Physically based model of the contribution of red snow algal cells to temporal changes in albedo in northwest Greenland
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Published:2020-06-29
Issue:6
Volume:14
Page:2087-2101
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Onuma Yukihiko, Takeuchi NozomuORCID, Tanaka Sota, Nagatsuka Naoko, Niwano MasashiORCID, Aoki TeruoORCID
Abstract
Abstract. Surface albedo of snow and ice is substantially reduced
by inorganic impurities, such as aeolian mineral dust (MD) and black carbon
(BC), and also by organic impurities, such as microbes that live in the
snow. In this paper, we present the temporal changes of surface albedo, snow
grain size, MD, BC and snow algal cell concentration observed on a snowpack
in northwest Greenland during the ablation season of 2014 and our attempt to
reproduce the changes in albedo with a physically based snow albedo model.
We also attempt to reproduce the effects of inorganic impurities and the red
snow algae (Sanguina nivaloides) on albedo. Concentrations of MD and red snow algae in the
surface snow were found to increase in early August, while snow grain size
and BC were found to not significantly change throughout the ablation
season. Surface albedo was found to have decreased by 0.08 from late July to
early August. The albedo simulated by the model agreed with the albedo
observed during the study period. However, red snow algae exerted little
effect on surface albedo in early August. This is probably owing to the
abundance of smaller cells (4.9×104 cells L−1) when
compared with the cell abundance of red snow reported by previous studies in the
Arctic region (∼108 cells L−1). The simulation of
snow albedo until the end of the melting season, with a snow algae model,
revealed that the reduction in albedo attributed to red snow algae could
equal 0.004, out of a total reduction of 0.102 arising from the three
impurities on a snowpack in northwest Greenland. Finally, we conducted
scenario simulations using the snow albedo model, coupled with the snow
algae model, in order to simulate the possible effects of red snow blooming
on snow albedo under warm conditions in northwest Greenland. The result
suggests that albedo reduction by red snow algal growth under warm
conditions (surface snow temperature of +1.5 ∘C) reached 0.04,
equivalent to a radiative forcing of 7.5 W m−2 during the ablation
season of 2014. This coupled albedo model has the potential to dynamically
simulate snow albedo, including the effect of organic and inorganic
impurities, leading to proper estimates of the surface albedo of snow cover
in Greenland.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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