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
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