Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-2913-2025
https://doi.org/10.5194/tc-19-2913-2025
Research article
 | 
06 Aug 2025
Research article |  | 06 Aug 2025

Evaluating sensitivity of optical snow grain size retrievals to radiative transfer models, shape parameters, and inversion techniques

James W. Dillon, Christopher P. Donahue, Evan N. Schehrer, and Kevin D. Hammonds

Viewed

Total article views: 547 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
357 159 31 547 17 26
  • HTML: 357
  • PDF: 159
  • XML: 31
  • Total: 547
  • BibTeX: 17
  • EndNote: 26
Views and downloads (calculated since 07 Nov 2024)
Cumulative views and downloads (calculated since 07 Nov 2024)

Viewed (geographical distribution)

Total article views: 547 (including HTML, PDF, and XML) Thereof 539 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Aug 2025
Download
Short summary
The optical grain size of snow controls albedo, playing a key role in Earth's energy balance. This parameter varies substantially in time and space; thus, accurate estimates are vital. Reflectance measurements can be used to map grain size, although results differ considerably, depending on the algorithm and model used during retrieval. We perform a novel laboratory comparison to determine the optimal model, shape parameters, and retrieval algorithm for accurately estimating grain size.
Share