OceanObs’09 Community White Paper Proposal
Coastal Data Management (tentative title)
Lead author:
Jeff de La Beaujardière
NOAA Integrated Ocean Observing System (IOOS) Program
1100 Wayne Ave #1225, Silver Spring MD 20901 USA
jeff.deLaBeaujardiere@noaa.gov
+1 301 427 2427
Corresponding authors:
C. J. Beegle-Krause
Applied Science Associates, Inc.
10002 Aurora Ave N Ste 36, PMB 4401
Seattle, WA 98133USA
cjbeeglekrause@asascience.com
Luis Bermudez
Southeastern Univ. Research Assoc. (SURA)
1201 New York Ave. NW Suite 430,
Washington DC 20005 USA
bermudez@sura.org
Steven Le
Central and Northern California Ocean
Observing System (CENCOOS)
1275 Columbus Ave
San Francisco, CA 94133 USA
leho@saic.com
Roger Proctor
Integrated Marine Observing System (IMOS)
University of Tasmania, Private Bag 110,
Hobart TAS 7001 Australia
Roger.Proctor@utas.edu.au
Steven Hankin
NOAA Pacific Marine Environment Lab
(PMEL)
7600 Sand Point Way NE
Seattle, WA 98115 USA
Steven.C.Hankin@noaa.gov
Lisa Hazard
Southern California Coastal Ocean
Observing System (SCCOOS) and Scripps
Institution of Oceanography
9500 Gilman Drive M/C 0213
La Jolla, CA 92093 USA
lhazard@ucsd.edu
Eoin Howlett
Mid-Atlantic Regional Coastal Ocean
Observing System (MARCOOS)
55 Village Square Drive
South Kingstown, RI 02879 USA
ehowlett@asascience.com
Richard P. Signell
USGS Coastal and Marine Geology Program
384 Woods Hole Rd.
Woods Hole, MA 02543 USA
rsignell@usgs.gov
Derrick Snowden
NOAA Climate Program Office, Climate
Observation Division
1100 Wayne Avenue, Suite 1202
Silver Spring, MD 20910 USA
Derrick.Snowden@noaa.gov
Julie Thomas
Southern California Coastal Ocean
Observing System (SCCOOS) and Scripps
Institution of Oceanography
9500 Gilman Drive M/C 0214
La Jolla, CA 92093 USA
jothomas@ucsd.edu
OceanObs’09 Community White Paper Proposal
Description
The US Integrated Ocean Observing System (IOOS®), its regional coastal ocean
observing partners, and the Australian Integrated Marine Observation System
propose to submit a Community White Paper to the OceanObs2009 conference.
Topics to be considered include:
-
-
-
-
-
-
Data management consists primarily of the system (or network of systems)
for publishing, acquisition, storage, registration and permanent archiving of
data collections, The operations within a robust data management system
should be tested, reliable, scalable and secure. National efforts to integrate
and standardize data management mechanisms will aid in data dissemination
and will ultimately advance research, decision-making, and public awareness
of Earth observations.
A distinction can be made between information management and data
management. Information management is the process by which data
becomes useful to decision makers, and includes the mechanisms for
discovering and utilizing data and metadata, optimized methods for
disseminating data, and the generation and presentation of useful products.
Information management facilitates the transition from content (data) to
knowledge.
Data management infrastructure now being established by the NOAA IOOS
Data Integration Framework (DIF) project, consists of:
o Open Geospatial Consortium (OGC) Sensor Observation Service for
in situ data.
o OpenDAP/CF(Climate and Forecast) Service, OGC Web Coverage
Service and NetCDF Subset Service for gridded satellite data and
model output.
o OGC Web Map Service for images of data.
o Planned work on Registry, Catalog, discovery metadata, sensor
metadata, Quality Assurance/Quality Control (QA/QC) metadata.
o Controlled QA/QC process for both real-time and comprehensive
delayed mode data.
o Customer and client applications.
The respective roles of the OPeNDAP/CF Service and OGC Web Services.
Regional and national service agreements to promote interoperability.
Linking ocean observing systems into the broader Global Earth Observing
System of Systems (GEOSS).
How we can more effectively collaborate across various national efforts to
achieve globally networked information exchange.
Are data management and distribution problems in coastal ocean
observations communities fundamentally different than the global climate
oriented efforts? The coastal community lacks a unifying body like the World
Meteorogical Organization (WMO) and the WMO Global Telecommunications
System, yet the world’s coasts are home to most of the world’s population.
Integration of model predictions with Geographic Information System (GIS)
information (e.g., physical observed fields to natural resources observations):
challenges and needs.
Infrastructure needs to support observational, model prediction and analysis
need for decision support from the local to global scale.
Observations are key both for validating model predictions and for
assimilation to minimize errors in the next hindcast or predictive cycle.