CREWS/ICON People

  • CREWS/ICON

    NOAA's Coral Reef Early Warning System (CREWS) and Integrated Coral Observing Network (ICON) are two closely related projects that have together amassed a long-term dataset of in situ measurements in the near environments of coral reefs throughout Florida, the Caribbean and the world.  These observations are largely reported in close to real-time via satellite, radio and cellular networks and their data are immediately analyzed using expert systems models to produce useful predictions (termed "ecoforecasts") about ecological conditions that may impact coral reefs.

    The first CREWS station was a buoy installed in the Bahamas in 2001.  Since then, six fixed-pylon stations have been installed in the Bahamas, U.S. Virgin Islands, Puerto Rico, Jamaica, the Cayman Islands and Saipan (U.S. CNMI), with lifetimes spanning the years from 2002 to 2014.  Two collaborative or "hybrid" CREWS stations were installed on land or on marine navigational beacons (2008 to present), and in later years CREWS has been installing buoys in Belize, the Cayman Islands, and Tobago (2013 onwards) with more buoys to come in Barbados and the Dominican Republic.  Early CREWS data were processed by an expert system coded in CLIPS (C Language Integrated Production System).

    Beginning in 2004, the CLIPS expert system was migrated to the more powerful G2 platform produced by the Gensym corporation and began to integrate data from non-CREWS sources including satellite observations, model output and other in situ experiments.  This larger expert system became known as ICON.  Today, the names CREWS and ICON are sometimes used interchangeably although CREWS now more properly refers to the in situ observing platforms and ICON refers to the G2 expert system and the ecoforecasts it produces.

    Please visit our CREWS/ICON People page for details about our team membership.

  • The ICON Project

    The ICON ProjectThe vision of the Integrated Coral Observing Network (ICON) is to serve as a model for all of NOAA in establishing a high quality in situ coral reef monitoring network and for the integration of near real-time in situ, satellite, radar, and other data for ecological forecasting in coral reef ecosystems.

  • The CREWS Network

    The CREWS NetworkCREWS stations collect meteorological and oceanographic measurements that are processed with a suite of expert systems which determine whether the data being received are within a reasonable range, and whether certain environmental conditions are conducive to specific marine behavioral events (e.g., bleaching). 

  • CREWS Blogs

    CREWS BlogsThe basic CREWS instrumentation architecture has evolved over time into a robust package that, combined with a regimen of regular instrument cleaning and recalibration, has yielded a continuous, long-term, high-quality dataset from these harsh marine environments.

  • Data Integration

    Data IntegrationSince 2005, the CHAMP project has developed techniques and software for integrating data from observers, autonomous monitoring stations, satellites, radar, and numerical computer models.

  • Ecoforecasting

    EcoforecastingThe term ecoforecasting as used on this Web site refers to the process of examining multivariate environmental data from many sources in order to forecast or "now-cast" a response to those environmental stimuli within some component of the aquatic ecosystem.

  • Crews Instrumentation

    CREWS InstrumentationThe basic CREWS instrumentation architecture has evolved over time into a robust package that, combined with a regimen of regular instrument cleaning and recalibration, has yielded a continuous, long-term, high-quality dataset from these harsh marine environments.

  • Operational Support

    Operational SupportAOML has worked under the auspices of the NOAA Diving Program and other institutional organizations to develop an innovative approach to the installation of temporary, yet extremely robust, dynamic pylons for purposes of in situ monitoring of environmental conditions that influence coral reef ecoystems.

  • Modeling Onshore Flux

    Modeling Onshore FluxThe CHAMP project has developed an ecoforecast model that seeks to now-cast onshore flux directly, by matching characteristic patterns in physical data on the reef.

  • Champ Portal

    CHAMP PortalThe CHAMP Portal is an online, map-based query tool for accessing oceanographic and meteorological data from the CHAMP database.

  • Crews Data Reports

    CREWS Data ReportsOnline reports from CREWS and SEAKEYS stations are updated hourly and provide at-a-glance tabular summaries of data from all sensors and instruments on these stations.

  • Icon Ecoforecasts

    ICON EcoforecastsThe ICON Ecoforecast page provides ecological forecasts (through artificial intelligence technology) as to the occurrence of specified environmental conditions, as prescribed by modelers, oceanographers and marine biologists.

  • Little Cayman CREWS Station

    Little Cayman CREWS Station Little Cayman CREWS Station posted on YouTube by the Central Caribbean Marine Institute on July 27, 2009.

  • Saipan CREWS Station

    Lao Lao BayA site survey was conducted at Lao Lao Bay, Saipan, on October 19, 2009, for the purpose of identifying the location of a new CREWS station.

  • James C. Hendee, Ph.D.

    James C. Hendee, Ph.D.

    • Director, Ocean Chemistry and Ecosystems Division
    • 305-361-4396
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    Jim Hendee is the Director of the Ocean Chemistry and Ecosystems Division of the Atlantic Oceanographic and Meteorological Laboratory (AOML), an oceanographer with NOAA, and the originator (in 1993) of the Coral Health and Monitoring Program, which includes the Coral-List list-server, the Coral Reef Early Warning System (CREWS), and the Integrated Coral Observing Network. CHAMP has been funded over the years by the Coral Reef Conservation Program (CRCP), the High Performance Computing and Communications (HPCC) office, the NOAA Ocean and Atmospheric Research (OAR) line office, and AOML in Miami, Florida. CHAMP now includes other research projects originated and funded by other personnel such as those found on this web site. Dr. Hendee oversees all the CHAMP operations. Hendee received his B.S. in marine biology from Florida State University, his M.S. in marine biology from the University of Alaska at Fairbanks, and his Ph.D. in Information Systems from Nova Southeastern University.

  • Lewis J. Gramer, Ph.D.

    Lewis J. Gramer, Ph.D.

    • Assistant Scientist
    • 305-361-4554
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    Lew Gramer is a physical oceanographer who completed his Ph.D. at the University of Miami's Rosenstiel School in 2013, while researching environmental data streams and knowledge-based ecological forecasts for CHAMP. He is currently a research associate with CHAMP at AOML-OCED in Miami through the University of Miami's Cooperative Institute, and a postdoctoral researcher at Keys Marine Lab through the Florida Institute of Oceanography. His research focuses on the air-sea and dynamical ocean processes that dominate the physical environment of coral reefs and other shallow marine ecosystems, including horizontal convection, upwelling, mixing, and light attenuation. His current projects include tracking turbidity plumes over reefs in Florida and the Pacific from space, characterizing priority sites for reef resilience and restoration in the Caribbean based on oceanography, and quantifying the impact of upwelling on the physical and chemical environment of corals in southeast Florida. These collaborative, multidisciplinary projects incorporate in situ observations of the ocean and atmosphere, computer modeling, and remote sensing using a variety of platforms. Lew also continues to develop new data sources, analyses, and ecological forecasts for the expanding CREWS network in the Caribbean, and for "virtual stations" (reef sites monitored by remote sensing and reanalysis) around the world.

  • Michael Jankulak, M.S.

    Michael Jankulak, M.S.

    • Systems Administrator
    • 305-361-4543
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    Mike Jankulak provides technical support for ACCRETE, as well as the maintenance and deployment of field instrumentation that report data in near-real-time via satellite relay. Jankulak is also the data manager for all time-series of environmental data of the larger CHAMP program. He received his M.S. from the University of Miami in 2012 for his work on association rule mining for the prediction of rapid intensity changes of tropical cyclones.