• DocumentCode
    375925
  • Title

    Predictions of underwater weather

  • Author

    De Luca, Michael P. ; Grassle, J. Frederick ; McDonnell, Janice M.

  • Author_Institution
    Inst. of Marine & Coastal Sci., Rutgers Univ., New Brunswick, NJ, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    821
  • Abstract
    In 1997, investigators at Rutgers University and the Woods Hole Oceanographic Institution installed a Long-Term Ecosystem Observatory in 15 meters of water (LEO-15) about 10 km off the New Jersey coast. This facility, operated by the Mid-Atlantic Bight National Undersea Research Center as a national littoral laboratory, enables investigators to sample and sense the coastal ocean with a level of precision unmatched by traditional surface-based techniques. Essential elements of the LEO-15 system are the delivery of 12 kVA of electrical power, real-time physical and biological data from chemical, optical, and acoustic sensors, interactive control of observational platforms, and a fleet of autonomous undersea vehicles. This capability, coupled with satellite remote sensing, permits the detection and measurement of episodic and long-term variations in coastal processes not accessible by other methods. Efforts are underway by the Jacques Cousteau National Estuarine Research Reserve to develop LEO-15 into a predictive capability for resource managers to foster informed coastal decision making, and to capitalize on LEO-15 data and technology to enrich K-12 science education
  • Keywords
    oceanographic regions; oceanographic techniques; oceanography; LEO-15; Long-term Ecosystem Observatory; Mid-Atlantic Bight National Undersea Research Center; National Littoral Laboratory; New Jersey; North Atlantic; Rutgers University; WHOI; Woods Hole Oceanographic Institution; autonomous undersea vehicles; coast; electrical power; marine biology; measurement technique; ocean; prediction; predictive capability; underwater weather; Chemical and biological sensors; Chemical elements; Ecosystems; Laboratories; Observatories; Oceans; Real time systems; Sea measurements; Sea surface; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS, 2001. MTS/IEEE Conference and Exhibition
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-933957-28-9
  • Type

    conf

  • DOI
    10.1109/OCEANS.2001.968225
  • Filename
    968225