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A probabilistic description of pressure ridge width, spacing, and keel depth for the Chukchi and Beaufort seas based on IPS and ADCP observations
Cold Regions Science and Technology ( IF 4.1 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.coldregions.2020.103171
Vincent Valenti , Andy Mahoney , Andrew Metzger

Abstract 16 seasons of under-ice measurements, from both the Beaufort and Chukchi seas, were processed and pressure ridge keel features were identified. A starting threshold value of 6m was justified by statistical goodness-of-fit results and used to identify keels from the under-ice measurements. Statistics for keel depth, keel width, keel slope, and keel spacing were determined and compared to other sources. It was shown that the Exponential, Gamma and Weibull Distributions all fit depth data well; with the three-parameter Weibull Distribution being the better fit. Keel width and slope were studied by comparing the most common modal keel width, for each 1m increment of keel depth, and comparing the results to other sources. A presumed keel slope, for an idelaized triangular keel, of 33.7° for the Western Beaufort and 32.5° for the Chukchi seas did not compare well with field measurements from some sources but did compare favorably with published results from models of ridge formation. The disparity could have significant implications when designing offshore structures in ice-covered waters. The best fit found for keel spacing was the Lognormal Distribution, which is consistent with other studies. Parameters for the distributions considered in the paper are provided along with rudimentary statistics for the parameters studied.

中文翻译:

基于 IPS 和 ADCP 观测的楚科奇海和波弗特海压力脊宽度、间距和龙骨深度的概率描述

摘要 对来自波弗特海和楚科奇海的 16 个季节的冰下测量进行了处理,并确定了压力脊龙骨特征。6m 的起始阈值由统计拟合优度结果证明是合理的,并用于从冰下测量中识别龙骨。确定了龙骨深度、龙骨宽度、龙骨坡度和龙骨间距的统计数据,并与其他来源进行了比较。结果表明,指数分布、伽玛分布和威布尔分布都很好地拟合了深度数据;三参数威布尔分布更适合。通过比较最常见的模态龙骨宽度,每增加 1m 的龙骨深度,并将结果与​​其他来源进行比较,研究了龙骨宽度和坡度。对于理想化三角龙骨,推定的龙骨坡度为 33.7°,西博福特为 32°。楚科奇海的 5° 与某些来源的现场测量结果相比不太好,但与海脊形成模型的已发表结果相比确实不错。在冰覆盖水域设计海上结构时,这种差异可能具有重大意义。龙骨间距的最佳拟合是对数正态分布,这与其他研究一致。提供了论文中考虑的分布参数以及所研究参数的基本统计数据。这与其他研究一致。提供了论文中考虑的分布参数以及所研究参数的基本统计数据。这与其他研究一致。提供了论文中考虑的分布参数以及所研究参数的基本统计数据。
更新日期:2021-02-01
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