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Projects

Projects

GLOS projects support science, policy, management, and industry in the Great Lakes. When picking projects, we’re guided by our priorities.

Straights of Mackinac

Current Projects

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Supporting the Great Lakes Bottom Mapping Working Group

The Great Lakes Bottom Mapping Working Group (BMWG) was formed in 2016 to facilitate the collection, harmonization, sharing, and use of continuous high-resolution maps and data about Great Lakes bathymetry, habitat, maritime cultural resources, and biology.

Funded and co-led by the U.S. Geological Survey, the working group is a collaborative effort to promote communication and collaboration among data providers and users. The group facilitates access to data, promotes the use of technical standards for mapping and habitat classification, and prioritizes regional mapping needs.

GLOS is a member of the core team.

Aerial view of the algae bloom in Lake Erie
Aerial view of the algae bloom in Lake Erie

Building an Operational Lake Erie Harmful Algal Blooms Early Warning System

In Lake Erie, harmful algal blooms (HABs) typically begin as nutrient-rich water from the Maumee River drains into the warm, shallow western part of the lake. These conditions enable the growth of a type of algae that creates a toxin called microcystin. In 2014, such a bloom caused the microcystin levels in Toledo tap water to exceed what is recommended by the World Health Organization, triggering a two-day “Do Not Drink” advisory.

Thanks to a grant through the IOOS Ocean Technology Transition project, GLOS and partners built up an early warning system (EWS) that will help to address what is increasingly becoming a regional health and safety concern.

Lorelle and Guy Meadows inspect high frequency radar from the Straights of Mackinac
Lorelle and Guy Meadows inspect high frequency radar from the Straights of Mackinac

Funding High Frequency Radar in Straits of Mackinac

(Left to right) Dr. Lorelle Meadows and Dr. Guy Meadows, both researchers at Michigan Technological University, are spearheading the project, including the installation of the radar units.

Those seeking to monitor currents in the Straits of Mackinac will soon have high-quality data at their fingertips thanks to one of GLOS’ latest projects. By securing a NOAA grant, GLOS is funding the purchase of a high frequency radar system that will give detailed information on water currents through the narrow straits.

GLADS Screenshot
GLADS Screenshot

Validating and Expanding the Great Lakes Adaptation Data Suite (GLADS)

GLOS funded work at the Great Lakes Integrated Sciences and Assessments (GLISA) program in developing a consistent Great Lakes Climate Adaptation Suite (GLADS) that would serve as a tool for understanding our changing climate. This work is being expanded as GLISA works to incorporate GLADS into their widely-used climatologies, or summaries of observational data, and will also include incorporating future climate projections into their models.

GLOS hosts and maintains this data for public access to enable:

  • More accurate Great Lakes climate data based on real-time Great Lakes observation data.
  • Making that data more accessible to city managers and decision-makers.
Recovering a buoy in South Green Bay onto a boat
Recovering a buoy in South Green Bay onto a boat

Nearshore Observations Network

This partner network operates key observing platforms and modeling improvements vital to the Great Lakes. 

Platforms include an array of integrated nearshore observing buoys that provide continuous, real-time observations on wind, wave, temperature, and currents along with expanded water quality analysis. Mobile observing platforms, including a glider and autonomous underwater vehicles, provide detailed, three-dimensional observations of thermal structure, and ecological processes throughout each of the Great Lakes. 

Observations include surveys focused on understanding harmful algal blooms, impacts of invasive species, and coastal nutrient inputs. Observational activities are tailored to local user-driven needs and the needs of the broader Great Lakes region.

Partners include University of Minnesota-Duluth, Michigan Technological University, University of Wisconsin-Milwaukee, State University of New York, NOAA GLERL, Cooperative Institute for Limnology and Ecosystems Research.

Two people working at a computer
Two people working at a computer

Enabling Ontario’s Conservation Authorities (CAs) to Make Data Discoverable and Accessible

Authorities collect, store and analyze environmental data employing a variety of observational and remote sensing systems such as ground and surface water monitoring networks, climate stations, and GIS systems.

To date, most of these data have been collected and used internally—shared only with project partners in an on-demand fashion and typically not accessed by U.S. entities. This project enables CAs to make these data discoverable, accessible and available by assisting with their inventory, assessment and preparation. Specific outcomes are an assessment of existing and potential data end-users and data products, making data available through GLOS, and development of tools to assist end-users in utilizing newly available data.

Partners include Conservation Ontario, North Bay-Mattawa Conservation Authority, Quinte Conservation Authority, Lake Simcoe Region Conservation Authority, Grand River Conservation Authority Conservation

Contact: Rick Wilson, Information Management Coordinator, rwilson@conservationontario.ca

Past Projects

Data visualization of the Huron Erie Corridor Oil Spill Model
Data visualization of the Huron Erie Corridor Oil Spill Model

Making the Huron-Erie Corridor safer through a new spill modeling tool

The Huron-Erie Corridor is an area especially vulnerable to
chemical spills from heavy industry. In order to provide water treatment managers with a tool to help make critical decisions during spills, GLOS worked with Michigan Tech Research Institute and NOAA Great Lakes Environmental Research Laboratory to develop a tool that allows users to visualize how spills can travel through the corridor, enabling them to make more informed decisions to ensure drinking water quality.

Great Lakes Beaches: Expanding GLOS Data Services for Sustainable Decision Support in Water Quality

With GLOS data, related services and tools, the University of Wisconsin Sea Grant Institute developed a suite of enhancements to its water quality nowcast models, including the Great Lakes Coastal Forecasting System and the Environmental Data Discovery and Transformation (EnDDaT) web data portal that links data services to the Virtual Beach decision-support software.

Public health officials, staff, and researchers responsible for monitoring, advisory decisions, and/or risk communications at public beaches along the Great Lakes coasts can use these tools to complement the water quality samples at public beaches.

Partners include University of Wisconsin Sea Grant Institute and United States Geological Survey Water Resources Mission Area

Contact: David Hart, Assistant Director of Extension, Wisconsin Sea Grant Institute, dhart@aqua.wisc.edu

Expanding the Great Lakes Telemetry Observation System (GLATOS)

The current Great Lakes Acoustic Telemetry Observation System web (GLATOSweb) data system, developed by GLOS in partnership with the GLFC, was designed to promote discovery of individual telemetry research projects to extend their effective range, but it does not provide direct access to data or include mechanisms for quality assurance.

This project updates the back-end database design to support more efficient data management and access via GLATOSweb. It ensures compliance with IOOS requirements to establish GLATOS as a fully-integrated augmented transition network node of the national Animal Telemetry Network.

Partners include Great Lakes Fishery Commission (GLFC), Michigan State University, and U.S. Geological Survey.

Contact: Jessica Ives, Great Lakes Fishery Commission, jives@glfc.org

Great Lakes Evaporation Network (GLEN)

The GLEN is composed of five offshore measurement locations. This network operates simultaneously year-round, even through bitter winters, helping us understand the evaporation process that takes place over the Great Lakes.

This project enhances the existing GLEN infrastructure and (together with significantly leveraged support from NOAA and Environment Canada) provides a foundation for new partners to contribute observing assets, modeling tools, and outreach. The project worked to:

    • Maintain and expand the suite of GLEN observations (e.g, observation sites, buoys, and glider deployments).
  • Establish a coordinated data management and communications system through GLOS.
  • Develop new models and tools to synthesize and communicate GLEN data and improve Great Lakes forecasting.

Partners include LimnoTech, University of Colorado-Boulder, Environment and Climate Change Canada, National Oceanic and Atmospheric Administration Great Lakes Environmental Research Lab (GLERL), University of Minnesota-Duluth, Northern Michigan University, University of Michigan, Michigan Technological University

Contact: John Lenters, Consultant, jlenters@mac.com

Hydronamic model for the St. Louis River Estuary and Duluth-Superior Harbor system

Partners: University of Minnesota-Duluth (UMD)

University of Minnesota-Duluth further developed an existing hydrodynamic model of the St. Louis River Estuary/ Duluth-Superior Harbor. The model simulates the impact of meteorology on the St. Louis River Estuary system, producing physically realistic and ground-truthed estimates of currents and thermal structure in the system. Enhancements to the model included the addition of ecosystem and water quality, improvement of the nowcasting capability, and an enhanced web presence for model output. A coordinated water quality and ecosystem monitoring program with project partners (e.g., the extensive network of academic, state, federal, tribal, commercial, and non-profit groups who all have a stake in the Harbor-Estuary system) will help to ground the model in truth.

Contact: Jay Austin, University of Minnesota, Duluth, jaustin@d.umn.edu

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