Articles | Volume 15, issue 2
https://doi.org/10.5194/tc-15-771-2021
https://doi.org/10.5194/tc-15-771-2021
Research article
 | 
17 Feb 2021
Research article |  | 17 Feb 2021

Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, and Shugong Wang

Viewed

Total article views: 3,179 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,192 925 62 3,179 300 59 60
  • HTML: 2,192
  • PDF: 925
  • XML: 62
  • Total: 3,179
  • Supplement: 300
  • BibTeX: 59
  • EndNote: 60
Views and downloads (calculated since 15 Sep 2020)
Cumulative views and downloads (calculated since 15 Sep 2020)

Viewed (geographical distribution)

Total article views: 3,179 (including HTML, PDF, and XML) Thereof 3,079 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Jun 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for high-resolution snow observations in these regions. Substantial uncertainty in snow water storage in Tundra regions and the dominance of water storage in these regions points to the need for high-accuracy snow estimation. Finally, snow measurements during the melt season are most needed at high latitudes, whereas observations at near peak snow accumulations are most beneficial over the midlatitudes.