COAPS Virtual Library (Publications)

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COAPS researchers: please email new publications to librarian@coaps.fsu.edu for inclusion in the database.

COAPS annually produces numerous refereed publications, technical reports, and theses. Here a user can view a list of our recent (the current calendar year) publications or search for publications of interest. The search page provides a number of user selectable options. Many published abstracts, full manuscripts, and theses can be accessed in PDF format.

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	Author	Domingues, R.; Kuwano-Yoshida, A.; Chardon-Maldonado, P.; Todd, R.E.; Halliwell, G.; Kim, H.-S.; Lin, I.-I.; Sato, K.; Narazaki, T.; Shay, L.K.; Miles, T.; Glenn, S.; Zhang, J.A.; Jayne, S.R.; Centurioni, L.; Le Hénaff, M.; Foltz, G.R.; Bringas, F.; Ali, M.M.; DiMarco, S.F.; Hosoda, S.; Fukuoka, T.; LaCour, B.; Mehra, A.; Sanabia, E.R.; Gyakum, J.R.; Dong, J.; Knaff, J.A.; Goni, G.
	Title	Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones			Type	$loc['typeJournal Article']
	Year	2019	Publication	Frontiers in Marine Science	Abbreviated Journal	Front. Mar. Sci.
	Volume	6	Issue		Pages	446
	Keywords
	Abstract	Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2296-7745	ISBN		Medium
	Area		Expedition		Conference
	Funding				Approved	$loc['no']
	Call Number	COAPS @ user @			Serial	1043
Permanent link to this record



	Author	Davidson, F.; Alvera-Azcárate, A.; Barth, A.; Brassington, G.B.; Chassignet, E.P.; Clementi, E.; De Mey-Frémaux, P.; Divakaran, P.; Harris, C.; Hernandez, F.; Hogan, P.; Hole, L.R.; Holt, J.; Liu, G.; Lu, Y.; Lorente, P.; Maksymczuk, J.; Martin, M.; Mehra, A.; Melsom, A.; Mo, H.; Moore, A.; Oddo, P.; Pascual, A.; Pequignet, A.-C.; Kourafalou, V.; Ryan, A.; Siddorn, J.; Smith, G.; Spindler, D.; Spindler, T.; Stanev, E.V.; Staneva, J.; Storto, A.; Tanajura, C.; Vinayachandran, P.N.; Wan, L.; Wang, H.; Zhang, Y.; Zhu, X.; Zu, Z.
	Title	Synergies in Operational Oceanography: The Intrinsic Need for Sustained Ocean Observations			Type	$loc['typeJournal Article']
	Year	2019	Publication	Frontiers in Marine Science	Abbreviated Journal	Front. Mar. Sci.
	Volume	6	Issue		Pages
	Keywords
	Abstract	Operational oceanography can be described as the provision of routine oceanographic information needed for decision-making purposes. It is dependent upon sustained research and development through the end-to-end framework of an operational service, from observation collection to delivery mechanisms. The core components of operational oceanographic systems are a multi-platform observation network, a data management system, a data assimilative prediction system, and a dissemination/accessibility system. These are interdependent, necessitating communication and exchange between them, and together provide the mechanism through which a clear picture of ocean conditions, in the past, present, and future, can be seen. Ocean observations play a critical role in all aspects of operational oceanography, not only for assimilation but as part of the research cycle, and for verification and validation of products. Data assimilative prediction systems are advancing at a fast pace, in tandem with improved science and the growth in computing power. To make best use of the system capability these advances would be matched by equivalent advances in operational observation coverage. This synergy between the prediction and observation systems underpins the quality of products available to stakeholders, and justifies the need for sustained ocean observations. In this white paper, the components of an operational oceanographic system are described, highlighting the critical role of ocean observations, and how the operational systems will evolve over the next decade to improve the characterization of ocean conditions, including at finer spatial and temporal scales.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2296-7745	ISBN		Medium
	Area		Expedition		Conference
	Funding				Approved	$loc['no']
	Call Number	COAPS @ user @			Serial	1083
Permanent link to this record



	Author	Lee, C.M.; Starkweather, S.; Eicken, H.; Timmermans, M.-L.; Wilkinson, J.; Sandven, S.; Dukhovskoy, D.; Gerland, S.; Grebmeier, J.; Intrieri, J.M.; Kang, S.-H.; McCammon, M.; Nguyen, A.T.; Polyakov, I.; Rabe, B.; Sagen, H.; Seeyave, S.; Volkov, D.; Beszczynska-Möller, A.; Chafik, L.; Dzieciuch, M.; Goni, G.; Hamre, T.; King, A.L.; Olsen, A.; Raj, R.P.; Rossby, T.; Skagseth, Ø.; Søiland, H.; Sørensen, K.
	Title	A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System			Type	$loc['typeJournal Article']
	Year	2019	Publication	Frontiers in Marine Science	Abbreviated Journal	Front. Mar. Sci.
	Volume	6	Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2296-7745	ISBN		Medium
	Area		Expedition		Conference
	Funding				Approved	$loc['no']
	Call Number	COAPS @ user @			Serial	1044
Permanent link to this record



	Author	Fender, C.K.; Kelly, T.B.; Guidi, L.; Ohman, M.D.; Smith, M.C.; Stukel, M.R.
	Title	Investigating Particle Size-Flux Relationships and the Biological Pump Across a Range of Plankton Ecosystem States From Coastal to Oligotrophic			Type	$loc['typeJournal Article']
	Year	2019	Publication	Frontiers in Marine Science	Abbreviated Journal	Front. Mar. Sci.
	Volume	6	Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2296-7745	ISBN		Medium
	Area		Expedition		Conference
	Funding				Approved	$loc['no']
	Call Number	COAPS @ user @			Serial	1074
Permanent link to this record



	Author	Huang, T.; Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; Elya, J.; Greguska, F.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.T.; McGibbney, L.J.; Smith, S.R.; Wilson, B.D.; Worley S.J.; Yang, C.
	Title	An Integrated Data Analytics Platform			Type	$loc['typeJournal Article']
	Year	2019	Publication	Marine Science	Abbreviated Journal	Mar. Sci.
	Volume	6	Issue		Pages
	Keywords	big data, Cloud computing, Ocean science, data analysis, Matchup, anomaly detection, open source
	Abstract	An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform for big ocean science at NASA�s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery. Our communities are relying on data available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Funding				Approved	$loc['no']
	Call Number	COAPS @ user @			Serial	1038
Permanent link to this record