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Author O'hara, S. H.; Arko, R. A.; Clark, D.; Chandler, C. L.; Elya, J. L.; Ferrini, V. L.; McLain, K.; Olson, C. J.; Sellers, C. J.; Smith, S. R.; Stocks, K. I.; Stolp, L.; Carbotte, S. M. openurl 
  Title Rolling Deck to Repository (R2R) Program Data Services for the Oceanographic Research Community Type $loc['typeJournal Article']
  Year 2018 Publication American Geophysical Union Abbreviated Journal  
  Volume Issue Pages  
  Keywords 4299 General or miscellaneous, OCEANOGRAPHY: GENERAL  
  Abstract Research vessels supported by NSF are critical platforms contributing to academic oceanographic research in the US. The “underway” data sets obtained from the continuously operating geophysical, water column, and meteorological sensors aboard these vessels provide characterization of basic environmental conditions for the oceans and are of high scientific value for building global syntheses, climatologies, and historical time series of ocean properties (e.g the World Ocean Atlas, the GMRT bathymetric synthesis, ICOADS). The Rolling deck to Repository program (www.rvdata.us) provides a central shore-side data gateway that ensures the basic documentation, assessment and submission of all environmental data from ship operators to the NOAA long-term archives for these data.

R2R provides a set of data services for the oceanographic research community, including: publishing an online, searchable and browsable master cruise catalog, supported by cruise and data set DOIs; organizing, archiving, and disseminating original underway data and documents; assessing data quality on select data types; creating select post-field data products; and supporting at-sea event logging.

In this presentation we will discuss new developments in R2R data services and challenges associated with ship-based data management. A significant challenge is the dramatic increase in data volumes associated with new sensors (e.g. the EK80 Sonar systems) whereby individual cruise distributions can be several terabytes. Ship operators, R2R and NCEI must design a way to move and store these growing volumes. R2R is also working to make information more accessible and complete. A new website has been launched along with API web services that allow users to find and use data more easily. R2R is working to improve device metadata, including working to identify the time sources for all environmental sensors to support accurate comparison and merging of data sets.
 
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  Call Number COAPS @ user @ Serial 1006  
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Author Smith, S.R. url  doi
openurl 
  Title Focusing on improving automated meteorological observations from ships Type $loc['typeMagazine Article']
  Year 2004 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 85 Issue 34 Pages 319  
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  ISSN 0096-3941 ISBN Medium  
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  Funding NOAA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 882  
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Author Gould, W.J.; Smith, S.R. url  doi
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  Title Research vessels: Underutilized assets for climate observations Type $loc['typeJournal Article']
  Year 2006 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 87 Issue 22 Pages 214  
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  Funding NOAA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 710  
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Author Gille, S.; Bourassa, M.A.; Clayson, C.A. url  doi
openurl 
  Title Improving Observations of High-Latitude Fluxes Between Atmosphere, Ocean, and Ice: Surface Fluxes: Challenges at High Latitudes; Boulder, Colorado, 17-19 March 2010 Type $loc['typeMagazine Article']
  Year 2010 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 91 Issue 35 Pages 307  
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  Call Number COAPS @ mfield @ Serial 379  
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Author Hanson, H.P.; Bozek, A.; Duerr, A.E.S. url  doi
openurl 
  Title The Florida Current: A clean but challenging energy resource Type $loc['typeJournal Article']
  Year 2011 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 92 Issue 4 Pages 29  
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  Call Number COAPS @ mfield @ Serial 323  
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Author Smith, S.R.; Bourassa, M.A.; Long, M. url  doi
openurl 
  Title Pirate attacks affect Indian Ocean climate research Type $loc['typeMagazine Article']
  Year 2011 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 92 Issue 27 Pages 225  
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  Call Number COAPS @ mfield @ Serial 325  
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Author Meyers, S.D.; O'Brien, J.J. url  doi
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  Title Pacific Ocean influences atmospheric carbon dioxide Type $loc['typeJournal Article']
  Year 1995 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 76 Issue 52 Pages 533-533  
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  Call Number COAPS @ mfield @ Serial 716  
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Author Bourassa, M.A.; Freilich, M.H.; Legler, D.M.; Liu, W.T.; O'Brien, J.J. url  doi
openurl 
  Title Wind observations from new satellite and research vessels agree Type $loc['typeJournal']
  Year 1997 Publication Eos, Transactions American Geophysical Union Abbreviated Journal Eos Trans. AGU  
  Volume 78 Issue 51 Pages 597  
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  Call Number COAPS @ mfield @ Serial 726  
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Author Jacob, J. C.; Armstrong, E. M.; Bourassa, M. A.; Cram, T.; Elya, J. L.; Greguska, F. R., III; Huang, T.; Ji, Z.; Jiang, Y.; Li, Y.; McGibbney, L. J.; Quach, N.; Smith, S. R.; Tsontos, V. M.; Wilson, B. D.; Worley, S. J.; Yang, C. P. url  openurl
  Title OceanWorks: Enabling Interactive Oceanographic Analysis in the Cloud with Multivariate Data Type $loc['typeAbstract']
  Year 2018 Publication American Geophysical Union Abbreviated Journal AGU  
  Volume Fall Meeting Issue Pages  
  Keywords 910 Data assimilation, integration and fusion, INFORMATICSDE: 1916 Data and information discovery, INFORMATICSDE: 1926 Geospatial, INFORMATICSDE: 1942 Machine learning, INFORMATICS  
  Abstract NASA's Advanced Information System Technology (AIST) Program sponsors the OceanWorks project to establish an integrated data analytics center at the Physical Oceanography Distributed Active Archive Center (PO.DAAC). OceanWorks provides a series of interoperable capabilities that are essential for cloud-scale oceanographic research. These include big data analytics, data search with subsecond response, intelligent ranking of search results, subsetting based on data quality metrics, and rapid spatiotemporal matchup of satellite measurements with distributed in situ data. The software behind OceanWorks is being developed as an open source project in the Apache Incubator Science Data Analytics Platform (SDAP – http://sdap.apache.org). In this presentation we describe how OceanWorks enables efficient, scalable, interactive and interdisciplinary oceanographic analysis with multivariate data.

Interactivity is enabled by a number of SDAP features. First, SDAP provides Representational State Transfer (REST) interfaces to a number of built-in cloud analytics to compute time series, time-averaged maps, correlation maps, climatological maps, Hovmöller maps, and more. To access these, users simply navigate to a properly constructed parameterized URL in their web browser or issue web services calls in a variety of programming languages or in a Jupyter notebook. Alternatively, Python clients can make function calls via the NEXUS Command Line Interface (CLI). Authenticated users can even inject their own custom code via REST calls or the CLI.

To enable interdisciplinary science, OceanWorks provides access to a rich collection of multivariate satellite and in situ measurements of the oceans (e.g., sea surface temperature, height and salinity, chlorophyll and circulation) and other Earth science data (e.g., aerosol optical depth and wind speed), coupled with on-demand processing capabilities close to the data. We partition the data across space or time into tiles and store them into cloud-aware databases that are collocated with the computations. We will provide examples of scientific studies directly enabled by OceanWorks' multivariate data and cloud analytics.
 
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  Call Number COAPS @ user @ Serial 1005  
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Author Zheng, Y.; Bourassa, M. A.; Dukhovskoy, D. S. url  openurl
  Title Upper-Ocean Processes Controlling the Sea Surface Temperature in the Western Gulf of Mexico Type $loc['typeAbstract']
  Year 2018 Publication American Geophysical Union Abbreviated Journal AGU  
  Volume Fall Meeting Issue Pages  
  Keywords 4299 General or miscellaneous, OCEANOGRAPHY: GENERAL  
  Abstract This study examines the upper-ocean processes controlling the mixed layer temperature in the western Gulf of Mexico (GOM) through estimating the contributing terms in the heat equation, with an emphasis on eddies' role. The major heat contributing terms for the upper GOM were estimated using two ocean reanalysis datasets: an eddy-resolving HYbrid Coordinate Ocean Model (HYCOM) and a Simple Ocean Data Assimilation (SODA). Analysis of net surface heat fluxes from four datasets reveals that the long-term mean net surface heat flux cools the northern GOM and warms the southern GOM. Two regions are focused for analysis: an eddy-rich region where LCEs are energetic, and the southwestern Gulf where eddy activity is relatively weak and the features of near surface temperature differ from the eddy-rich region. An eddy-rich region in the western GOM is defined based on the eddy kinetic energy derived from satellite sea surface heights. The long-term mean horizontal heat advection causes a weak warming over most of the eddy rich region, partly attributed to the flow-temperature configuration that the long-term and seasonally mean flow is nearly parallel to the corresponding mean isotherms. By contrast, the temporal mean vertical heat advection causes a strong warming in the eddy rich region, partly balancing the cooling caused by net surface heat flux. The temporal mean eddy heat flux convergence in the western GOM, whose positive and negative values are not small at some locations, appears heterogeneous in space, resulting in a small term for the western GOM when area averaged. The persistent warm water in the southwestern Gulf is primarily caused by the net warming from net surface heat flux rather than from eddies and heat advection.  
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  Call Number COAPS @ user @ Serial 1007  
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