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- Title
南极威德尔海西北区域冬季海冰龙骨形态分析.
- Authors
谭 冰; 高春春; 陆 洋; 卢 鹏; 李志军
- 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 under⁃ standing 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 electromagnetic⁃ induction 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.
- Subjects
ANTARCTICA; NONLINEAR statistical models; SEA ice; ANTARCTIC ice; STATISTICAL correlation
- Publication
Geomatics & Information Science of Wuhan University, 2021, Vol 46, Issue 9, p1386
- ISSN
1671-8860
- Publication type
Article
- DOI
10.13203/j.whugis20190204