperatures worldwide using a tuned one-dimensional lake model (FLake, v1)

Aisling Layden et al.

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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
AR by Aisling Layden on behalf of the Authors (03 Jan 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 Jan 2016) by Simon Unterstrasser
RR by Anonymous Referee #1 (01 Mar 2016)
ED: Reconsider after major revisions (01 Mar 2016) by Simon Unterstrasser
AR by Anna Mirena Feist-Polner on behalf of the Authors (12 Apr 2016)  Author's response
ED: Publish subject to minor revisions (Editor review) (26 Apr 2016) by Simon Unterstrasser
AR by Aisling Layden on behalf of the Authors (04 May 2016)  Author's response    Manuscript
ED: Publish as is (06 May 2016) by Simon Unterstrasser
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Short summary
With the availability of lake surface water temperature (LSWT) satellite data for 246 globally distributed large lakes, we tune a lake model, FLake, by varying 3 basic lake properties, shown to have the most influence over the modelled LSWTs. Tuning reduces the mean absolute difference (between model and satellite LSWTs) from an average of 3.38 ºC per day (untuned model) to 0.85 ºC per day (tuned model). The effect of several LSWT drivers, such as wind speed and lake depth are also demonstrated.