南极威德尔海西北区域冬季海冰龙骨形态分析

Keel Morphology Analysis on Winter Sea Ice in Northwestern Weddell Sea, Antarctica

  • 摘要: 极地海冰形态在风、流、浪等外界驱动力的作用下不断发生变化, 观测极地海冰底面形态特征并分析其变化规律, 有助于基于海冰粗糙度信息的冰厚遥感算法和海冰热动力学数值模拟参数化方案的优化, 对深入理解极地海冰特征对气候变化的响应有重要意义。首先, 基于机载电磁感应系统测得的南极威德尔海西北区域2006年冬季海冰底面起伏数据, 建立以龙骨切断深度为辨识参数的非线性统计优化模型, 从海冰底面形态中明确区分出局部起伏和龙骨; 然后, 利用统计方法分析龙骨形态参数, 并对龙骨深度和频次的相关性进行分析; 最后, 通过构造的新参数T分析龙骨深度与脊帆高度之间的相关性。结果表明, 威德尔海西北区域海冰的龙骨最优切断深度为3.8 m, 龙骨间距是影响强度的主要因素; 虽然不同类别海冰的变形程度差异显著, 但龙骨形状变化却并不明显; 龙骨深度与频次之间的对数相关关系能够很好地刻画龙骨的形态和分布特征; 新参数T与龙骨深度之间存在较强的线性相关关系, 相关系数为0.93。所提出的龙骨切断深度确定方法能够更精确地从海冰底面起伏中分离出龙骨, 为海冰表面和底面形态相关性研究以及利用海冰表面高度反演底面深度和冰厚提供进一步的理论参考依据。

     

    Abstract:
      Objectives  Morphology of polar sea ice changes continuously under the influences of external driving forces, e.g., wind, flow and waves. Observations and change regularity analysis on morphology of polar sea ice not only is helpful for the optimization of sea ice thermodynamics numerical simulation and the inversion of sea ice thickness based on roughness parameters, but also provide distinct importance for understanding the response of polar sea ice morphology to climate change.
      Methods  Based on the undulations profiles of sea ice bottom in Northwestern Weddell Sea measured by the helicopter-borne electromagneticinduction bird(EM-bird) system during the winter of 2006, this paper establishes a nonlinear statistical optimal model with the cutoff draft as the identified variable to separate the ridge keels and local undulations on sea ice bottom. Then, the keel morphology parameters and correlation between the keel draft and frequency are statistically analyzed. Finally, a new parameter T is hatched to assess the correlation between the ridge sail height and keel draft.
      Results  The results suggest that the optimal cutoff draft is 3.8 m and the keel spacing is the main factor affecting the ridging intensity. Despite marked sea ice deformation in different regions in Northwestern Weddell Sea, morphology changes of the keel are not evident. There is a good log correlation between draft and frequency of the keel, which vividly describes morphology and distribution of the keel. The newly hatched parameter T has a significant linear correlation with keel depth(r=0.93).
      Conclusions  The newly proposed modeling method can separate the keel from sea ice bottom undulations more accurately, which provides a new theoretical reference for morphological correlation analysis between surface and bottom of sea ice, and the inversion of sea ice thickness and bottom draft from its surface height.

     

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