基于历史卫星数据的飑探测与分析

L. Renac, D. Hurdle, F. Enet, J. Vroom
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引用次数: 0

摘要

雷暴和飑(连续雷暴的锋面)与短暂但强烈的局地风有关,对沿海地区系泊船舶作业的可操作性或设计条件有很大影响。此类事件的短暂性和局部规模使得很难使用标准测量数据捕获它们,并且通常需要专门的长期测量活动。由于可用的标准测量通常是基于每小时一次的10分钟平均值,因此通常无法获得此类数据。在没有常规测量数据的情况下,如果谨慎分析和应用,使用卫星数据可以提供有用的设计数据。我们提出了两个案例研究(西非和巴西),其中在卫星数据中发现了暴风,并将其用于极值分析(EVA),以支持中等水深系泊系统的设计。用卫星图像证实了对飑的探测,并详细介绍了对这些数据的处理,以及所作的假设和结果对这些假设的敏感性。对设计价值的影响也讨论了两个地理位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Squall Detection and Analysis From Historical Satellite Data
Thunderstorms and squalls (fronts of contiguous thunderstorms) are associated with short but intense local winds that have a great impact on operability or design conditions for moored ship operations in the coastal zone. The brevity and local scale of such events makes them difficult to capture using standard measurement data and usually requires dedicated long-term measurement campaigns. Because the standard measurements available are usually based on 10-minute averages taken once an hour, such data is often not available. In the absence of conventional measured data, the use of satellite data can provide useful design data if analyzed and applied with caution. We present two case studies (West Africa and Brazil) where squalls have been identified in satellite data and used for extreme value analysis (EVA) to support the design of intermediate water depth mooring systems. The detection of squalls is confirmed with satellite imagery and the handling of this data for the EVA is presented in detail with assumptions made and the sensitivity of the results to these assumptions. The impact on design values is also discussed for both geographic locations.
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