Melt pond distribution and geometry in high Arctic sea ice derived from aerial investigations
Melt pond distribution and geometry in high Arctic sea ice derived from aerial investigations
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空中调查得出的北极高海冰融化池分布和几何形状
DOI：
10.1017/aog.2016.30
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发表时间：
2016-09
影响因子：
2.9
通讯作者：
Z. LI
中科院分区：
文献类型：
--
作者：
W. HUANG;P. LU;R. LEI;H. XIE;Z. LI
摘要 2010 年夏天，中国科考期间在北冰洋高海拔地区进行了航空摄影。通过将图像分为三个不同的表面类别（海冰/雪、水和融水池），以高空间分辨率确定每个类别的面积分数、冰浓度以及各个融水池的大小和几何形状。冰浓度和融水池覆盖范围在航班之间甚至从北极中部边缘冰区到浮冰区的图像之间存在很大的空间偏差。北极高海拔地区（从 84°N 到北部）的冰浓度和池塘覆盖率分别为约 75% 和约 6.8%，为 AMSR-E 数据同时指示的不寻常的跨极冰减少带和无源微波传感器无法覆盖的区域（88°N 以北）提供了“地面真相”。熔池尺寸和形状分布通过池面积 (S)、周长 (P)、平均厚度维数 (MCD) (L)、圆度 (R)、凸度 (C)、P/S 比率和分形维数 (D) 进行检查。池塘大小和数量之间存在幂律关系。几何指标的一些总体趋势被确定为池塘面积的函数，包括 R、C、P/S 和 D。池塘复杂性的尺度分离通过分析面积周长数据来证明。研究结果可能有助于融化池演化的建模和冰下透射光场异质性的确定。
ABSTRACT 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°N to north) was ~75% and ~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°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.
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