| Quantitative estimation of the influence factors on snow/ice albedo |
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| 作者姓名： | ZhongMing Guo NingLian Wang BaoShou Shen ZhuJun Gu HongBo Wu YuWei Wu AnAn Chen Xi Jiang |
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| 作者单位： | Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity;Institute of Earth Surface System and Hazards;School of Environmental Science;School of History and Tourism;Key Laboratory of Meteorological Disaster of Ministry of Education |
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| 基金项目： | provided by the National Natural Science Foundation of China(Grant Nos.41501069,41571415);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant Nos.XDA20060201,XDA19070302);Science&Technology Basic Resource Investigation Program of China(Grant No.2017YFC0404302). |
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| 摘 要： | Quantitative estimation of the influence of various factors,such as black carbon,snow grain,dust content,and water con tent 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 fac tors,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.
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| 关 键 词： | ALBEDO BLACK carbon SNOW GRAIN size QUANTITATIVE estimation |
Quantitative estimation of the influence factors on snow/ice albedo |
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| ZhongMing Guo,NingLian Wang,BaoShou Shen,ZhuJun Gu,HongBo Wu,YuWei Wu,AnAn Chen,Xi Jiang.Quantitative estimation of the influence factors on snow/ice albedo[J].Sciences in Cold and Arid Regions,2020(2):83-94. |
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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. |
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