Field Test of an Autonomous Observing System Prototype for Measuring Oceanographic Parameters from Ships

Author:

Santos Fernando P.1ORCID,Rosa Teresa L.12ORCID,Hinostroza Miguel A.1,Vettor Roberto1ORCID,Piecho-Santos A. Miguel23ORCID,Guedes Soares C.1ORCID

Affiliation:

1. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal

2. Portuguese Institute for the Sea and Atmosphere (IPMA), 1495-165 Lisbon, Portugal

3. Centre of Marine Sciences (CCMAR), University of Algarve, 8005-139 Faro, Portugal

Abstract

A prototype of an autonomous system for the retrieval of oceanographic, wave, and meteorologic data was installed and tested in May 2021 on a Portuguese research vessel navigating on the Atlantic Ocean. The system was designed to be installed in fishing vessels that could operate as a distributed network of ocean data collection. It consists of an automatic weather station, a ferrybox with a water pumping system, an inertial measurement unit, a GNSS unit, an onboard desktop computer, and a wave estimator algorithm for wave spectra estimation. Among several parameters collected by this system’s sensors are the air temperature, barometric pressure, humidity, wind speed and direction, sea water temperature, pH, dissolved oxygen, salinity, chlorophyll-a, roll, pitch, heave, true heading, and geolocation of the ship. This paper’s objectives are the following: (1) describe the autonomous prototype; and (2) present the data obtained during a full-scale trial; (3) discuss the results, advantages, and limitations of the system and future developments. Meteorologic measurements were validated by a second weather station onboard. The estimated wave parameters and wave spectra showed good agreement with forecasted data from the Copernicus database. The results are promising, and the system can be a cost-effective solution for voluntary observing ships.

Funder

EU FEDER/FEMP

Portuguese Foundation for Science and Technology

Publisher

MDPI AG

Reference35 articles.

1. 100 Years of Progress in Ocean Observing Systems;Davis;Meteorol. Monogr.,2019

2. Delory, E., and Pearlman, J. (2019). Challenges and Innovations in Ocean In Situ Sensors. Measuring Inner Ocean Processes and Health in the Digital Age, Elsevier.

3. Rosa, T.L., Piecho-Santos, A.M., Vettor, R., and Guedes Soares, C. (2021). Review and Prospects for Autonomous Observing Systems in Vessels of Opportunity. J. Mar. Sci. Eng., 9.

4. Ship-based contributions to global ocean, weather, and climate observing systems;Smith;Front. Mar. Sci.,2019

5. Shipboard automated meteorological and oceanographic system data archive: 2005–2017;Smith;Geosci. Data J.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3