| 北极夏季海冰反照率的观测和数值模拟试验 |
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| 引用本文： | 杨清华,程斌,雷瑞波,王先桥,杨宇,张占海.北极夏季海冰反照率的观测和数值模拟试验[J].海洋学报,2011,33(2):42-47. |
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| 作者姓名： | 杨清华 程斌 雷瑞波 王先桥 杨宇 张占海 |
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| 作者单位： | 1.国家海洋环境预报中心 国家海洋局海洋灾害预报技术研究重点实验室,北京100081 |
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| 基金项目： | 国家自然科学基金项目(40930848,41006115);欧盟项目(DAMOCLES);挪威科学委员会资助项目(AMORA);国际极地年中国行动计划项目;国家海洋局极地考察办公室对外合作项目(IC2010014);中国极地科学战略研究基金(20080215)。 |
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| 摘 要： | 在中国第3次北极科学考察浮冰站开展了积雪/海冰反照率观测.本文对观测结果进行了分析,并结合一维高分辨雪/冰模式(HIGHTSI)对3个常用的反照率参数化方案在天气尺度的表现进行了评估.观测期间测站反照率变化范围0.75～0.85,其天气尺度变化同天气和表面冰、雪状况紧密相关,降雪和吹雪过程可改变表面积雪厚度及水平分布,...
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| 关 键 词： | 北极 海冰 反照率 观测 数值模拟 |
| 收稿时间： | 2010/8/20 0:00:00 |
Arctic sea ice albedo in summer: observation and modelling experiments |
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| YANG Qing-hu,CHENG Bin,LEI Rui-bo,WANG Xian-qiao,Yang Yu and ZHANG Zhan-hai.Arctic sea ice albedo in summer: observation and modelling experiments[J].Acta Oceanologica Sinica (in Chinese),2011,33(2):42-47. |
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| Authors: | YANG Qing-hu CHENG Bin LEI Rui-bo WANG Xian-qiao Yang Yu and ZHANG Zhan-hai |
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| Institution: | 1.Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China2.Finnish Meteorological Institute, Helsinki, Finland3.Polar Research Institute of China, Shanghai 200136, China4.State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China |
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| Abstract: | The surface albedo was observed at the Ice Camp during the Chinese National Arctic Research Expedition (CHINARE) at the end of melting season in 2008. The in situ data were investigated in this paper. Several albedo parameterizations were incorporated into a one-dimensional high-resolution thermodynamic snow/ice model (HIGHTSI) to simulate local surface albedo. The observed albedo varies between 0.75~0.85 during the observation period with a slightly decreasing trend, the local change of albedo was strongly linked with snowfall/sleet and snow drift events. The trend of observed surface albedo can be captured by an albedo scheme taken snow and ice thicknesses into account. Albedo schemes with the current complexity, however, are difficult to reconstruct the short-term variability. |
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| Keywords: | Arctic sea ice albedo observation modelling |
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