OD24C:
Tools, Services, and New Technology for Oceanographic Big Data Posters


Session ID#: 9523

Session Description:
Today’s oceanographic research is increasingly being conducted with broad and varied time series data that often bridges several remote sensing datasets with in situ information from autonomous sensors, ships, animal tracking, as well as ocean model inputs. However with more instruments becoming available that allow for longer time series and higher spatial resolution the datasets have become larger so that downloading and computing them locally is cumbersome and unwieldy. There are also an increasing number of datasets available. Previously there was often a single “community recognized dataset” for a parameter, for example, the “Reynolds SST” for sea surface temperature (SST). Now there are numerous other SST datasets to choose from. Working in this emerging environment requires new tools and services, storage and access paradigms, visualization and remote computation capabilities. Some existing web services like OPeNDAP, ERRDAP and Live Access Server do address some of these concerns, but fall short in addressing new challenges. In this session we seek such new or improved technologies that address these emerging challenges in using large volume and heterogeneous oceanographic data including tools, web services, visualization capabilities, novel storage and access methods, dataset discovery and relevance, and server and client side analysis.
Primary Chair:  Edward M Armstrong, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs:  Stephen C Diggs, University of California San Diego, La Jolla, CA, United States, Jessica Hausman, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Kenneth S Casey, NOAA/NESDIS/NODC, Silver Spring, MD, United States
Moderators:  Edward M Armstrong1, Jessica Hausman1, Kenneth S Casey2 and Stephen C Diggs3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States(2)NOAA National Centers for Environmental Information, Silver Spring, MD, United States(3)University of California San Diego, La Jolla, CA, United States
Student Paper Review Liaison:  Edward M Armstrong, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Co-Sponsor(s):
  • EC - Estuarine and Coastal
  • IS - Instrumentation & Sensing Technologies
  • PO - Physical Oceanography/Ocean Circulation

Abstracts Submitted to this Session:

 
Optimizing Oceanographic Big Data Browse and Visualization Response Times by Implementing the Lambda Architecture (87086)
Robert Dudley Currier1, Matthew Howard1 and Barbara A Kirkpatrick2, (1)Texas A & M University College Station, College Station, TX, United States, (2)Gulf of Mexico Coastal Ocean Observing System, Sarasota, FL, United States
 
The Jason-CS/Sentinel-6 Ocean Surface Topography Mission (Invited) (87829)
Craig Donlon, European Space Agency, ESTEC, Villanueva De La Can, Spain, Robert Cullen, European Space Research and Technology Centre, Earth Observation Project Department, Noordwijk, Netherlands and Remko Scharroo, EUMETSAT, Darmstadt, Germany
 
NOAA’s Big Data Partnership and Applications to Ocean Sciences (Invited) (87913)
Edward Joseph Kearns, NOAA, NOAA Chief Data Officer, Asheville, NC, UNITED STATES
 
A Generalized Distributed Data Match-Up Service in Support of Oceanographic Application (89174)
Vardis M Tsontos1, Thomas Huang1, Benjamin Holt1, Shawn R Smith2, Mark A Bourassa3, Steven J Worley4, Zaihua Ji5, Jocelyn Lee Elya6 and Adam Preston Stallard2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States, (3)Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States, (4)National Center for Atmospheric Research, CISL/DSS, Boulder, CO, United States, (5)NCAR, Boulder, CO, United States, (6)Florida State University, Tallahassee, FL, United States
 
A Participative Tool for Sharing, Annotating and Archiving Submarine Video Data (89939)
Yann Marcon1, Renzo Kottmann2, Volker Ratmeyer3 and Antje Boetius1,4, (1)Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, HGF-MPG Group for Deep Sea Ecology and Technology, Bremerhaven, Germany, (2)Max Planck Institute for Marine Microbiology, Bremen, Germany, (3)MARUM - University of Bremen, Bremen, Germany, (4)Max Planck Institute for Marine Microbiology, HGF-MPG Group for Deep Sea Ecology and Technology, Bremen, Germany
 
Near Real-Time Collection, Processing, and Publication of Beach Morphology and Oceanographic LIDAR Data (90002)
Tristan Dyer, U.S. Army Corps of Engineers Research and Development Center, Coastal & Hydraulics Laboratory, Duck, NC, United States; North Carolina State University, Department of Civil Engineering, Raleigh, NC, United States, Katherine L Brodie, US Army Corps of Engineers, Coastal & Hydraulics Laboratory, Field Research Facility, Duck, NC, United States and Nicholas Spore, US Army Corps of Engineers, ERDC - CHL - COAB, Jacksonville, FL, United States
 
Improving application of data quality information in accessing and using satellite data (90073)
Edward M Armstrong1, Thomas Huang1, Siri-Jodha S Khalsa2, Chantal Fry1, Christian Alarcon1, Zhangfan Xing1 and Toshio Michael Chin3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (3)Jet Propulsion Laboratory, Pasadena, CA, United States
 
Leveraging GeoTIFF Compatibility for Visualizing a New EASE-Grid 2.0 Global Satellite Passive Microwave Climate Record (90337)
Mary J. Brodzik, University of Colorado at Boulder, Boulder, CO, United States, Aaron C Paget, Brigham Young University, Provo, UT, United States, David G Long, Microwave Earth Remote Sensing Laboratory, Brigham Young University, Provo, UT, United States and Molly Hardman, National Snow and Ice Data Center, Boulder, CO, United States
 
A multi-scale and ungridded representation of data products (90712)
Toshio Michael Chin1, Edward M Armstrong2 and Jorge Vazquez2, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
A SensorML-based Metadata Model and Registry for Ocean Observatories: a Contribution from European Projects NeXOS and FixO3 (91107)
Eric Delory, Oceanic Platform of the Canary Islands, Observatory, TELDE, Spain and Simon Jirka, 52North, Munich, Germany
 
Integration of Cloud Technologies for Data Stewardship at the NOAA National Centers for Environmental Information (NCEI) (91767)
Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States and Scott A Hausman, NOAA National Centers for Environmental Information, Asheville, MD, United States
 
Transformation of model data to information - experiences with coastDat (92354)
Elke Meyer and Ralf Weisse, Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, Geesthacht, Germany
 
Oceanographic Research Capacity in the US Virgin Islands (93504)
Paul Jobsis and Sennai Y Habtes, University of the Virgin Islands, Center for Marine and Environmental Studies, St Thomas, United States Virgin Islands
 
WORKING TOGETHER, BEFORE WE'RE ALL AT SEA (93655)
Phillippa Bricher, Southern Ocean Observing System, Institute of Marine and Antarctic Studies, Hobart, Australia, Louise Newman, SOOS IPO, Hobart, Australia and Stephen C Diggs, University of California San Diego, La Jolla, CA, United States