Articles | Volume 16, issue 3
https://doi.org/10.5194/tc-16-1007-2022
https://doi.org/10.5194/tc-16-1007-2022
Research article
 | 
15 Mar 2022
Research article |  | 15 Mar 2022

Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014

Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä

Viewed

Total article views: 2,631 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,721 852 58 2,631 175 46 48
  • HTML: 1,721
  • PDF: 852
  • XML: 58
  • Total: 2,631
  • Supplement: 175
  • BibTeX: 46
  • EndNote: 48
Views and downloads (calculated since 14 Jul 2021)
Cumulative views and downloads (calculated since 14 Jul 2021)

Viewed (geographical distribution)

Total article views: 2,631 (including HTML, PDF, and XML) Thereof 2,536 with geography defined and 95 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
We analyze state-of-the-art climate models’ ability to describe snow mass and whether biases in modeled temperature or precipitation can explain the discrepancies in snow mass. In winter, biases in precipitation are the main factor affecting snow mass, while in spring, biases in temperature becomes more important, which is an expected result. However, temperature or precipitation cannot explain all snow mass discrepancies. Other factors, such as models’ structural errors, are also significant.