Chapter
Jul 8, 2013
Physically Based Maximization of Precipitation over American River Watershed in California
Authors: K. Ishida, S. Jang, N. Ohara, S. Kure, and M. L. KavvasAuthor Affiliations
Publication: World Environmental and Water Resources Congress 2013: Showcasing the Future
Abstract
A 72-hour precipitation in a storm event over the American River Watershed (ARW) in California is maximized using a physically-based numerical model for a regional atmosphere. A storm event over ARW is caused by a high-moisture atmosphere coming from the Pacific Ocean, called "atmospheric river." Moreover, the path of an atmospheric river affects the amount of precipitation over the ARW. Therefore, the contribution of an atmospheric river to 72-hour precipitation over ARW is maximized by spatially shifting the atmospheric conditions for the numerical atmospheric model. In this study, this methodology is applied to the 1997 January storm event, one of the severest storm events over the ARW. Consequently, the 72-hour precipitation is maximized by shifting the atmospheric conditions southward by 6.0 degrees and westward by 1.0 degree, and the maximized value results in 568 mm. The results show that a historical storm event had the capability to cause higher precipitation, and the presented methodology is effective for the estimation of maximum precipitation over the ARW.
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© 2013 American Society of Civil Engineers.
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Published online: Jul 8, 2013
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K. Ishida
Hydrologic Research Laboratory, Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA
S. Jang
Hydrologic Research Laboratory, Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA
N. Ohara
Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, USA
S. Kure
Disaster Potential Study Laboratory, Hazard and Risk Evaluation Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi 980-8579 Japan
M. L. Kavvas
Hydrologic Research Laboratory, Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA
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