Sea Ice Deformation Mapping by Means of Synthetic Aperture Radar

为了估计海冰的大气阻力系数，将提出一种利用从合成孔径雷达(SAR)图像中提取的参数的概念。将开发从雷达数据绘制和量化海冰表面结构和变形(例如浮冰大小分布、海脊间距)的方法。考虑到不同的合成孔径雷达系统将在不久的将来发射到太空，所提出的研究考虑了雷达频率、极化和空间分辨率对参数反演的影响。将对检索方法及其准确性进行评估。将分析SAR后向散射变化、与海冰变形和表面结构有关的参数以及大气阻力系数之间的潜在相关性。反演参数的利用将在大气边界层过程的数值模拟中进行检验。关于海冰表面结构和变形的定量信息也可用于模拟海冰动力学、估计海冰质量平衡、对冰类型进行分类以及海洋运输和近海作业的安全和效率。

A concept that utilizes parameters retrieved from synthetic aperture radar (SAR) imagery will be devised in order to evaluate the atmospheric drag coefficient of sea ice. Methods will be developed for mapping and quantifying sea ice surface structure and deformation (e. g. floe size distribution, ridge spacing) from radar data. Considering that different SAR systems will be launched into space in the near future, the proposed investigations consider the effect of radar frequency, polarization, and spatial resolutions on the parameter retrieval. Retrieval methods and their accuracy will be assessed. Potential correlations between SAR backscatter variations, retrieved parameters related to sea ice deformation and surface structure, and the atmospheric drag coefficient will be analysed. The utilization of the retrieved parameters will be tested in numerical simulations of atmospheric boundary layer processes. Quantitative information about the sea ice surface structure and deformation is also of use for modelling sea ice dynamics, estimating sea ice mass balance, classifying ice types, and for safety and efficiency of marine transport and offshore operations.