Maximization of Historical Storm Events over Seven Watersheds in Central/Southern Sierra Nevada by Means of Atmospheric Boundary Condition Shifting and Relative Humidity Optimization Methods
Publication: Journal of Hydrologic Engineering
Volume 27, Issue 3
Abstract
Estimated extreme precipitation and floods provide crucial information for both the design of large hydraulic structures and water resources management. This study aims to estimate, in a series of numerical experiments, the probable maximum precipitation associated with extreme rain events over seven watersheds in the central/southern Sierra Nevada. To this end, a total of 249 extreme 72-h rainfall events, extracted from the historical reconstructions from 1852 to 2014, were maximized by means of the atmospheric boundary condition shifting (ABCS) method in meridional (north/south) and zonal (north/south and east/west) shift directions. Furthermore, optimization of relative humidity along atmospheric river (AR) corridors was applied to 20 significant storms, which were identified from the ABCS results. The meridional shifting exhibited a significant increase compared to historical conditions, with an additional slight increase by the zonal shifting method. Then, the relative humidity optimization exhibited a further significant increase in precipitation over the seven watersheds. The proposed method can generate numerous events at various shifting quantities and relative humidity intensities along the AR. The selected events can then be used as inputs for hydrologic simulations to estimate probable maximum flood (PMF) events.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
Acknowledgments
This study was partially supported by California Department of Water Resources (Grant No. 4600013419).
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© 2021 American Society of Civil Engineers.
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Received: May 28, 2021
Accepted: Oct 29, 2021
Published online: Dec 27, 2021
Published in print: Mar 1, 2022
Discussion open until: May 27, 2022
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