The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 11
Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-6301-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-6301-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
Research article
 | 
27 Nov 2025
Research article |  | 27 Nov 2025

Updated monthly and new daily bias correction for assimilation-based passive microwave SWE retrieval

Pinja Venäläinen, Colleen Mortimer, Kari Luojus, Lawrence Mudryk, Matias Takala, and Jouni Pulliainen

Viewed

Total article views: 4,289 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,365 701 223 4,289 200 274
  • HTML: 3,365
  • PDF: 701
  • XML: 223
  • Total: 4,289
  • BibTeX: 200
  • EndNote: 274
Views and downloads (calculated since 05 Feb 2025)
Cumulative views and downloads (calculated since 05 Feb 2025)

Viewed (geographical distribution)

Total article views: 4,289 (including HTML, PDF, and XML) Thereof 4,209 with geography defined and 80 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 04 Nov 2026
Download
Short summary
Satellite data-based estimation of large snow water equivalent (SWE) values can be improved with bias correction. This study updates the bias correction method by using updated snow course data, extending correction to two new months. Additionally, bias correction is expanded from a monthly to a daily time scale. The daily bias correction offers more accurate hemispheric snow mass estimation, aligning well with reanalysis data.
Read more
Share
Altmetrics
Final-revised paper
Preprint