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Observing and modeling the effects of surface roughness on the albedo of Antarctic snow

Aku Riihelä, Antero Kukko, Paula Litkey, Aleksi Rimali, Matti Lehtomäki, Leena Leppänen

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

Antarctica plays a crucial role in Earth’s radiative energy balance, with the surface albedo of its snow cover being a key parameter. Snow albedo depends strongly on the optical properties of snow grains in the near-surface layers. Other factors including illumination geometry, cloud conditions and impurities influence albedo, though Antarctic snow is generally pristine. Surface roughness (SR), operating at multiple scales, also modulates albedo and directional reflectance but remains challenging to quantify. Advances in laser scanning have enabled high-resolution measurements over larger areas, opening new possibilities for modeling. While roughness–albedo relationships have been explored in alpine and boreal snow, Antarctic snow has not received equivalent attention. We conducted a field campaign in western Queen Maud Land during the austral summer of 2022–23, using unmanned aerial vehicle (UAV)-mounted laser scanning alongside in situ observations to investigate the impact of centimeter-scale SR on snow albedo. We observed SR with mean root-mean-square slopes in the range of 0.2–0.4 rad from the UAV, confirmed with near-surface laser scanning once scale variability was accounted for. The resulting albedo impact was in the range of 0.01–0.06 (mean of ∼0.03), in accordance with prior studies and exhibiting logical relationships with, e.g., local snowfall or high wind events.
Original languageEnglish
Article numbere52
Pages (from-to)1-16
Number of pages16
JournalJournal of Glaciology
Volume72
DOIs
Publication statusPublished - 7 May 2026
MoEC publication typeA1 Journal article-refereed

Keywords

  • antarctic zone
  • snow
  • albedo
  • lidar
  • surface phenomena
  • radiation
  • geometry
  • reflection
  • snow cover
  • Antarctic
  • lasers
  • modelling
  • reflectance

Field of science

  • Environmental sciences
  • Geosciences

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