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O'Brien, J. J., Bourassa, M. A., & Smith, S. R. (2005). Climate variability in ocean surface turbulent fluxes. Annual Report: The State of the Ocean and the Ocean Observing System for Climate. Silver Spring, MD, 20910. USA: NOAA Office of Climate Observation.
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O'Brien, J. J., Bourassa, M. A., & Smith, S. R. (2005). U.S. research vessel surface meteorology data assembly center. Annual Report: The State of the Ocean and the Ocean Observing System for Climate. Silver Spring, MD, 20910. USA: NOAA Office of Climate Observation.
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O'hara, S. H., Arko, R. A., Clark, D., Chandler, C. L., Elya, J. L., Ferrini, V. L., et al. (2018). Rolling Deck to Repository (R2R) Program Data Services for the Oceanographic Research Community. American Geophysical Union, .
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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O'hara, S. H., Arko, R. A., Clark, D., Chandler, C. L., Elya, J. L., Ferrini, V. L., et al. (2018). Rolling Deck to Repository (R2R) Program Data Services for the Oceanographic Research Community. In American Geophysical Union (Vol. American Geophysical Union, Fall Meeting 2018).
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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Raulerson, A. E., Arguez, A., O'Brien, J. J., & Smith, S. R. (2005). Interannual to interdecadal surface temperature variability of Florida. In 15th Conference on Applied Climatology, American Meteorological Society, Savannah, Georgia, USA.
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Smith, S. R. Automated marine weather observations on research vessels as part of an ocean observing system. (cdrom). Symposium on Forecasting the Weather and Climate of the Atmosphere and Ocean, American Meteorological Society, Seattle, WA, USA.
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Smith, S. R. (2004). Report from the 2nd workshop on high-resolution marine meteorology. COAPS Technical Report 04-01. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.
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Smith, S. R. (2004). Surface Meteorology from Research Vessels. GSOP Report on Ocean Observations, International CLIVAR Project Office, UK.
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Smith, S. R. (2004). The Shipboard Automated Meteorological and Oceanographic Systems (SAMOS) Initiative. 2004 meeting of the UNOLS Research Vessel Technical Enhancement Committee, UNOLS, St. Petersburg, Florida, USA.
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Smith, S. R. (2005). Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative. 3rd Session of the JCOMM Ship Observation Team. World Meteorological Organization.
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