SNICAR-ADv3: a community tool for modeling spectral snow albedo

Abstract ∼ 9 % –31 %, depending on which of the three available non-spherical shapes are applied. The model compares very well against measurements of snow albedo from seven studies, though key properties affecting snow albedo are not fully constrained with measurements, including ice effective grain size of the top sub-millimeter of the snowpack, mixing state of LACs with respect to ice grains, and site-specific LAC optical properties. The new default ice refractive indices produce extremely high pure snow albedo (> 0.99) in the blue and ultraviolet part of the spectrum, with such values only measured in Antarctica so far. More work is needed particularly in the representation of snow algae, including experimental verification of how different pigment expressions and algal cell concentrations affect snow albedo. Representations and measurements of the influence of liquid water on spectral snow albedo are also needed.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
SNICAR-ADv3: a community tool for modeling spectral snow albedo ; volume:14 ; number:12 ; year:2021 ; pages:7673-7704 ; extent:32
Geoscientific model development ; 14, Heft 12 (2021), 7673-7704 (gesamt 32)

Creator
Flanner, Mark G.
Arnheim, Julian B.
Cook, Joseph M.
Dang, Cheng
He, Cenlin
Huang, Xianglei
Singh, Deepak
Skiles, S. McKenzie
Whicker, Chloe A.
Zender, Charles S.

DOI
10.5194/gmd-14-7673-2021
URN
urn:nbn:de:101:1-2021122304185026710900
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:38 AM CEST

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Associated

  • Flanner, Mark G.
  • Arnheim, Julian B.
  • Cook, Joseph M.
  • Dang, Cheng
  • He, Cenlin
  • Huang, Xianglei
  • Singh, Deepak
  • Skiles, S. McKenzie
  • Whicker, Chloe A.
  • Zender, Charles S.

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