The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/tc-19-4875-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-4875-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Research article
 | 
22 Oct 2025
Research article |  | 22 Oct 2025

How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates

Filippo Emilio Scarsi, Alessandro Battaglia, Maximilian Maahn, and Stef Lhermitte

Viewed

Total article views: 2,436 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,009 321 106 2,436 85 103
  • HTML: 2,009
  • PDF: 321
  • XML: 106
  • Total: 2,436
  • BibTeX: 85
  • EndNote: 103
Views and downloads (calculated since 09 Sep 2024)
Cumulative views and downloads (calculated since 09 Sep 2024)

Viewed (geographical distribution)

Total article views: 2,436 (including HTML, PDF, and XML) Thereof 2,344 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Apr 2026
Download
Short summary
Snowfall measurements at high latitudes are crucial for estimating ice sheet mass balance. Spaceborne radar and radiometer missions help estimate snowfall but face uncertainties. This work evaluates uncertainties in snowfall estimates from a fixed near-nadir radar (CloudSat-like) and a conically scanning radar (WIVERN-like), showing that a WIVERN-like radar will provide better estimates than a CloudSat-like radar at smaller spatial and temporal scales.
Read more
Share