DocumentCode
393155
Title
A coastal ocean observing system and modeling program for the West Florida Shelf
Author
Weisberg, Robert ; He, Ruoying ; Luther, Mark ; Walsh, John ; Cole, Rick ; Donovan, Jeff ; Merz, Cliff ; Subramanian, Vembu
Author_Institution
Coll. of Marine Sci., Univ. of South Florida, St. Petersburg, FL, USA
Volume
1
fYear
2002
fDate
29-31 Oct. 2002
Firstpage
530
Abstract
The Coastal Ocean Monitoring and Prediction System (COMPS) is a real-time, web-based (http://comps.marine.usf.edu) coastal ocean observing and modeling system for the west coast of Florida. COMPS observations consist of coastal and offshore stations, each with in-situ ocean and air-sea interaction measurements. Some of these stations are maintained by the University of South Florida and others are maintained by various local, state and federal agencies. Our web-site imports and serves all available real-time data. The COMPS array also provides a backbone for process experimentation, inclusive of other non-realtime data sets, and it is supported by a numerical circulation modeling program for process experiment hindcasts and for nowcasts and forecasts. Through this coordinated program of in-situ measurements and models we are making headway in understanding material property distributions on the West Florida Shelf and how these impact shelf ecology. The COMPS in situ data and modeling program and some of its principal scientific findings are discussed. Based on these we provide recommendations on a basic set of measurements for future integrated sustained coastal ocean observing systems.
Keywords
oceanographic equipment; oceanographic regions; oceanographic techniques; COMPS; Gulf of Mexico; USA; United States; West Florida Shelf; air-sea interaction; circulation; coast; coastal ocean observing system; current; dynamics; measurement technique; model; modelling; ocean; real-time; web-based observing system; west coast; Biological system modeling; Coordinate measuring machines; Material properties; Monitoring; Numerical models; Oceans; Predictive models; Real time systems; Sea measurements; Spine;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '02 MTS/IEEE
Print_ISBN
0-7803-7534-3
Type
conf
DOI
10.1109/OCEANS.2002.1193324
Filename
1193324
Link To Document