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Integrated Ocean Data Model: Enhancing Science and Management

Explore the concept of a Single Integrated Ocean Data Model, with theme-based sub-models, to improve data collection, analysis, and decision-making in ocean science and management. Discuss the potential of ArcGIS technology and other contributions to this model.

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Integrated Ocean Data Model: Enhancing Science and Management

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  1. Additional Ideas for the ArcGIS Ocean Data Model Dawn Wright Oregon State U. ESRI Ocean Data Model Working Group, Oct. 4-5, 2001

  2. Important Distinction? Single Integrated Ocean Data Model or Theme-Based Sub-Models • Deep ocean data for science and management • Variation on ArcGIS conservation/ biodiversity model for coasts/oceans • Pat and Eric

  3. Deep Ocean Data for Science • coordinated collection of scientific data • geological, chemical, biological, and physical • high level analyses of the processes and process interactions

  4. Ocean Exploration “Hot Spots” Graphic courtesy of the RIDGE Multibeam Synthesis Project

  5. SIO SeaBeam Expeditions, 1981- Graphic courtesy of Steve Miller, Scripps Geological Data Center

  6. Ocean Exploration “Hot Spots” Graphic courtesy of the RIDGE Multibeam Synthesis Project

  7. Best studied fast-spreading ridge segment Wealth of data, results, models under-utilized ...formats, standards, tools incomplete/incompatible

  8. hydrothermal activity/convection (geologists & geochemists) physical structure of axial magma chambers (seismologists)

  9. Data Layers • Marine Boundaries • Bathymetry • Other U/W Geophysical • time, position, sidescan, magnetics, gravity, seismics • Derived grids • Standard supporting data • sea state, XBT, CTD, sea surface temperature and salinity, and derived SVP, as well as calibration data for each sensor • Images • Locations of observations • Submersible,ROV • Tracklines/Nav points

  10. Scientific Information Model • Entity-attribute-relationship diagrams • formal description of the scientific information requirements • objects, places, concepts, or events, as well as their interrelationships • pertinent to the real-world scenario of data flow and data analysis

  11. SIM cont. • Data acquisition and software will change • e.g., new vehicles, new satellites, etc. • Mgmt. of information that comes out of the acquisition systems, rather than the acquisition systems themselves • ID inherent structure of oceanographic facts and hypotheses, rather than the structure of the sensor data record.

  12. Ocean Data Model(s) Single Integrated Ocean Data Model with Theme-Based Sub-Models • Deep ocean data for science and management • Variation on ArcGIS conservation/ biodiversity model for coasts/oceans • Pat and Eric

  13. ArcGIS Ocean Data Model http://dusk.geo.orst.edu/djl/arcgis

  14. Other Contributions • Data sources • People: Partners, end users • Host major workshop in 2002 • Session at ESRI 2002? • Publication outlet(s) for data model(s)?

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