Variability of the oceanographic structures of the Southern Ocean by the FerryBox data

V. Komorin, Y. Dikhanov, V. Bolshakov, Y. Popov, L. Matsokin
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引用次数: 3

Abstract

During Antarctic summers in the 2018—2021 period, physical, chemical, and biological parameters of the upper layer of seawater were continuously recorded using the FerryBox (FB) software and measuring system installed on-board the Ukrainian krill fishing trawler F/V More Sodruzhestva. The main hydrological fronts of the South Atlantic and the Southern Ocean were crossed from Cape Town to the Antarctic Peninsula. About 800,000 one-minute FB measurements were used in this research to determine and identify marine structures. The paper aims to estimate the spatial-temporal variability of oceanographic parameters of the surface layer of water in the Southern Ocean based on the FB data analysis. We use classical methods of analysis of hydrological structures, graphical, comparative, and statistical types of analysis of the field data, as well as data from the Copernicus Marine Environment Monitoring Service (CMEMS). Trawling areas were considered as hydrological landfills. We found a decrease in the total number of front crosses: from 8.6% in the 2018—2019 season to 3.9% in the 2020—2021 season. Analysis of the quality of information obtained from the FB showed that after adjustment the measurements allow solving various oceanographic problems, such as identifying frontal zones and detailing their hydrological structure, determining surface water masses and variability of their distribution limits, highlighting significant cycles in time of the measured parameters, studying the gas component of the upper sea layer water. A comparative analysis of the results of the FB observations with the CMEMS data showed their qualitative consistency.
FerryBox资料对南大洋海洋结构变化的影响
在2018-2021年南极夏季期间,使用FerryBox (FB)软件和安装在乌克兰磷虾捕捞拖网渔船F/V More Sodruzhestva上的测量系统连续记录了上层海水的物理、化学和生物参数。南大西洋和南大洋的主要水文前沿从开普敦跨越到南极半岛。在这项研究中,大约使用了80万次一分钟的FB测量来确定和识别海洋结构。本文旨在基于FB数据分析估算南大洋表层水的海洋参数的时空变异性。我们使用经典的水文结构分析方法,对现场数据进行图形、比较和统计类型的分析,以及来自哥白尼海洋环境监测服务(CMEMS)的数据。拖网渔区被视为水文垃圾填埋场。我们发现正面杂交的总数有所下降:从2018-2019年的8.6%下降到2020-2021年的3.9%。对从FB获得的信息质量的分析表明,调整后的测量结果可以解决各种海洋学问题,如识别锋面区并详细说明其水文结构,确定地表水质量及其分布极限的变率,突出测量参数在时间上的重要周期,研究上层海水的气体成分。对比分析了FB观测结果与CMEMS数据的一致性。
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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