个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:港口、海岸及近海工程
办公地点:海岸和近海工程国家重点实验室A410办公室
联系方式:0411-84708520
电子邮箱:lupeng@dlut.edu.cn
Melt pond distribution and geometry in high Arctic sea ice derived from aerial investigations
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论文类型:期刊论文
发表时间:2016-09-01
发表刊物:ANNALS OF GLACIOLOGY
收录刊物:SCIE、Scopus
卷号:57
期号:73
页面范围:105-118
ISSN号:0260-3055
关键字:aerial photography; geometry; high Arctic Ocean; melt pond; sea ice
摘要:Aerial photography was conducted in the high Arctic Ocean during a Chinese research expedition in summer 2010. By partitioning the images into three distinct surface categories (sea ice/snow, water and melt ponds), the areal fraction of each category, ice concentration and the size and geometry of individual melt ponds, are determined with high-spatial resolution. The ice concentration and melt pond coverage have large spatial deviations between flights and even between images from the marginal ice zone to the pack ice zone in the central Arctic. Ice concentration and pond coverage over high Arctic (from 84 degrees N to north) was similar to 75% and similar to 6.8%, respectively, providing 'ground truth' for the unusual transpolar reduction strip of ice indicated concurrently by AMSR-E data and for the regions (north of 88 degrees N) where no passive microwave sensors can cover. Melt pond size and shape distributions are examined in terms of pond area (S), perimeter (P), mean caliper dimension (MCD) (L), roundness (R), convex degree (C), the ratio of P/S and fractal dimension (D). Power-law relationships are developed between pond size and number. Some general trends in geometric metrics are identified as a function of pond area including R, C, P/S and D. The scale separation of pond complexity is demonstrated by analyzing area-perimeter data. The results will potentially help the modelling of melt pond evolution and the determination of heterogeneity of under-ice transmitted light fields.