scholarly journals Collaborative Automation and IoT Technologies for Coastal Ocean Observing Systems

2021 ◽  
Vol 8 ◽  
Author(s):  
Patrizio Mariani ◽  
Ralf Bachmayer ◽  
Sokol Kosta ◽  
Ermanno Pietrosemoli ◽  
Murat V. Ardelan ◽  
...  
Keyword(s):  
Research Priorities ◽  
Cost Effective ◽  
Essential Elements ◽  
Coastal Areas ◽  
Observation System ◽  
Technological Developments ◽  
Machine Communication ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

Coastal observing systems are typically nationally funded and built around national priorities. As a result, there are presently significant differences between countries in terms of sustainability, observing capacity and technologies, as well as methods and research priorities. Ocean observing systems in coastal areas must now move toward an integrated, multidisciplinary and multiscale system of systems, where heterogeneity should be exploited to deliver fit-for-purpose products that answer the diversity and complexity of the requirements from stakeholders and end-users. Essential elements of such distributed observation systems are the use of machine-to-machine communication, data fusion and processing applying recent technological developments for the Internet of Things (IoT) toward a common cyberinfrastructure. This perspective paper illustrates some of the challenges for sustained coastal observations and provides details on how to address present gaps. We discuss the role of collaborative robotics between unmanned platforms in coastal areas and the methods to benefit from IoT technologies. Given present trends in cost-effective solutions in ocean sensors and electronics, and methods for marine automation and communication, we consider that a distributed observation system can effectively provide timely information in coastal regions around the world, including those areas that are today poorly observed (e.g., developing countries). Adaptation in space and time of the sensing nodes, and the flexibility in handling different sensing platforms can provide to the system the ability to quickly respond to the rapid changes in oceanic and climatic processes, as well as to promptly respond to evolving stakeholder and end-user requirements.

A Simple, Effective Project Selection System for the Alaska Ocean Observing System

2011 ◽  
Vol 45 (1) ◽  
pp. 68-74
Author(s):  
Steve Colt ◽  
Ginny Fay ◽  
Molly McCammon
Keyword(s):  
Project Selection ◽  
Observation System ◽  
Selection System ◽  
Advisory Committees ◽  
Administrative Costs ◽  
Regional Systems ◽  
Fully Functioning ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

AbstractThis article describes a simple but effective project prioritization and selection system developed and used by the Alaska Ocean Observing System (AOOS) (<ext-link href="www.aoos.org">www.aoos.org</ext-link>), one of eleven regional systems within the national Integrated Ocean Observation System (<ext-link href="www.ioos.gov">www.ioos.gov</ext-link>). Because Alaska has 71,000 km of coastline, extreme weather, and limited existing infrastructure, developing and operating a fully functioning ocean observing system will be challenging and quite costly. With AOOS’s recent annual budgets averaging only about $1.5 million (including program administrative costs), the AOOS Board must choose which projects to fund first from a long list of candidates. Working with staff, the board developed a project selection system that integrates scientific and socioeconomic criteria and seeks to balance benefits, costs, and risks. That system draws on consultation with information users and on analyses by both scientific and socioeconomic technical advisory committees. The board found the system to be efficient and effective; it may be useful to other programs and regions developing coastal ocean observing systems.

scholarly journals Consistency of the current global ocean observing systems from an Argo perspective

Ocean Science ◽  
2014 ◽  
Vol 10 (3) ◽  
pp. 547-557 ◽  
Author(s):  
K. von Schuckmann ◽  
J.-B. Sallée ◽  
D. Chambers ◽  
P.-Y. Le Traon ◽  
C. Cabanes ◽  
...  
Keyword(s):  
Sea Level ◽  
Heat Content ◽  
Deep Ocean ◽  
Global Ocean ◽  
Regional Variability ◽  
Tropical Ocean ◽  
Steric Sea Level ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

Abstract. Variations in the world's ocean heat storage and its associated volume changes are a key factor to gauge global warming and to assess the earth's energy and sea level budget. Estimating global ocean heat content (GOHC) and global steric sea level (GSSL) with temperature/salinity data from the Argo network reveals a positive change of 0.5 ± 0.1 W m−2 (applied to the surface area of the ocean) and 0.5 ± 0.1 mm year−1 during the years 2005 to 2012, averaged between 60° S and 60° N and the 10–1500 m depth layer. In this study, we present an intercomparison of three global ocean observing systems: the Argo network, satellite gravimetry from GRACE and satellite altimetry. Their consistency is investigated from an Argo perspective at global and regional scales during the period 2005–2010. Although we can close the recent global ocean sea level budget within uncertainties, sampling inconsistencies need to be corrected for an accurate global budget due to systematic biases in GOHC and GSSL in the Tropical Ocean. Our findings show that the area around the Tropical Asian Archipelago (TAA) is important to closing the global sea level budget on interannual to decadal timescales, pointing out that the steric estimate from Argo is biased low, as the current mapping methods are insufficient to recover the steric signal in the TAA region. Both the large regional variability and the uncertainties in the current observing system prevent us from extracting indirect information regarding deep-ocean changes. This emphasizes the importance of continuing sustained effort in measuring the deep ocean from ship platforms and by beginning a much needed automated deep-Argo network.

scholarly journals Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6752
Author(s):  
Lionel Camus ◽  
Hector Andrade ◽  
Ana Sofia Aniceto ◽  
Magnus Aune ◽  
Kanchana Bandara ◽  
...  
Keyword(s):  
Underwater Vehicles ◽  
Biological Data ◽  
Environmental Data ◽  
The Arctic ◽  
Spatiotemporal Resolution ◽  
Ecosystem Monitoring ◽  
High Biological Activity ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved through the project “Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach—GLIDER”. In this project, three autonomous surface and underwater vehicles were deployed along the Lofoten–Vesterålen (LoVe) shelf-slope-oceanic system, in Arctic Norway. The aim of this effort was to test whether gliders equipped with novel sensors could effectively perform ecosystem surveys by recording physical, biogeochemical, and biological data simultaneously. From March to September 2018, a period of high biological activity in the area, the gliders were able to record a set of environmental parameters, including temperature, salinity, and oxygen, map the spatiotemporal distribution of zooplankton, and record cetacean vocalizations and anthropogenic noise. A subset of these parameters was effectively employed in near-real-time data assimilative ocean circulation models, improving their local predictive skills. The results presented here demonstrate that autonomous gliders can be effective long-term, remote, noninvasive ecosystem monitoring and research platforms capable of operating in high-latitude marine ecosystems. Accordingly, these platforms can record high-quality baseline environmental data in areas where extractive activities are planned and provide much-needed information for operational and management purposes.

Ocean observing systems demystified

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
Luis Bermudez ◽  
Eric Delory ◽  
Tom O'Reilly ◽  
Joaquin del Rio Fernandez
Keyword(s):  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

Introduction to Coastal Ocean Observing Systems

2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yonggang Liu ◽  
Heather Kerkering ◽  
Robert H. Weisberg
Keyword(s):  
Coastal Ocean ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

SEACOOS Program Management

2008 ◽  
Vol 42 (3) ◽  
pp. 17-27 ◽  
Author(s):  
Harvey E. Seim ◽  
James Nelson ◽  
Madilyn Fletcher ◽  
C.N.K. Mooers ◽  
Lundie Spence ◽  
...  
Keyword(s):  
Data Management ◽  
Future Development ◽  
Coastal Ocean ◽  
Lessons Learned ◽  
Unified Approach ◽  
Annual Budget ◽  
History Of ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

The management of the SEACOOS program and its evolution over a five-year period are reviewed. The topics included pertain to the mechanisms used to create a consortium, define its mission, develop and manage its annual budget and tasking cycle; and the history of its focus over a five-year period. The management of SEACOOS was complex and required significant efforts to develop new approaches and collaborative mechanisms. Changes in management were made as weaknesses were identified and to enable a more unified approach to the evaluation, operations, data management and outreach efforts. A number of programmatic lessons learned are summarized that may be of value for future development of regional coastal ocean observing systems.

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