New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources ManagementSource: Journal of Water Resources Planning and Management:;2019:;Volume ( 145 ):;issue: 006Author:Lacey A. Mason
,
Andrew D. Gronewold
,
Michael Laitta
,
David Gochis
,
Kevin Sampson
,
Laura Read
,
Erika Klyszejko
,
Judy Kwan
,
Lauren Fry
,
Kimberly Jones
,
Peter Steeves
,
Alain Pietroniro
,
Mike Major
DOI: 10.1061/(ASCE)WR.1943-5452.0001073Publisher: American Society of Civil Engineers
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.
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contributor author | Lacey A. Mason | |
contributor author | Andrew D. Gronewold | |
contributor author | Michael Laitta | |
contributor author | David Gochis | |
contributor author | Kevin Sampson | |
contributor author | Laura Read | |
contributor author | Erika Klyszejko | |
contributor author | Judy Kwan | |
contributor author | Lauren Fry | |
contributor author | Kimberly Jones | |
contributor author | Peter Steeves | |
contributor author | Alain Pietroniro | |
contributor author | Mike Major | |
date accessioned | 2019-09-18T10:39:34Z | |
date available | 2019-09-18T10:39:34Z | |
date issued | 2019 | |
identifier other | %28ASCE%29WR.1943-5452.0001073.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4259924 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources Management | |
type | Journal Paper | |
journal volume | 145 | |
journal issue | 6 | |
journal title | Journal of Water Resources Planning and Management | |
identifier doi | 10.1061/(ASCE)WR.1943-5452.0001073 | |
page | 06019004 | |
tree | Journal of Water Resources Planning and Management:;2019:;Volume ( 145 ):;issue: 006 | |
contenttype | Fulltext |