Articles | Volume 12, issue 6
Research article
27 Jun 2018
Research article |  | 27 Jun 2018

Observations and modelling of algal growth on a snowpack in north-western Greenland

Yukihiko Onuma, Nozomu Takeuchi, Sota Tanaka, Naoko Nagatsuka, Masashi Niwano, and Teruo Aoki


Total article views: 3,155 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,087 967 101 3,155 45 64
  • HTML: 2,087
  • PDF: 967
  • XML: 101
  • Total: 3,155
  • BibTeX: 45
  • EndNote: 64
Views and downloads (calculated since 29 Nov 2017)
Cumulative views and downloads (calculated since 29 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,155 (including HTML, PDF, and XML) Thereof 2,884 with geography defined and 271 with unknown origin.
Country # Views %
  • 1


Discussed (final revised paper)

Discussed (final revised paper)

Latest update: 09 Dec 2023
Short summary
Snow algal bloom can substantially increase melt rates of the snow due to the effect of albedo reduction on the snow surface. In this study, the temporal changes in algal abundance on the snowpacks of Greenland Glacier were studied in order to reproduce snow algal growth using a numerical model. Our study demonstrates that a simple numerical model could simulate the temporal variation in snow algal abundance on the glacier throughout the summer season.