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David Starr Jordan
STATUS
Operational
AVAILABILITY
Schedules are available through a restricted site. Contact Frank Coluccio at frank.coluccio@noaa.gov, (206) 553-4540, or Operations Division, Marine Operations Center, Pacific, 1801 Fairview Avenue East, Seattle, WA 98102-3767
REQUEST PROCEDURE
http://www.moc.noaa.gov/nf/science/planning.htm
Ships
The David Starr Jordan was built in Sturgeon Bay, Wisconsin in 1964 and commissioned in San Diego, CA, in 1966. The ship was designed and built for the U.S. Bureau of Commercial Fisheries, which later became part of the National Oceanic and Atmospheric Administration, for the purpose of fisheries research in the tropical Pacific. Since commissioning, the David Starr Jordan has logged over a million miles while studying the biological and physical oceanography of the southwestern U.S. coast and the eastern tropical Pacific. The David Starr Jordan is an integral part of the marine mammal surveys conducted by the Protected Resources Division of NMFS Southwest Fisheries Science Center. These surveys include the Stenella Abundance Research Project (STAR), a 3-year study designed to assess the status of dolphin stocks which have been taken as incidental catch by the yellowfin tuna purse-seine fishery in the eastern tropical Pacific. The vessel is operated by NOAA's Office of Marine and Aviation Operations. The ship is named After Dr. David Starr Jordan (1851-1931). Dr. Jordan was one of the best known naturalists and educators of his time.
CONTACT
National Oceanic and Atmospheric Administration
SPECIFICATIONS
Ship TypeFishery Vessel
Operating AreaSouthwestern U.S. coast and the eastern tropical Pacific
Endurance30 days (Stability)
Crusing Speed10 knots (12 Maximum)
Lab SpaceChemical lab- 340 ft², Constant Temperature room- 76 ft², Dry Specimen lab- 72 ft², Hydro lab- 198 ft², Science Information Center- 190 ft², Seawater lab- 182 ft²
Power Availability1068 shp
Berthing Space14 (13 w/ USPHS embarked)
Deck Space
Telemetry AvailableNearly all of the ship's sensors are integrated into the Scientific Computing System (SCS), which allows for centralized data acquisition and logging from numerous sensors with different sampling rates. One central data set of all sensors is logged contin
UPDATED ON
29 Mar 2010 14:39