Review and Prospects for Autonomous Observing Systems in Vessels of Opportunity

Review and Prospects for Autonomous Observing Systems in Vessels of Opportunity
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机遇号自主观测系统的回顾与展望

DOI:
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发表时间:
2021
影响因子:
2.9
通讯作者:
C. Guedes Soares
C. Guedes Soares
中科院分区:
地球科学3区
文献类型:
--
作者:
T. Rosa;A. Piecho;R. Vettor;C. Guedes Soares

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本文介绍了自主观测系统(AOS)在机遇船(VOO)中用于现场采集大气、海洋和生物地球化学数据的最新进展。指定的机遇船包括所有类型的船,即使没有科学目标,也可以携带自主测量环境变量的适当设备。这些船只可以是商船、军用、科研、邮轮、渔船、渡轮,甚至是私人游艇或帆船。AOS的使用可以为地方、区域或全球尺度研究提供高度精炼的海洋数据和改进的派生数据估计的机会。然而,为了科学和技术目的而使收集的信息可供查阅,在数据管理和分析方面带来了挑战,这首先必须确保利益攸关方获得可信的有用数据。对所实施的系统进行了全面审查。这包括确定目标、招募船只和审查安装适当的采集设备;选择和收集基本海洋变量(EOV);传递信息的机制;以及数据的质量控制分析和传播。在葡萄牙的背景下,提到了VOO目前和未来衡量EOV的能力。
This paper focuses on the state of the art on Autonomous Observing Systems (AOS) used in Vessels of Opportunity (VOO) for collecting in situ atmospheric, oceanic and biogeochemical data. The designation Vessels of Opportunity includes all kinds of ships, even if not having scientific goals, which may carry proper devices that autonomously measure environmental variables. These vessels can be merchant, military, research, cruise liners, fishing, ferries, or even private yachts or sailing boats. The use of AOS can provide the opportunity for highly refined oceanographic data and improved derived data estimation, for local, regional or global scales studies. However, making the collected information accessible, both for scientific and technical purposes, provides a challenge in data management and analysis, which must, above all, ensure trusted useful data to the stakeholders. An overall review of the systems implemented is presented. This includes the definition of objectives, the recruitment of vessels and a review on the installation of proper acquisition devices; the selection and collection of Essential Oceanic Variables (EOV); the mechanisms for transmitting the information, and the quality control analysis and dissemination of data. The present and future capabilities of VOO for measuring EOV, within the Portuguese context are referred.
DOI: 10.3389/fmars.2019.00434
发表时间: 2019-08
影响因子: 3.7
作者:
Shawn R. Smith;G. Alory;A. Andersson;W. Asher;A. Baker;D. Berry;K. Drushka;Darin Figurskey;Eric Freeman;P. Holthus;T. Jickells;H. Kleta;Elizabeth C. Kent;N. Kolodziejczyk;M. Kramp;Z. Loh;P. Poli;U. Schuster;Emma Steventon;S. Swart;O. Tarasova;Loic Petit de la Villéon;Nadya Vinogradova-Shiffer
通讯作者: Shawn R. Smith;G. Alory;A. Andersson;W. Asher;A. Baker;D. Berry;K. Drushka;Darin Figurskey;Eric Freeman;P. Holthus;T. Jickells;H. Kleta;Elizabeth C. Kent;N. Kolodziejczyk;M. Kramp;Z. Loh;P. Poli;U. Schuster;Emma Steventon;S. Swart;O. Tarasova;Loic Petit de la Villéon;Nadya Vinogradova-Shiffer
DOI: 10.1002/joc.4775
发表时间: 2017-04-01
期刊: INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子: --
作者:
Freeman, Eric;Woodruff, Scott D.;Smith, Shawn R.
通讯作者: Smith, Shawn R.