Lake Erie Hypoxia Monitoring Data from Fixed Moorings Since 2017

Underwater sensor moorings deployed across the central basin of Lake Erie since 2017 collect in situ data for parameters including water temperature, dissolved oxygen, current speed, and chlorophyll at hourly or sub-hourly intervals. The data supports the development of hypoxia hindcast and forecast models. This research is funded by NOAA and conducted by the Great Lakes Environmental Research Laboratory and the University of Michigan.

Use Cases

• Developing hypoxia forecast models based on high-frequency dissolved oxygen and temperature data.
• Analyzing spatial patterns of low-oxygen events based on data from an array of fixed moorings.
• Studying relationships between nutrient levels (e.g., phosphorus) and biological indicators like chlorophyll and phycocyanin.
• Validating remote sensing or hydrodynamic models with in situ measurements of water current speed and direction.

Strengths

• Data collection began in 2017, providing multiple years of seasonal observations.
• Includes a broad suite of physical, chemical, and biological parameters (e.g., dissolved oxygen, pH, turbidity, phosphorus).
• High temporal frequency data collected at hourly or sub-hourly intervals.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and exact spatial coverage per mooring are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory and the Cooperative Institute for Great Lakes Research, University of Michigan.

Collection Method

Data collected from an array of fixed underwater sensor moorings deployed during summer seasons.

Time Range

Since 2017 (summer seasons).

Geography

Central basin of Lake Erie, Great Lakes region.