引用本文:	李星星,张晰,包萌,孟俊敏,刘根旺.海冰表面和底层形态的特征相关性分析——以2011年早春拉布拉多海海冰实验数据为例[J].海洋科学,2022,46(1):90-101.

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海冰表面和底层形态的特征相关性分析——以2011年早春拉布拉多海海冰实验数据为例
李星星^1,2,3, 张晰^2,3, 包萌^2,3, 孟俊敏^2,3, 刘根旺^2,3
1.山东科技大学测绘与空间信息学院, 山东青岛 266590;2.自然资源部第一海洋研究所, 山东青岛 266061;3.自然资源部海洋遥测技术创新中心, 山东青岛 266061

摘要:

海冰表面和底层形态的特征相关性分析对海冰分类、气候研究以及海冰厚度估计等方面具有重要作用。目前，海冰底层形态的研究较少，且缺乏海冰表面和底层形态的相关性研究。针对这一问题，本文利用加拿大渔业和海洋局提供的积雪表面粗糙度高度（定义为海冰或积雪表面相对于周围平整表面的高度）、海冰底层轮廓、积雪深度以及海冰厚度数据，采用均方根高度等7个粗糙度参数对海冰表面和底层粗糙度特征进行了分析，并给出了其概率密度函数。结果表明，7个粗糙度参数中，基于一阶粗糙度参数描述的海冰表面和底层粗糙度与海冰厚度之间存在强相关性，相关系数均大于0.680。三阶和四阶粗糙度参数表示的海冰表面和底层粗糙度与海冰厚度之间相关性较弱，相关系数的绝对值小于0.2。另外，基于一阶粗糙度参数描述的海冰表面和底层粗糙度具有强相关性的特点，相关系数大于0.740。这对利用海冰表面粗糙度估计底层粗糙度和海冰厚度等方面具有重要作用。

关键词: 海冰粗糙度相关性表面形态底层形态

DOI：10.11759/hykx20210409004

分类号:P76

基金项目:国家重点研发计划（2018YFC1407203），国家自然科学基金（41976173），中欧国际合作龙计划项目（577889）

Analysis of sea ice surface and bottom morphological characteristics using the experimental data of Labrador Sea ice in early spring of 2011

LI Xing-xing^1,2,3, ZHANG Xi^2,3, BAO Meng^2,3, MENG Jun-min^2,3, LIU Gen-wang^2,3

1.Shandong University of Science and Technology College of Geodesy and Geomatics, Qingdao 266590, China;2.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;3.Technology Innovation Center for Ocean Telemetry, MNR, Qingdao 266061, China

Abstract:

The analysis of sea ice surface and bottom morphological characteristics plays an important role in sea ice classification, climate research, and sea ice thickness estimation. Currently, there are few studies on the morphology of sea ice bottom and a lack of correlation research on the surface and bottom morphology of sea ice. In response to this problem, this paper extracts the sea ice surface roughness profile and bottom profile data, using the snow surface roughness profile, sea ice thickness, and snow thickness data. The profile and data are obtained using electromagnetic sensors, laser altimeters, and ground-penetrating radar. Seven roughness parameters such as the root mean square height are used to analyze the roughness characteristics of the sea ice surface and sea bottom. The results show that among the seven roughness parameters, there is a strong correlation between the sea ice surface and bottom roughness described by the first-order roughness parameter and the sea ice thickness. All correlation coefficients are greater than 0.680. The third-order and fourth-order roughness parameters represent a weak correlation between the surface and bottom roughness of the sea ice and the sea ice thickness; the absolute value of the correlation coefficient is less than 0.2. Additionally, the roughness of the sea ice surface and the bottom layer described by the first-order roughness parameter has strong correlation characteristics; the correlation coefficient is greater than 0.740. This information plays an important role in estimating the bottom roughness and sea ice thickness by using sea ice surface roughness.

Key words: sea ice roughness correlation surface morphology bottom morphology