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

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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.
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