Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7527–7543, 2021
https://doi.org/10.5194/gmd-14-7527-2021

Special issue: Modelling inland waters in a changing climate (GMD/ESD/TC...

Geosci. Model Dev., 14, 7527–7543, 2021
https://doi.org/10.5194/gmd-14-7527-2021

Model description paper 08 Dec 2021

Model description paper | 08 Dec 2021

SELF v1.0: a minimal physical model for predicting time of freeze-up in lakes

Marco Toffolon et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-234', Anonymous Referee #1, 18 Sep 2021
    • AC1: 'Reply on RC1', Marco Toffolon, 16 Oct 2021
  • RC2: 'Comment on gmd-2021-234', Anonymous Referee #2, 30 Sep 2021
    • AC2: 'Reply on RC2', Marco Toffolon, 16 Oct 2021
  • EC1: 'Invitation to proceed with response and revisions', Andrew Wickert, 01 Oct 2021
    • AC3: 'Reply on EC1', Marco Toffolon, 16 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marco Toffolon on behalf of the Authors (22 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (27 Oct 2021) by Andrew Wickert
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Short summary
The time when lakes freeze varies considerably from year to year. A common way to predict it is to use negative degree days, i.e., the sum of air temperatures below 0 °C, a proxy for the heat lost to the atmosphere. Here, we show that this is insufficient as the mixing of the surface layer induced by wind tends to delay the formation of ice. To do so, we developed a minimal model based on a simplified energy balance, which can be used both for large-scale analyses and short-term predictions.