Articles | Volume 11, issue 6
https://doi.org/10.5194/tc-11-2611-2017
https://doi.org/10.5194/tc-11-2611-2017
Research article
 | 
17 Nov 2017
Research article |  | 17 Nov 2017

Quantifying bioalbedo: a new physically based model and discussion of empirical methods for characterising biological influence on ice and snow albedo

Joseph M. Cook, Andrew J. Hodson, Alex S. Gardner, Mark Flanner, Andrew J. Tedstone, Christopher Williamson, Tristram D. L. Irvine-Fynn, Johan Nilsson, Robert Bryant, and Martyn Tranter

Viewed

Total article views: 5,839 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,388 2,239 212 5,839 129 182
  • HTML: 3,388
  • PDF: 2,239
  • XML: 212
  • Total: 5,839
  • BibTeX: 129
  • EndNote: 182
Views and downloads (calculated since 26 Apr 2017)
Cumulative views and downloads (calculated since 26 Apr 2017)

Viewed (geographical distribution)

Total article views: 5,839 (including HTML, PDF, and XML) Thereof 5,518 with geography defined and 321 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 24 Dec 2024
Download
Short summary
Biological growth darkens snow and ice, causing it to melt faster. This is often referred to as bioalbedo. Quantifying bioalbedo has not been achieved because of difficulties in isolating the biological contribution from the optical properties of ice and snow, and from inorganic impurities in field studies. In this paper, we provide a physical model that enables bioalbedo to be quantified from first principles and we use it to guide future field studies.