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Sciences in Cold and Arid Regions ›› 2020, Vol. 12 ›› Issue (2): 83–94.doi: 10.3724/SP.J.1226.2020.00083.

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  • 收稿日期:2018-10-10 接受日期:2019-03-21 出版日期:2020-04-30 发布日期:2020-04-27

Quantitative estimation of the influence factors on snow/ice albedo

ZhongMing Guo1,2(),NingLian Wang1,2,BaoShou Shen1,2,ZhuJun Gu3,HongBo Wu4,YuWei Wu1,2,AnAn Chen1,2,Xi Jiang5   

  1. 1.Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, Shannxi 710127, China
    2.Institute of Earth Surface System and Hazards, College of Urban and Environmental Sciences, Northwest University, Xi'an, Shannxi 710127, China
    3.School of Environmental Science, Nanjing Xiaozhuang University, Nanjing, Jiangsu 211171, China
    4.School of History and Tourism, Shaanxi Sci-Tech University, Hanzhong, Shannxi 723000, China
    5.Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210000, China
  • Received:2018-10-10 Accepted:2019-03-21 Online:2020-04-30 Published:2020-04-27
  • Contact: ZhongMing Guo E-mail:gzm@nwu.edu.cn

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Abstract:

Quantitative estimation of the influence of various factors, such as black carbon, snow grain, dust content, and water content on albedo is essential in obtaining an accurate albedo. In this paper, field measurement data, including snow grain size, density, liquid water content, and snow depth was obtained. Black carbon and dust samples were collected from the snow surface. A simultaneous observation using ASD (Analytical Spectral Devices) spectral data was employed in the Qiyi glacier located on Qilian Mountain. The measurements were compared with results obtained from the Snow, Ice, and Aerosol Radiation (SNICAR) model. Additionally, a HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) air mass backward trajectory model was used to track the source of black carbon. The simulation was found to correlate well with observed data. Liquid water content was the most influential factor of albedo among the several influencing factors, followed by black carbon content and snow grain size. Finally, snow density change had the least toward albedo. HYSPLIT atmospheric trajectories model can only approximately show the source of black carbon and not clearly indicate the source region of black carbon.

Key words: albedo, black carbon, snow grain size, quantitative estimation

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IDRetrieval albedoCalculated albedoDifferenceErrorBC content (ng/g)
10.6050.6040.0010.166%275.57
20.5960.5780.0183.114%87.05
30.4440.474-0.030-6.329%202.62
40.4100.417-0.007-1.679%1,340.16
50.4590.485-0.026-5.361%789.25
60.4230.477-0.054-11.321%657.01
70.5480.5300.0183.396%948.15

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