Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7527-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-14-7527-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
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: 3,954 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,077 811 66 3,954 188 36 27
  • HTML: 3,077
  • PDF: 811
  • XML: 66
  • Total: 3,954
  • Supplement: 188
  • BibTeX: 36
  • EndNote: 27
Views and downloads (calculated since 23 Aug 2021)
Cumulative views and downloads (calculated since 23 Aug 2021)

Viewed (geographical distribution)

Total article views: 3,954 (including HTML, PDF, and XML) Thereof 3,645 with geography defined and 309 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Apr 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.
Read more
Special issue
Modelling inland waters in a changing climate (GMD/ESD/TC...