Gridded Snowmelt and Rainfall-Runoff CWMS Hydrologic Modeling of the Red River of the North Basin
Publication: Journal of Hydrologic Engineering
Volume 11, Issue 2
Abstract
In order to reduce future flood damage in the Red River of the North Basin, the U.S. Army Corps of Engineers, St. Paul District, is developing a Corps Water Management System (CWMS) to assist in real-time operation of reservoirs to regulate reservoir outflows. This paper presents an application of the distributed snow process model (DSPM) and the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) in gridded snowmelt and rainfall-runoff modeling for reservoir operational forecasting, which is an essential component of the CWMS model. The model setup, calibration, and verification are described. The paper particularly focuses on information requirements of DSPM and HEC-HMS for model setup/calibration and continuing forecast operations and shows how these requirements could be met in a practical and operational setting. Elements of the modeling process that are important for operational forecasting are discussed and are expected to benefit similar CWMS operational forecasting in other watersheds both in cold and warm regions.
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Acknowledgments
This study was supported by the U.S. Army Corps of Engineers, St. Paul District, under Contract No. UNSPECIFIEDDACW37-00-D-0001. The writers thank Dr. Steven Daly of the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory for his significant contribution to the snow process modeling. The writers could not have undertaken the project without the essential help of the Hydrology and Hydraulics Section of the U.S. Army Corps of Engineers, St. Paul District, and the Hydrologic Engineering Center. Any opinions, findings and conclusions or recommendations expressed in this material are those of the writers and do not necessarily reflect the views of the U.S. Army Corps of Engineers, St. Paul District. The writers thank the reviewers for their constructive comments, which helped to improve the paper.
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© 2006 ASCE.
History
Received: Jun 6, 2003
Accepted: Apr 19, 2005
Published online: Mar 1, 2006
Published in print: Mar 2006
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