scholarly journals The Evolution and Outcomes of a Collaborative Testbed for Predicting Coastal Threats

2020 ◽  
Vol 8 (8) ◽  
pp. 612
Author(s):  
Charles Reid Nichols ◽  
Lynn Donelson Wright
Keyword(s):  
Access Network ◽  
Well Being ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
South Atlantic Bight ◽  
Research Association ◽  
Time Data ◽  
Distributed Sensors ◽  
Environmental Prediction ◽  
Ocean Observing

Beginning in 2003, the Southeastern Universities Research Association (SURA) enabled an open-access network of distributed sensors and linked computer models through the SURA Coastal Ocean Observing and Predicting (SCOOP) program. The goal was to support collaborations among universities, government, and industry to advance integrated observation and modeling systems. SCOOP improved the path to operational real-time data-guided predictions and forecasts of coastal ocean processes. This was critical to the maritime infrastructure of the U.S. and to the well-being of coastal communities. SCOOP integrated and expanded observations from the Gulf of Mexico, the South Atlantic Bight, the Middle Atlantic Bight, and the Chesapeake Bay. From these successes, a Coastal and Ocean Modeling Testbed (COMT) evolved with National Oceanic and Atmospheric Administration (NOAA) funding via the Integrated Ocean Observing System (IOOS) to facilitate the transition of key models from research to operations. Since 2010, COMT has been a conduit between the research community and the federal government for sharing and improving models and software tools. SCOOP and COMT have been based on strong partnerships among universities and U.S. agencies that have missions in ocean and coastal environmental prediction. During SURA’s COMT project, which ended September 2018, significant progress was made in evaluating the performance of models that are progressively becoming operational. COMT successes are ongoing.

Architecture of a Community Infrastructure for Predicting and Analyzing Coastal Inundation

2007 ◽  
Vol 41 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Philip Bogden ◽  
Tom Gale ◽  
Gabrielle Allen ◽  
Jon MacLaren ◽  
Guy Almes ◽  
...  
Keyword(s):  
Service Oriented Architecture ◽  
Numerical Models ◽  
Virtual Community ◽  
Research Association ◽  
Coastal Impacts ◽  
Computer Scientists ◽  
Working Together ◽  
Service Oriented ◽  
Environmental Prediction ◽  
Ocean Observing

The Southeastern Universities Research Association (SURA) has advanced the SURA Coastal Ocean Observing and Prediction (SCOOP) program as a multi-institution collaboration to design and prototype a modular, distributed system for real-time prediction and visualization of the coastal impacts from extreme atmospheric events, including hurricane inundation and waves. The SCOOP program vision is a community “cyberinfrastructure” that enables advances in the science of environmental prediction and coastal hazard planning. The system architecture is a coordinated and distributed network of interoperable, modularized components that include numerical models, information catalogs, distributed archives, computing resources, and network infrastructure. The components are linked over the Internet by standardized web-service interfaces in a service-oriented architecture (SOA). The design philosophy allows geographically disparate partnering institutions to provide complementary data-provider and integration services. The overall system enables coordinated sharing of resources, tools, and ideas among a virtual community of coastal and computer scientists. The distributed design builds on the notion that standards enable innovation, and seeks to leverage successes of the World Wide Web by creating an environment that nurtures interaction between the research community, the private sector, and government agencies working together on behalf of the nation.

An Innovative Coastal-Ocean Observing Network (ICON)

1999 ◽  
Author(s):  
Jeffrey D. Paduan ◽  
Steven R. Ramp ◽  
Leslie K. Rosenfeld ◽  
Curtis A. Collins ◽  
Ching-Sang Chiu ◽  
...  
Keyword(s):  
Coastal Ocean ◽  
Ocean Observing

The Carolinas Coastal Ocean Observing and Prediction System

2003 ◽  
Author(s):  
E.N. Buckley ◽  
M.M. Fletcher ◽  
L.J. Pietrafesa ◽  
M.K. Moss
Keyword(s):  
Coastal Ocean ◽  
Prediction System ◽  
Ocean Observing

Expanding the Caribbean Coastal Ocean Observing System into the nearshore region

2012 Oceans ◽  
2012 ◽  
Author(s):  
M. Canals ◽  
J. Morell ◽  
J. E. Corredor ◽  
S. Leonardi
Keyword(s):  
Coastal Ocean ◽  
The Caribbean ◽  
Ocean Observing

scholarly journals Toward the widespread application of low-cost technologies in coastal ocean observing (Internet of Things for the Ocean)

2021 ◽  
Author(s):  
MARCO MARCELLI ◽  
VIVIANA PIERMATTEI ◽  
RICCARDO GERIN ◽  
FABIO BRUNETTI ◽  
ERMANNO PIETROSEMOLI ◽  
...  
Keyword(s):  
Communication Systems ◽  
Low Cost ◽  
Large Data ◽  
Cost Effective ◽  
Coastal Ocean ◽  
Global Ocean ◽  
Limiting Factor ◽  
Widespread Application ◽  
Development Framework ◽  
Ocean Observing

The ability to access user-friendly, low-cost instrumentation remains a limiting factor in coastal ocean observing. The majority of currently available marine observation equipment is difficult to deploy, costly to operate, and requires specific technical skills. Moreover, a harmonized observation program for the world’s coastal waters has not yet been established despite the efforts of the global ocean organizations. Global observational systems are mainly focused on open ocean waters and do not include coastal and shelf areas, where models and satellites require large data sets for their calibration and validation. Fortunately, recent technological advances have created opportunities to improve sensors, platforms, and communications that will enable a step-change in coastal ocean observing, which will be driven by a decreasing cost of the components, the availability of cheap housing, low-cost controller/data loggers based on embedded systems, and low/no subscription costs for LPWAN communication systems. Considering the above necessities and opportunities, POGO’s OpenMODs project identified a series of general needs/requirements to be met in an Open science development framework. In order to satisfy monitoring and research necessities, the sensors to be implemented must be easily interfaced with the data acquisition and transmission system, as well as compliant with accuracy and stability requirements. Here we propose an approach to co-design a cost-effective observing modular instrument architecture based on available low-cost measurement and data transmission technologies, able to be mounted/operated on various platforms. This instrument can fit the needs of a large community that includes scientific research (including those in developing countries), non-scientific stakeholders, and educators.

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