HR: 1330h
AN: OS43A-05    [Abstracts]
TI: Near Real-Time Ocean Observations Online: Data Management within the Southeast Atlantic Coastal Ocean Observation System (SEACOOS)
AU: * Purvis, C
EM: cpurvis@sc.edu
AF: University of South Carolina, Baruch Institute, Columbia, SC 29208 United States
AU: Cothran, J
EM: jcothran@asg.sc.edu
AF: University of South Carolina, Baruch Institute, Columbia, SC 29208 United States
AU: Donovan, J
EM: jeff@seas.marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Fletcher, M
EM: fletcher@sc.edu
AF: University of South Carolina, Baruch Institute, Columbia, SC 29208 United States
AU: Haines, S
EM: sara_haines@unc.edu
AF: University of North Carolina at Chapel Hill, Department of Marine Sciences 12-7 Venable Hall, CB&35; 3300, Chapel Hill, NC 27599 United States
AU: Helber, R
EM: helber@seas.marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Hu, C
EM: hu@seas.marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Kearns, E
EM: ekearns@rsmas.miami.edu
AF: University of Miami, Rosenstiel School of Marine and Atmospheric Science 4600 Rickenbacker Cswy, Miami, FL 33189 United States
AU: Muller-Karger, F
EM: carib@seas.marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Murch, B
EM: bmurch@seas.marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Nelson, J
EM: nelson@skio.peachnet.edu
AF: Skidaway Institute of Oceanography, 10 Ocean Science Circle, Savannah, GA 31411 United States
AU: Porter, D
EM: dporter@inlet.geol.sc.edu
AF: University of South Carolina, Baruch Institute, Columbia, SC 29208 United States
AU: Seim, H
EM: hseim@email.unc.edu
AF: University of North Carolina at Chapel Hill, Department of Marine Sciences 12-7 Venable Hall, CB&35; 3300, Chapel Hill, NC 27599 United States
AU: Subramanian, V
EM: vembu@marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Taylor, J
EM: jtaylor@seas.marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Weisberg, R
EM: weisberg@marine.usf.edu
AF: University of South Florida, Institute for Marine Remote Sensing/IMaRS University of South Florida 140 7th Ave. South, St Petersburg, FL 33701 United States
AU: Williams, E
EM: ewilliams@rsmas.miami.edu
AF: University of Miami, Rosenstiel School of Marine and Atmospheric Science 4600 Rickenbacker Cswy, Miami, FL 33189 United States
AB: Even though a picture can speak a thousand words, can it meaningfully represent millions of near real-time ocean data observations from a variety of data sources? It is within the SEACOOS online observation portal that SEACOOS partners and affiliates coordinate and integrate disparate datasets into an interactive geographic information system (GIS). SEACOOS partners and affiliates contribute to a centralized data repository by providing both in-situ and remotely sensed data in a standard format. These data are aggregated, processed, and normalized to provide a view of information ranging from near real-time in-situ wind and sea surface temperature data to near real-time remotely sensed products, including sea-surface temperature, ocean color, and true color images. The coordination of disparate datasets, namely their respective temporal and spatial resolutions, was made possible by the use of relational databases and other technologies. Open source software solutions are well suited for the database normalization back-end tasks as well as the core GIS functions at the front-end. In addition to typical GIS mapping functionality, the online observation portal includes animation capabilities, robust point data and raster data querying capabilities, and time-series graphing utilities. Refining the interface to meet both general and specific user needs remains an ongoing process, but the modularity of the existing tools within the portal provides an exceptional foundation on which to build.
UR: http://www.seacoos.org
DE: 4200 OCEANOGRAPHY: GENERAL
DE: 4294 Instruments and techniques
DE: 4299 General or miscellaneous
SC: Ocean Sciences [OS]
MN: 2005 Joint Assembly