Deployments in extreme conditions: Pushing the boundaries of Seaglider capabilities

B. Queste, K. Heywood, J. Kaiser, G. A. Lee, A. Matthews, S. Schmidtko, C. Walker-Brown, S. Woodward
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引用次数: 8

Abstract

Over the last couple of decades, autonomous underwater vehicles have become a powerful tool in the investigation of biological, chemical and physical oceanography. Not only do they complement existing technologies, they open up new avenues of investigation through their specific capabilities. For AUVs to benefit from the same success other long term monitoring platforms have had (moorings, ARGO), it is critical to understand their limits in both monitoring and process studies. We present results from several Seaglider deployments by the University of East Anglia where Seagliders were pushed to the limit of their abilities. Comparison of missions in extreme conditions at the limits of their depth range (70 to 1000 m) and battery life shows a need for tailored survey design and flight parameters in order to maximise mission duration, control over the Seaglider and most efficient science sampling. In particular, we look at post-processing of Seaglider data and present aspects of a new MATLAB toolbox which greatly improves on timestamp correction of Seaglider data by accounting for errors introduced by using a single thread processor.
极端条件下的部署:推动滑翔机功能的边界
在过去的几十年里,自主水下航行器已经成为研究生物、化学和物理海洋学的有力工具。它们不仅补充了现有技术,还通过其特定功能开辟了新的研究途径。对于auv来说,要从其他长期监测平台(系泊、ARGO)取得的同样成功中受益,了解其在监测和过程研究中的局限性至关重要。我们展示了东安格利亚大学几次滑翔机部署的结果,其中滑翔机被推到了他们能力的极限。在深度范围(70至1000米)的极限条件下的任务和电池寿命的比较表明,需要量身定制的调查设计和飞行参数,以最大限度地延长任务时间,控制滑翔机和最有效的科学采样。特别地,我们着眼于对Seaglider数据的后处理,并介绍了一个新的MATLAB工具箱,该工具箱通过考虑使用单线程处理器引入的错误,大大改进了Seaglider数据的时间戳校正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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