Great Lakes Glider Profile Data for Temperature and Salinity

Physical trajectory profile data from the glider Gichigami, deployed by the University of Minnesota - Duluth Large Lakes Observatory. The dataset contains oceanographic measurements of temperature, conductivity, salinity, and density collected in the Great Lakes. Data was gathered from July 14 to July 21, 2017, and archived by NOAA's National Centers for Environmental Information.

Use Cases

• Analyze water column stratification by modeling temperature and density profiles against depth and time.
• Map spatial variations in salinity and conductivity across the glider's trajectory in the Great Lakes.
• Correlate physical property measurements like temperature and density to identify water mass boundaries.
• Validate hydrodynamic models using in-situ time-series data for temperature and salinity from a specific deployment period.

Strengths

• Data covers a specific 8-day deployment period from July 14-21, 2017.
• Includes multiple core physical oceanographic variables: temperature, conductivity, salinity, and density.
• Data underwent quality checks for netCDF convention compliance by the IOOS National Glider Data Assembly Center.

Limitations

• Sample size and row count are unknown, limiting statistical assessment.
• Temporal coverage is limited to one week, preventing analysis of seasonal trends.
• Geographic scope is confined to the specific trajectory of a single glider deployment.

Provenance

Source

University of Minnesota Duluth - Large Lakes Observatory, via NOAA NCEI.

Collection Method

Gathered by a Slocum glider deployment, funded by the Great Lakes Observing System (GLOS).

Time Range

2017-07-14 to 2017-07-21

Freshness

Data is from 2017; not updated.

Geography

Great Lakes