OD24C:
Tools, Services, and New Technology for Oceanographic Big Data Posters
OD24C:
Tools, Services, and New Technology for Oceanographic Big Data Posters
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
Index Terms:
1932 High-performance computing [INFORMATICS]
1980 Spatial analysis and representation [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]
1996 Web Services [INFORMATICS]
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)
A Generalized Distributed Data Match-Up Service in Support of Oceanographic Application (89174)
Near Real-Time Collection, Processing, and Publication of Beach Morphology and Oceanographic LIDAR Data (90002)
Improving application of data quality information in accessing and using satellite data (90073)
Leveraging GeoTIFF Compatibility for Visualizing a New EASE-Grid 2.0 Global Satellite Passive Microwave Climate Record (90337)
A SensorML-based Metadata Model and Registry for Ocean Observatories: a Contribution from European Projects NeXOS and FixO3 (91107)
Integration of Cloud Technologies for Data Stewardship at the NOAA National Centers for Environmental Information (NCEI) (91767)
See more of: Ocean Observing and Data Management