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Undersea data network planned off Calif. coast

September 25, 2002 12:00 PM ET

IDG News Service - The tech industry is taking a dive, and not just in the stock market. The National Science Foundation (NSF) announced yesterday that it has awarded grants to build an underwater data network off the coast of Monterey, Calif., for oceanographic research.
The network, dubbed the Monterey Accelerated Research System (MARS), will consist of underground cables and docking stations that will be used to power and provide high-speed data links to oceanographic devices, the NSF said.
While data links and electrical power are plentiful aboveground, the NSF said doing underwater research has been no easy chore, since information could be gathered only during intermittent ship cruises or using temporary, battery-powered devices. With the MARS network in place, researchers hope to be able to use underwater plug-and-play devices.
The network will be built during the next three years by a team of oceanographers from the Monterey Bay Aquarium Research Institute, the University of Washington, the Jet Propulsion Laboratory and the Woods Hole Oceanographic Institution, all of which have received NSF awards to complete the project.
The first stage of the project will consist of 40 miles of submarine cable and a science node 4,000 feet below the ocean surface, the NSF said. The node will have four docking stations and will be able to provide oceanographic instruments with 10 kilowatts of power.
In addition to aiding oceanographic research in the area, MARS will also serve as a testing ground for a more ambitious project called Neptune, the NSF added. Neptune will entail thousands of miles of underground cables and dozens of monitoring stations, stretching from Northern California to Vancouver Island.
The large-scale network, which will cover an area where oceanic and continental plates collide, will be used to study earthquake and tsunami risks, as well as global tectonic processes.


Reprinted with permission from

IDG.net
Story copyright 2009 International Data Group. All rights reserved.

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