OD44A:
Big Data for a Big Ocean: Progress on Tools, Technology, and Services I Posters


Session ID#: 28354

Session Description:
Four years ago, oceanographers and data management specialists gathered at the 2014 Ocean Sciences meeting to discuss our community’s emerging and novel approaches to the Big Data challenges presented by ocean data’s growing complexity and volume. For the 2018 Ocean Sciences meeting, the community is invited to return to these discussions and mark progress on the Big data tools, technologies, and services to collect, store, preserve, process, discover, access, visualize, and analyze big ocean data. Submissions that look forward to emerging problems and their solutions are also requested, as well as lessons-learned from attempts to leverage those new technologies and services. Contributions are encouraged from across the academic, commercial, and government sectors to foster partnerships and innovations to solve these big ocean data challenges and enable a new generation of ocean science and applications.
Primary Chair:  Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States
Co-chairs:  Danie Kinkade, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Stephen C Diggs, University of California San Diego, La Jolla, CA, United States and Edward Joseph Kearns, First Street, New York, United States
Moderators:  Danie Kinkade, Woods Hole Oceanographic Institution, Woods Hole, MA, United States and Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States
Student Paper Review Liaison:  Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States
Index Terms:

1912 Data management, preservation, rescue [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1942 Machine learning [INFORMATICS]
1954 Natural language processing [INFORMATICS]
Cross-Topics:
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies

Abstracts Submitted to this Session:

A Fine Spatial Scale Sea Surface Temperature Atlas of the Australian Regional Seas (SSTAARS): Seasonal Variability and Trends around Australasia and New Zealand Revisited (319702)
Dr. Susan Anne Wijffels, PhD, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Helen Beggs, Bureau of Meteorology, Melbourne, Australia, Christopher Griffin, Bureau of Meteorology, Australia, John Falla Middleton, SARDI, Henley Beach, Australia, Madeleine Cahill, CSIRO, Australia, Emlyn Morris Jones, CSIRO Oceans and Atmosphere, Hobart, Australia, Ming Feng, CSIRO, Environment, Crawley, Western Australia, Australia, Craig Raymond Steinberg, Australian Institute of Marine Science, Townsville, QLD, Australia and Philip Sutton, National Institute of Water and Atmospheric Research, Wellington, New Zealand
Validation of SLSTR sea surface temperature data with the ISAR sea surface reference data. (322077)
Werenfrid Wimmer, University of Southampton, Ocean and Earth Science, Southampton, SO14, United Kingdom
Implementation of a Global Ocean Currents Database at NOAA’s National Centers for Environmental Information (279064)
Leangchwan Sun, National Centers for Environmental Information, Silver Spring, MD, United States
Applying Big Data and Genetic Algorithm to Constrain Spread in Ocean Carbon Sink Projections (310828)
Jerry Tjiputra, Bjerknes Centre for Climate Research, Bergen, Norway and Klaus Johannsen, Uni Research Computing, Bergen, Norway
Integrating the Distributed Oceanographic Match-Up Service into OceanWorks (311722)
Shawn R Smith1, Jocelyn Lee Elya2, Mark A Bourassa3, Thomas Huang4, Vardis M Tsontos5, Benjamin Holt6, Frank R Greguska III5, Nga Chung5, Steven J Worley7 and Zaihua Ji7, (1)Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, United States, (2)Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States, (3)Florida State Univ, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)NCAR, Boulder, CO, United States
OCView – interactive online visualization and monitoring tool for satellite ocean color data imagery (312116)
Karlis Mikelsons, GST, Inc, Greenbelt, MD, United States; NOAA/NESDIS/STAR, College Park, MD, United States and Menghua Wang, NOAA College Park, College Park, MD, United States
PolarWatch, A New NOAA Program to Improve Ocean Remote Sensing Data Access (313312)
Jennifer Patterson Sevadjian, NOAA Southwest Fisheries Science Center, Environmental Research Division, La Jolla, United States, Cara Wilson, NOAA/NMFS Southwest Fisheries Science Center, Monterey, CA, United States, Dr. Dale H Robinson, NOAA Southwest Fisheries Science Center, Environmental Research Division, Santa Cruz, CA, United States and Sinead Louise Farrell, University of Maryland, Cooperative Institute for Satellite Earth System Studies (CISESS), Earth System Science Interdisciplinary Center (ESSIC), College Park, United States; NOAA Laboratory for Satellite Altimetry, NCWCP, College Park, United States
The Frictionless Data Package: Data Containerization for Addressing Big Data Challenges (314192)
Adam Shepherd, Woods Hole Oceanographic Institution, Woods Hole, MA, United States, Douglas Fils, Consortium for Ocean Leadership, Washington, United States, Danie Kinkade, Woods Hole Oceanographic Inst, Woods Hole, United States and Mak A Saito, Woods Hole Oceanographic Institution, Marine Chemistry and Geochemistry, Woods Hole, MA, United States
Programmatic and API-level access to Big Data at NASA JPL’s PO.DAAC (314725)
Lewis John McGibbney1, Edward M Armstrong2, Joseph Charles Jacob1, Nga T Quach3, Frank R Greguska III1, Thomas Huang2 and David F Moroni4, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Reconstruction of long-term observational wind data from estimated power spectra (316868)
Xiaorong Li1, Liam Comerford2 and Andy Plater1, (1)University of Liverpool, Liverpool, United Kingdom, (2)Leibniz University of Hannover, Institute for Risk and Reliability, Hannover, Germany
Discovery and Integration of Ocean Sequencing Data with MetaSeek (320462)
Adrienne Hoarfrost, University of North Carolina at Chapel Hill, Department of Marine Sciences, Chapel Hill, NC, United States, Nick Brown, Independent Researcher, Durham, NC, United States and Carol Arnosti, The University of North Carolina at Chapel Hill, Department of Marine Sciences, Chapel Hill, NC, United States
Discovery, Distribution, and Access to Big Data by Leveraging the Data Aggregation and Distribution Capabilities of the ERDDAP Data Server (321094)
Dr. Dale H Robinson1, Cara Wilson2, Roy Mendelssohn3, Jennifer Patterson Sevadjian4, Lynn Dewitt5 and Robert Simons3, (1)University of California Santa Cruz, Affiliated with NOAA CoastWatch at NOAA Southwest Fisheries Science Center, Santa Cruz, United States, (2)NOAA, Monterey, United States, (3)NOAA Pacific Grove, Pacific Grove, CA, United States, (4)NOAA Southwest Fisheries Science Center, Environmental Research Division, La Jolla, United States, (5)NOAA/NMFS/Southwest Fisheries Science Center, Monterey, United States
The Ocean Carbon Data System (OCADS) is a data management project within the NOAA National Centers for Environmental Information (NCEI). OCADS was established in January 2017 to replace the Oceans component of the Carbon Dioxide Information Analysis Center (CDIAC-Oceans) at the Oak Ridge National Laboratory (ORNL). (323381)
Alexander Kozyr, National Centers for Environmental Information, Knoxville, TN, United States
Choose Your Own Adventure: NETL’s Innovative Cumulative Spatial Impact Layers Tool for Processing, Analyzing, and Visualizing Spatio-Temporal Big Data (323398)
Jennifer R Bauer, National Energy Technology Laboratory, Albany, OR, United States, Lucy Romeo, AECOM California, Los Angeles, CA, United States, Patrick Wingo, Leidos Research Support Team, Albany, OR, United States, Aaron Barkhurst, Matric Mid-Atlantic Technology, Research & Innovation Center, Morgantown, WV, United States, Joel Chittum, MATRIC, WV, United States and Kelly Rose, National Energy Technology Laboratory, Albany, United States
Providing Spray underwater glider measurements for a Big Data world (323578)
Guilherme P Castelao and Daniel L Rudnick, Scripps Institution of Oceanography, La Jolla, CA, United States
Real-time access to OOI Cabled Array Data using a RESTful API (323812)
Friedrich Knuth1, Michael J Smith1, Lori M Garzio1, Leila Belabbassi1, Charles Sage Lichtenwalner2, John Kerfoot3, Michael F Crowley3, Michael Vardaro1 and Deborah S Kelley4, (1)Rutgers University, Department of Marine and Coastal Sciences, New Brunswick, NJ, United States, (2)Rutgers University, Marine and Coastal Sciences, New Brunswick, United States, (3)Rutgers University, Marine and Coastal Sciences, New Brunswick, NJ, United States, (4)University of Washington, School of Oceanography, Seattle, WA, United States
The IOOS Environmental Sensor Map: Data Infrastructure To Ingest, Visualize, and Serve Billions of Real-time Ocean Observations Each Year (325409)
Stacey Buckelew1, Robert Bochenek2, Shane StClair3, Kyle Wilcox4, Brian Stone2, Jessica Austin5, Derrick P Snowden6, Tiffany C Vance7 and Kathleen Bailey8, (1)Axiom Data Science, Homer, AK, United States, (2)Axiom Data Science, Anchorage, AK, United States, (3)Axiom Data Science, Portland, OR, United States, (4)Axiom Data Science LLC, Providence, RI, United States, (5)Axiom Data Science LLC, Anchorage, AK, United States, (6)U.S. Integrated Ocean Observing System, Silver Spring, United States, (7)Integrated Ocean Observing System, Silver Spring, MD, United States, (8)Integrated Ocean Observing System, United States
PyEcholab: a toolkit for water column echosounder data analysis (326507)
Charles Anderson1,2, Carrie Wall2,3, George Cutter4, Rick Towler5 and Josef Michael Jech6, (1)CIRES, Boulder, CO, United States, (2)National Centers for Environmental Information, NOAA, Boulder, CO, United States, (3)University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (4)NOAA Southwest Fisheries Science Center, Antarctic Ecosystem Research Division, La Jolla, CA, United States, (5)NOAA Alaska Fisheries Science Center, Seattle, WA, United States, (6)NOAA Northeast Fisheries Science Center, Woods Hole, United States

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