DOI: 10.5194/tc-14-2087-2020
论文题名: Physically based model of the contribution of red snow algal cells to temporal changes in albedo in northwest Greenland
作者: Onuma Y. ; Takeuchi N. ; Tanaka S. ; Nagatsuka N. ; Niwano M. ; Aoki T.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期: 6 起始页码: 2087
结束页码: 2101
语种: 英语
英文关键词: albedo
; grain size
; ice alga
; microbial activity
; radiative forcing
; red alga
; temporal variation
; Arctic
; Greenland
; algae
英文摘要: 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 (1/4108 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 -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. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164551
Appears in Collections: 气候变化与战略
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作者单位: Institute of Industrial Science, University of Tokyo, Chiba, 277-8574, Japan; Graduate School of Science, Chiba University, Chiba, 263-8522, Japan; National Institute of Polar Research, Tokyo, 190-8518, Japan; Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Recommended Citation:
Onuma Y.,Takeuchi N.,Tanaka S.,et al. Physically based model of the contribution of red snow algal cells to temporal changes in albedo in northwest Greenland[J]. Cryosphere,2020-01-01,14(6)