Preprints
https://doi.org/10.5194/tc-2019-162
https://doi.org/10.5194/tc-2019-162
15 Aug 2019
 | 15 Aug 2019
Status: this preprint was under review for the journal TC but the revision was not accepted.

The measurement and impact of light absorbing particles on snow surfaces

Carl G. Schmitt, Bria L. Riggs, Ulyana N. Horodyskyj, Alia L. Khan, Holly A. Ewing, John D. All, and Wilmer Sanchez Rodriguez

Abstract. Light absorbing particles (LAPs) can have a significant impact on the albedo of snow. LAPs absorb solar radiation which warms surrounding snow thereby increasing melt or sublimation rates. Historically, LAP concentrations have been reported in terms of a mass mixing ratio, typically in nanograms of black carbon per gram of snow. While this representation is convenient for sampling, it can lead to deceptive results if there is significant surface accumulation of LAPs due to snow loss or dry deposition. Here we demonstrate that LAPs concentrated on the snow surface can substantially affect the albedo and typical sampling strategies and reporting protocols can lead to highly erroneous estimates of albedo.

Theoretical calculations and measurements both show that the reduction in albedo by LAPs can be twice as strong when particles are concentrated on the surface as opposed to being mixed within the top thin layer of snow. Current commonly used sampling strategies are not sufficient to determine the necessary information to assess the impact of surface LAPs on snowpack albedo.

To facilitate more accurate albedo estimates, we propose a new sampling strategy to better characterize LAP distribution in and on snowpacks. Theoretical calculations and experimental measurements show that snowpack albedo can be much better characterized when using the suggested sampling strategy to determine the distribution of LAPs present.

Carl G. Schmitt, Bria L. Riggs, Ulyana N. Horodyskyj, Alia L. Khan, Holly A. Ewing, John D. All, and Wilmer Sanchez Rodriguez
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Carl G. Schmitt, Bria L. Riggs, Ulyana N. Horodyskyj, Alia L. Khan, Holly A. Ewing, John D. All, and Wilmer Sanchez Rodriguez
Carl G. Schmitt, Bria L. Riggs, Ulyana N. Horodyskyj, Alia L. Khan, Holly A. Ewing, John D. All, and Wilmer Sanchez Rodriguez

Viewed

Total article views: 1,570 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,106 401 63 1,570 69 78
  • HTML: 1,106
  • PDF: 401
  • XML: 63
  • Total: 1,570
  • BibTeX: 69
  • EndNote: 78
Views and downloads (calculated since 15 Aug 2019)
Cumulative views and downloads (calculated since 15 Aug 2019)

Viewed (geographical distribution)

Total article views: 1,275 (including HTML, PDF, and XML) Thereof 1,275 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
Dirty snow melts faster than clean snow because the dark particles absorb light from the sun. Common techniques for measurements and analysis assume that the dirt particles are mixed in with the snow. Many processes lead to the dirt particles forming a layer on the surface of the snow rather than being mixed in. This publication demonstrates the importance of considering a surface layer and provides a new sampling protocol to enable the measurement of the surface layer.