Autonomous Underwater Vehicle Collaborations to Improve Hurricane Forecasting and Environmental Monitoring In the Gulf of Mexico
Document Type
Conference Proceeding
Publication Date
1-1-2015
Department
Marine Science
School
Ocean Science and Engineering
Abstract
Shell Exploration and Production Company is working with academic, non-profit, and federal stakeholders in the Gulf of Mexico to develop and implement long term environmental monitoring programs. One such program uses autonomous underwater gliders to provide near real-time oceanographic data to improve the understanding of the offshore physical environment and to improve estimates of upper ocean heat content for enhanced hurricane prediction and forecast models. Established in 2008, through a Memorandum of Agreement between Shell and NOAA, this partnership leverages the strengths of each collaborator to build a comprehensive and sustainable data collection system for providing real-time high resolution and baseline data to better assess environmental conditions and assure the environmental sustainability of Shell's activities in the Gulf of Mexico. An important element of the collaboration includes sharing data and results with the broader Gulf of Mexico stakeholder community. In this paper, we present the program framework, data and findings from three years of data collection (2012 - 2014), and identify future opportunities to leverage autonomous underwater gliders to improve understanding of the Gulf of Mexico offshore environment.
Publication Title
Proceedings of the Annual Offshore Technology Conference
Volume
6
First Page
4081
Last Page
4092
Recommended Citation
Perry, R.,
McCall, W.,
Leung, P.,
Martin, K.,
Vandermeulen, R.,
Sharma, N.,
Watson, S.,
Howden, S.,
Kirkpatrick, B.,
Satterlee, K.,
Vogel, M.,
Brzuzy, L.,
Voparil, I.,
Raye, R.,
Abadie, R.
(2015). Autonomous Underwater Vehicle Collaborations to Improve Hurricane Forecasting and Environmental Monitoring In the Gulf of Mexico. Proceedings of the Annual Offshore Technology Conference, 6, 4081-4092.
Available at: https://aquila.usm.edu/fac_pubs/18787
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