NOAA Great Lakes Environmental Research Laboratory

The latest news and information about NOAA research in and around the Great Lakes


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“Just Because the Blooms in Lake Erie Slow Down, Doesn’t Mean We Do”

NOAA GLERL harmful algal blooms research program featured on Detroit Public Television

As part of a series on The Blue Economy of the Great Lakes, NOAA’s Great Lakes Environmental Research Laboratory (GLERL) is featured in a short video, produced by Detroit Public Television (DPTV) and published on the DPTV website. The video, which features GLERL and its partners from the Cooperative Institute for Great Lakes Research (CIGLR, known formerly as CILER), describes the advanced technology GLERL uses to monitor, track, predict, and understand harmful algal blooms (HABs) in the Great Lakes. More specifically, the video focuses on efforts in Lake Erie, where over 400,000 people were affected by a 3-day shutdown of the Toledo drinking water treatment facility in 2014. Since then, GLERL and CIGLR have enhanced their HABs research program—much of which is made possible by funding from the Great Lakes Restoration Initiative, or GLRI—to include cutting-edge technologies such as the hyperspectral sensors and an Environmental Sample Processor (ESP), as well as experimental forecasting tools like the Lake Erie HAB Tracker.

In addition to online coverage, the video will be broadcast via DPTV at a future time, yet to be determined.

View the video above, or visit http://bit.ly/2pK2g0J.

Aerial photo survey improves NOAA GLERL’s Lake Erie ice model

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Understanding the duration, extent, and movement of Great Lakes ice is important for the Great Lakes maritime industry, public safety, and the recreational economy. Lake Erie is ice-prone, with maximum cover surpassing 80% many winters.

Multiple times a day throughout winter, GLERL’s 3D ice model predicts ice thickness and concentration on the surface of Lake Erie. The output is available to the public, but the model is under development, meaning that modelers still have research to do to get it to better reflect reality.

As our scientists make adjustments to the model, they need to compare its output with actual conditions so they know that it’s getting more accurate. So, on January 13th of this year, they sent a plane with a photographer to fly the edge of the lake and take photos of the ice.

The map below shows the ice model output for that day, along with the plane’s flight path and the location of the 172 aerial photos that were captured.

NOAA GLERL Lake Erie ice model output with all aerial photo survey locations -- January 13, 2017. Credit NOAA GLERL/Kaye LaFond.

NOAA GLERL Lake Erie ice model output with all aerial photo survey locations — January 13, 2017. Map Credit NOAA GLERL/Kaye LaFond.

These photos provide a detailed look at the sometimes complex ice formations on the lake, and let our scientists know if there are places where the model is falling short.

Often, the model output can also be compared to images and surface temperature measurements taken from satellites. That information goes into the GLSEA product on our website (this is separate from the ice model). GLSEA is useful to check the ice model with. However, it’s important to get this extra information.

“These photographs not only enable us to visualize the ice field when satellite data is not available, but also allow us to recognize the spatial scale or limit below which the model has difficulty in simulating the ice structures.” says Eric Anderson, an oceanographer at GLERL and one of the modelers.

 “This is particularly evident near the Canadian coastline just east of the Detroit River mouth, where shoreline ice and detached ice floes just beyond the shoreline are not captured by the model. These floes are not only often at a smaller spatial scale than the model grid, but also the fine scale mechanical processes that affect ice concentration and thickness in this region are not accurately represented by the model physics.”

Click through the images below to see how select photos compared to the model output. To see all 172 photos, check out our album on Flickr. The photos were taken by Zachary Haslick of Aerial Associates.

This gallery contains 10 photos


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Arrival of wave GLIDER SV2 platforms to expand GLERL data collection capacity in the Great Lakes

Left and bottom right: OSAT staff learning the ropes on the Wave GLIDER SV2 during a three-day training in Kawaihae, Hawaii. Top right: CILER’s Russ Miller (left) and GLERL’s Kyle Beadle (right) work in GLERL’s laboratory to prepare the newly acquired Wave GLIDERS for deployment.

GLERL’s OSAT (Observing Systems and Advance Technology) team, in collaboration with the Michigan Technological University’s (MTU) Great Lakes Research Center, is preparing to deploy the Wave GLIDER SV2 to expand its monitoring capacity in the Great Lakes. The Wave GLIDER functions as an autonomous surface vehicle that uses wave energy propulsion and communicates via Iridium satellite, providing real-time data back to users. This wave powered vehicle can be fitted with numerous instruments to collect data on a variety of physical characteristics of the lakes, including: waves, CTD (conductivity, temperature, depth), and currents. These data can be used for remote sensing algorithm validation. With the instrumentation on board, the Wave GLIDER  can continuously run transects throughout much of the year in all Great Lakes weather conditions and can be piloted and monitored by researchers at GLERL.

The two Liquid Robotics-designed Wave Glider SV2 platforms, to be deployed in the upcoming field season ,were surplused to GLERL by NOAA’s National Data Buoy Center (NBDC) in FY 2016. To ensure safe and reliable operation of these persistent, autonomous data collection platforms, Steve Constant and Steve Ruberg participated in a three-day training in Kawaihae, Hawaii at the Liquid Robotics Training Center this past January. They were accompanied by colleagues Russ Miller (Cooperative Institute for Limnology and Ecosystems Research (CILER)), Jamey Anderson (MTU), and Chris Pinnow (MTU). The training focused on instrument assembly, care, programming, piloting, and deployment and retrieval of the newly acquired wave glider units.

The vehicles, as currently configured, will be used for real-time observations supporting commercial shipping and validation of operational forecasts and satellite remote sensing products. Future applications include mapping of hypoxic zones impacting drinking water and acoustic fisheries parameters in U.S. coastal and Great Lakes regions.