AS43A:
Climate Data in the Great Lakes: Exploring Integration and Cooperation in a Binational Region

Submit an Abstract to this Session

Session ID#: 6173

Session Description:
Hydrometeorological observations and projections are of critical importance to many scientific and societal interests, from weather forecasting and emergency management to regional planning and climate change adaptation. This is particularly true in the region surrounding the Laurentian Great Lakes in Canada and the United States. This bi-national region is home to twenty-one percent of the world’s surface fresh water, some of North America’s largest metropolitan areas, and the presence of complex physical processes forced by the Lakes. Due to the federal, state, provincial, and local nature of many observing networks and modeling efforts, the spatial and temporal resolution of these data are often inconsistent and not readily accessible to cross-border parties. This session proposes to explore and highlight completed, ongoing, and proposed efforts that focus on increased integration and accessibility of bi-national hydrometeorological observations and projections in the Great Lake region.
OSPA Liaison:  William J Baule, University of Michigan, Great Lakes Integrated Sciences + Assessments, Ann Arbor, MI, United States
Chairs:  William J Baule, University of Michigan, Great Lakes Integrated Sciences + Assessments, Ann Arbor, MI, United States and Al Douglas, MIRARCO/Laurentian University, Ontario Centre for Climate Impacts and Adaptation Resources, Sudbury, ON, Canada
Primary Convener:  William J Baule, University of Michigan, Great Lakes Integrated Sciences + Assessments, Ann Arbor, MI, United States
Convener:  Al Douglas, MIRARCO/Laurentian University, Ontario Centre for Climate Impacts and Adaptation Resources, Sudbury, ON, Canada
Index Terms:

1637 Regional climate change [GLOBAL CHANGE]
1916 Data and information discovery [INFORMATICS]
1930 Data and information governance [INFORMATICS]
Co-Sponsor(s):
  • H - Hydrology

Abstracts Submitted to this Session:

AS43A-01
A Comparison of GCM and RCM resolution Climate Projections in the Great Lakes - Effort, Efficiency, Uncertainty Considerations (Invited) (34225)
Neil Comer, Risk Sciences International (RSI), Ottawa, ON, Canada
AS43A-02
Dynamically Downscaled Projections of Lake-Effect Snow in the Great Lakes Basin (34906)
Michael Notaro1, Val Bennington1 and Stephen J Vavrus2, (1)University of Wisconsin-Madison, Madison, WI, United States, (2)Univ Wisconsin, Madison, WI, United States
AS43A-03
Probabilistic Climate Change Projections for the Great Lakes Basin Using a High-Resolution Regional Climate Model Ensemble (33367)
Xander Wang and Gordon Huang, Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, SK, Canada
AS43A-04
Seasonal and Interannual Variability of Great Lakes Climate and Ice Cover: From Research to Forecast (33058)
Jia Wang, NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States, Xuezhi Bai, CILER, University of Michigan, Ann Arbor, MI, United States, Haoguo Hu, CIGLR, University of Michigan, Ann Arbor, United States and Ayumi Fujisaki-Manome, Cooperative Institute for Great Lakes Research, Ann Arbor, MI, United States; University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, United States
AS43A-05
Development of a reference potential evapotranspiration climatological dataset for the Great Lakes region (Invited) (33464)
Jeff Andresen, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, United States, Michael T. Kiefer, Michigan State University, Geography, East Lansing, MI, United States and Dana Doubler, Blue Water Satellite, Inc., Toledo, OH, United States
AS43A-06
Quantifying Uncertainties in Wind Atlases (36486)
Paula Doubrawa1, Rebecca J Barthelmie1, Sara C. C Pryor2, Merete Badger3 and Hui Wang4, (1)Cornell University, Ithaca, NY, United States, (2)Cornell University, Department of Earth and Atmospheric Sciences, Ithaca, NY, United States, (3)Technical University of Denmark, Lyngby, Denmark, (4)China University of Mining & Technology(Beijing), Beijing, China
AS43A-07
Best Practices for Data Management to Enhance Binational Availability: GLOS and GEOSS-GL (Invited) (35019)
Theodore A,D, Slawecki, LimnoTech, Ann Arbor, MI, United States, Kelli Paige, Great Lakes Observing System, Ann Arbor, MI, United States and John D Lenters, University of Michigan Biological Station, Ann Arbor, United States
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