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New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources Management

CSS Publication Number
CSS19-59
Full Publication Date
March 22, 2019
Abstract

The authors document the development and testing of a new suite of hydrologic and hydraulic data for the customization of the new National Water Model (NWM) to the Great Lakes basin. The NWM was recently (August 2016) deployed operationally across the United States, including extensions across the international basins of the Columbia and Rio Grande Rivers. In its current configuration the NWM does not extend across the entire Great Lakes basin due to the challenges of reconciling data discontinuities along the United States–Canada border. The new hydrographic data set was developed by harmonizing data from existing sources across the Great Lakes basin, and by leveraging a strong binational partnership between US and Canadian federal agencies and research institutions. The completed hydrographic data set allows the NWM to be customized to the Great Lakes basin, and to be applied to water resources management problems including differentiating drivers behind long-term changes in Great Lakes water levels, forecasting water supplies for regional hydropower management, and understanding the physical processes along the Great Lakes coastline that govern the fate and transport of waterborne pollutants.

Co-Author(s)
Lacey A. Mason
Michael Laitta
David Gochis
Kevin Sampson
Laura Read
Erika Klyszejko
Judy Kwan
Lauren Fry
Kimberly Jones
Peter Steeves
Alain Pietroniro
Mike Major
Research Areas
Water Resources
Publication Type
Journal Article
Digital Object Identifier
https://doi.org/10.1061/(ASCE)WR.1943-5452.0001073
Full Citation

Mason, L. A., Gronewold, A. D., Laitta, M., Gochis, D., Sampson, K., Read, L., Klyszejko, E., Kwan, J., Fry, L., Jones, K., Steeves, P., Pietroniro, A., & Major, M. (2019). New transboundary Hydrographic data set for advancing regional hydrological modeling and water resources management. Journal of Water Resources Planning and Management, 145(6). CSS19-59