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Optical determination of snow density via sub-surface scattering
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  • Published: 16 January 2026

Optical determination of snow density via sub-surface scattering

  • Lars Mewes  ORCID: orcid.org/0000-0001-9269-14751,
  • Henning Löwe1 na1,
  • Martin Schneebeli  ORCID: orcid.org/0000-0003-2872-44091 &
  • …
  • Benjamin Walter1 

Communications Physics , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Characterization and analytical techniques
  • Imaging and sensing
  • Imaging techniques

Abstract

The physical properties of snow, such as its stiffness, reflectivity, and thermal conductivity, are critical components in feedback processes of the Earth’s system and useful proxies for various applications in environmental science, ranging from avalanche forecasting to meteorology. It is therefore important to efficiently and accurately determine snow properties not only in the laboratory, but also during field campaigns. One promising approach is to measure the snow’s optical properties and deduce material properties via theory; from which physical properties can in turn be derived. Most notably, this applies to the determination of the snow’s specific surface area from total diffuse reflectance measurements. The retrieval of another important snow parameter, its mass density, from diffuse reflectance measurements has remained elusive. Here, we outline a theoretical description within the diffusion approximation of the radiative transfer theory to retrieve the density of dry snow from optical measurements via spatial truncation of the diffuse reflectance. Using our model, we determine snow density profiles from partial diffuse reflectance images given prior knowledge of the snow’s specific surface area. Beyond field measurements, our results are mappable to other applications relying on sub-surface light scattering, including remote sensing and biomedical applications.

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Data availability

The experimental data necessary to reproduce Fig. 5 are available at https://doi.org/10.16904/envidat.724.

Code availability

The source code to reproduce Figs. 2–5 is available at https://doi.org/10.16904/envidat.726.

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Acknowledgements

The authors acknowledge the support by Innosuisse under the project number 58741.1 IP-ENG, the Amt für Wirtschaft and Tourismus of the Swiss canton Graubünden, as well as the close technical collaboration with Davos Instruments AG.

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Author notes
  1. Deceased: Henning Löwe.

Authors and Affiliations

  1. WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland

    Lars Mewes, Henning Löwe, Martin Schneebeli & Benjamin Walter

Authors
  1. Lars Mewes
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Contributions

L.M. carried out the research, derived the mathematical expressions, and wrote the article. H.L. participated in all the initial devising of the study and production of the results. M.S. and B.W. devised the experimental concept, supervised the work, and contributed to the discussion of the results.

Corresponding author

Correspondence to Lars Mewes.

Ethics declarations

Competing interests

The idea leading to this paper has been accepted as a European patent (EP4212848—SNOW DENSITY MEASUREMENT INSTRUMENT, https://register.epo.org/application?number=EP22151594), co-invented by Benjamin Walter, Martin Schneebeli, Henning Löwe, and Lars Mewes. Applicant is the Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL (Zürcherstrasse 111, 8903 Birmensdorf, CH). All authors declare no financial or non-financial interests that could influence the research presented in this article.

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Communications Physics thanks Hans Moosmüller, Alexander Kokhanovsky and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Mewes, L., Löwe, H., Schneebeli, M. et al. Optical determination of snow density via sub-surface scattering. Commun Phys (2026). https://doi.org/10.1038/s42005-026-02490-1

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  • Received: 12 December 2024

  • Accepted: 02 January 2026

  • Published: 16 January 2026

  • DOI: https://doi.org/10.1038/s42005-026-02490-1

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