Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7527-2021
https://doi.org/10.5194/gmd-14-7527-2021
Model description paper
 | Highlight paper
 | 
08 Dec 2021
Model description paper | Highlight paper |  | 08 Dec 2021

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

Marco Toffolon, Luca Cortese, and Damien Bouffard

Viewed

Total article views: 4,059 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,152 827 80 4,059 200 53 41
  • HTML: 3,152
  • PDF: 827
  • XML: 80
  • Total: 4,059
  • Supplement: 200
  • BibTeX: 53
  • EndNote: 41
Views and downloads (calculated since 23 Aug 2021)
Cumulative views and downloads (calculated since 23 Aug 2021)

Viewed (geographical distribution)

Total article views: 4,059 (including HTML, PDF, and XML) Thereof 3,758 with geography defined and 301 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
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.