Improved Acoustic Tracking of RAFOS-Enabled Profiling Floats Through the New Software Package artoa4argo

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
Cathrine Hancock, Olaf Boebel
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引用次数: 0

Abstract

Abstract In sea ice covered polar oceans, profiling Argo floats are often unable to surface for 9 months or longer, rendering acoustic RAFOS (Ranging And Fixing Of Sound) tracking the only method to obtain unambiguous under-ice positions. Tracking RAFOS-enabled floats has historically relied on the ARTOA3 software, which had originally been tailored towards non-profiling floats in regions featuring the SOFAR (SOund Fixing And Ranging) channel with acoustic ranges of approximately 1000km. However, in sea ice covered regions, RAFOS tracking is challenged due to: (a) reduced acoustic ranges of RAFOS signals, and (b) enhanced uncertainties in float and sound source clock offsets. A new software, built on methodologies of previous ARTOA versions, called artoa4argo, has been created to overcome these issues by exploiting additional float satellite fixes, resolving ambiguous float positions when tracking with only two sources and systematically resolving float and sound source clock offsets. To gauge the performance of artoa4argo, 21 RAFOS-enabled profiling floats deployed in the Weddell Sea during 2008-2012 were tracked. These have previously been tracked in independent studies with a Kalman Smoother and a Multi-Constraint method. artoa4argo improves tracking by automating and streamlining methods. Although artoa4argo does not necessarily produce positions for every timestep, which the Kalman Smoother and Multi-Constraint methods do, whenever a track location is available, it outperforms both methods.
通过新的软件包artoa4argo改进了RAFOS-Enabled Profiling浮标的声学跟踪
在海冰覆盖的极地海洋中,剖面Argo浮标通常无法在9个月或更长时间内浮出水面,这使得声学RAFOS(测距和固定声音)跟踪成为获得明确冰下位置的唯一方法。跟踪启用rafos的浮子一直依赖于ARTOA3软件,该软件最初是针对具有声波范围约为1000公里的SOFAR(声音固定和测距)通道区域的非profiling浮子量身定制的。然而,在海冰覆盖地区,由于:(a) RAFOS信号的声学范围减小,以及(b)浮子和声源时钟偏移的不确定性增加,RAFOS跟踪受到挑战。一款名为artoa4argo的新软件,基于之前ARTOA版本的方法,通过利用额外的浮动卫星修复,解决仅用两个源跟踪时模糊的浮动位置,并系统地解决浮动和声源时钟偏移,从而克服了这些问题。为了评估artoa4argo的性能,研究人员对2008年至2012年间部署在威德尔海的21个启用rafos的剖面浮标进行了跟踪。这些先前已经在卡尔曼平滑和多约束方法的独立研究中进行了跟踪。Artoa4argo通过自动化和简化方法来改进跟踪。尽管artoa4argo不一定像卡尔曼平滑和多约束方法那样为每个时间步产生位置,但只要轨道位置可用,它的性能就优于这两种方法。
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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