Fall 2017 eNewsletter

Fall CIGLR Announcements

2017 CIGLR Postdoctoral Fellow

CIGLR is pleased to announce the recipient of the 2017 CIGLR Postdoctoral Fellowship!

Yuanyuan Jia working with her Great Lakes remote sensing data.

Yuanyuan Jia is completing her postdoctoral fellowship research at the Ohio State University (OSU) School of Earth Sciences, working with C.K. Shum at OSU and Philip Chu at NOAA GLERL. During her 2-year fellowship, she is investigating the use satellite data to complement the Great Lakes Observing System (GLOS) and improve the forecast reliability of the Great Lakes Operational Forecasting System (GLOFS). Yuanyuan received her M.S. and Ph.D. degrees in Geodetic Sciences from the Ohio State University.

The CIGLR Postdoctoral Fellowship program provides salary and research support for early-career researchers to work closely with CIGLR University Partners and GLERL scientists on a project of mutual interest. The competitive call for 2018 proposals will be issued in October 2017. More information is available on the CIGLR website.






CIGLR Annual Partners Meeting

More than 60 scientists from the CIGLR Research Institute, CIGLR Regional Consortium, and NOAA GLERL will convene on September 26 to coordinate research goals and foster new research collaborations. As a kick off of the new CIGLR, the 1-day meeting will include overviews of major ongoing research programs at NOAA GLERL and CIGLR, 3-minute “lightning” presentations summarizing Regional Consortium members’ expertise and infrastructure, presentations and discussions that identify Great Lakes research needs, and opportunities to form new research teams. The meeting will be held at NOAA GLERL and closed to the public.

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The CIGLR Regional Consortium of over 40 institutions and organizations expands NOAA’s access to research expertise and infrastructure across the Great Lakes basin.

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Nine University Partner institutions have committed to support research at NOAA GLERL by providing their research infrastructure (research vessels, labs) and intellectual capacity at uniformly-low research costs across the Great Lakes basin.