Coral Reef Early Warning System (CREWS) Network
Entry ID: CREWS-NOAA
Abstract: The CREWS program, as a part of NOAA's Coral Reef Watch and Coral Health And
Monitoring Programs (CHAMP), is designed to collect real time environmental
data from prime coral reef sites throughout the world, analyze patterns and
trends via expert systems (an artificial intelligence technology) and predict
the effects of environmental events on coral reefs such as bleaching, fish and
invertebrate ... spawning and migration. CIMAS researchers working in association
with the CREWS project at the Atlantic Oceanographic Meteorological Laboratory
(AOML) provide expertise to the CREWS knowledge engineer in the configuring of
expert systems which have been designed to analyze the influence of tens of
thousands of permutations of meteorological and oceanographic parameters on the
reef environments. The data are collected at remote stations located in coral
reef areas such as St. Croix, U.S. Virgin Islands and Lee Stocking Island,
Bahamas. These on-site stations record environmental data encompassing but not
limited to atmospheric and sea temperatures, wind speeds and direction,
ultraviolet radiation at the surface and 1 meter depth, tides, salinity, and
barometric pressure. These data are relayed in near real-time hourly intervals
via a GOES satellite transmission and received in encoded format by NOAA's
National Environmental Satellite, Data, and Information Service (NESDIS).
NESDIS makes the recent data available through the Internet. An automated range
checking at AOML validates the received data and formats it for insertion into
the long-term database. The CREWS Integrated Monitoring Network Application
provides the architecture to receive data from multiple sources concurrently,
at the same time servicing query requests from Internet users and automated
computer programs that use the data to produce information synthesis products
(?alerts?) based on the knowledge gleaned from domain experts.
The end users (e.g., researchers, marine sanctuary managers, and the public)
receive high quality, reliable data on demand, advancing the understanding of
coral reefs and their environments.
ISO Topic Category
Berkelmans, R., J.C. Hendee, P.A. Marshall, P.V. Ridd, A.R. Orpin, and D.
Irvine. 2002. Automatic weather stations: Tools for managing and monitoring
potential impacts to coral reefs. Marine Technology Society Journal,
Hendee, J.C., and R. Berkelmans. 2003. Expert system generated coral bleaching
alerts for Myrmidon and Agincourt reefs, Great Barrier Reef, Australia.
Proceedings, 9th International Coral Reef Symposium, Bali, Indonesia, October
23-27, 2000. Indonesian Institute of Sciences, 1099-1104.
Hendee, J.C., G. Liu, A. Strong, J. Sapper, D. Sasko, and C. Dahgren. 2002.
Near real-time validation of satellite sea surface temperature products at
Rainbow Gardens Reef, Lee Stocking Island, Bahamas. Proceedings, Seventh
International Conference on Remote Sensing for Marine and Coastal Environments,
Miami, FL, May 20-22, 2002. Veridian Systems Division, CD-ROM, 9 pp.
Hendee, J.C., E. Mueller, C. Humphrey, and T. Moore. 2001. A data-driven expert
system for producing coral bleaching alerts at Sombrero Reef in the Florida
Keys. Bulletin of Marine Science, 69(2):673-684.
Hendee, J.C. 1998. An expert system for marine environmental monitoring in the
Florida Keys National Marine Sanctuary and Florida Bay. Proceedings, 2nd
International Conference on the Coastal Environment, Cancun, Mexico, September
8-10, 1998. Computational Mechanics Publications/WIT Press, Southampton, 57-66.
Hendee, J.C. 2000. An environmental information synthesizer for expert systems:
A framework for use in near real-time detection of harmful algal blooms.
Proceedings, 17th International Conference of The Coastal Society: Coasts at
the Millennium, Portland, OR, July 9-12, 2000. The Coastal Society, 233-241.
Creation and Review Dates