Datasetamelia-20200825T1929
Glideramelia
StatusCompleted
SummaryThis project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better
resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to
making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and
Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA,
CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of
Oceanography, University of Delaware, Virginia Institute of Marine Science - William & Mary, and Rutgers University. The goal of
the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is
supported by the Disaster Recovery Act. The glider was deployed out of Virginia Beach, VA over the mid-shelf region of the
southern Mid-Atlantic Bight and will transect offshore to the shelf break 75 km south of Norfolk Canyon. The glider will then
head northward toward Norfolk Canyon, then toward an inshore point at about 35 meters depth in between Norfolk and Washingont
Canyons, then head toward the shelfbreak north of Washington Canyon. The triangle pattern between Norfolk Canyon south, 35 m
isobath, and Washington Canyon north will then repeat. This real-time dataset contains CTD measurements from a RBRlegato3
inductive CTD
WMO ID4801934
AttributionNOAA, United States Navy, IFAA, OAR, AOML
Time Coverage Start2020-08-25 19:59:18 UTC
Time Coverage End2020-09-25 14:32:48 UTC
Registered2020-08-26
Deployed2020-08-25
OperatorVirginia Institute of Marine Science - William & Mary
InstitutionVirginia Institute of Marine Science - William & Mary
Data Providerrutgers
# Profiles2166
Days Deployed31
BBox North37.354
BBox South36.335
BBox East-75.36
BBox West-74.444
Maps
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Latest Profiles
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Latest Timeseries
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Synoptic Timeseries
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