Great Lakes Glider Trajectory Data With Temperature And Salinity Profiles

Great Lakes physical oceanographic data collected by a Slocum glider deployed by the University of Minnesota Duluth's Large Lakes Observatory. The dataset contains measurements of temperature, conductivity, salinity, and density from a single deployment between May 4 and May 13, 2016. Data were processed and preserved by the Integrated Ocean Observing System's National Glider Data Assembly Center and NOAA's National Centers for Environmental Information.

Use Cases

• Model thermal stratification in the Great Lakes using depth-profiled temperature data.
• Analyze salinity gradients and freshwater density variations from conductivity and density measurements.
• Map the three-dimensional trajectory of the glider to study spatial patterns in water properties.
• Validate hydrodynamic models by comparing simulated temperature and salinity profiles against observed glider data.

Strengths

• Data covers a specific 10-day deployment period from May 4 to May 13, 2016.
• Includes core physical oceanographic variables: temperature, conductivity, salinity, and density.
• Processed and quality-checked for netCDF compliance by the IOOS National Glider Data Assembly Center.

Limitations

• Dataset represents a single, short-term glider deployment, limiting temporal analysis.
• Spatial coverage is confined to the specific trajectory path within the Great Lakes during the deployment.
• Row count and sample resolution are unknown, preventing assessment of data density.

Provenance

Source

University of Minnesota Duluth - Large Lakes Observatory, via IOOS National Glider Data Assembly Center and NOAA NCEI.

Collection Method

Measurements gathered by a Slocum glider, aggregated into a netCDF file.

Time Range

2016-05-04 to 2016-05-13

Freshness

null

Geography

Great Lakes