Articles | Volume 13, issue 9
Earth Syst. Sci. Data, 13, 4331–4348, 2021
https://doi.org/10.5194/essd-13-4331-2021
Earth Syst. Sci. Data, 13, 4331–4348, 2021
https://doi.org/10.5194/essd-13-4331-2021
Data description paper
07 Sep 2021
Data description paper | 07 Sep 2021

Meteorological, snow and soil data (2013–2019) from a herb tundra permafrost site at Bylot Island, Canadian high Arctic, for driving and testing snow and land surface models

Florent Domine et al.

Viewed

Total article views: 1,436 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
953 450 33 1,436 119 16 30
  • HTML: 953
  • PDF: 450
  • XML: 33
  • Total: 1,436
  • Supplement: 119
  • BibTeX: 16
  • EndNote: 30
Views and downloads (calculated since 01 Apr 2021)
Cumulative views and downloads (calculated since 01 Apr 2021)

Viewed (geographical distribution)

Total article views: 1,299 (including HTML, PDF, and XML) Thereof 1,299 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Jun 2022
Short summary
Current sophisticated snow physics models were mostly designed for alpine conditions and cannot adequately simulate the physical properties of Arctic snowpacks. New snow models will require Arctic data sets for forcing and validation. We provide an extensive driving and testing data set from a high Arctic herb tundra site in Canada. Unique validating data include continuous time series of snow and soil thermal conductivity and temperature profiles. Field observations in spring are provided.