The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-3177-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-3177-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
Research article
 | 
22 Aug 2025
Research article |  | 22 Aug 2025

Influence of snow spatial variability on cosmic ray neutron snow water equivalent (SWE): case study in a northern prairie

Haejo Kim, Eric Sproles, and Samuel E. Tuttle

Viewed

Total article views: 6,334 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,575 1,501 258 6,334 253 345
  • HTML: 4,575
  • PDF: 1,501
  • XML: 258
  • Total: 6,334
  • BibTeX: 253
  • EndNote: 345
Views and downloads (calculated since 27 Jan 2025)
Cumulative views and downloads (calculated since 27 Jan 2025)

Viewed (geographical distribution)

Total article views: 6,334 (including HTML, PDF, and XML) Thereof 6,179 with geography defined and 155 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 01 Nov 2026
Download
Short summary
Monitoring of a shallow and highly variable snowpack's water content has been shown to be reliable with cosmic ray neutron sensing (CRNS). After hundreds of simulations, we show a CRNS instrument is best placed near areas of low snow accumulation that are near regions of high snow accumulation for an accurate estimate of the prairie snowpack's water content. The snow water equivalent from a CRNS was 2 to 5 times more likely to be representative of the prairie snow, compared to traditional snow monitoring methods.
Read more
Share
Altmetrics
Final-revised paper
Preprint