Technical Papers
Dec 27, 2021

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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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 27Issue 3March 2022

History

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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Authors

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Postdoctoral Researcher, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616; Center for Training and International Cooperation, Vietnam Academy for Water Resources, Hanoi 100000, Vietnam. Email: [email protected]
Yoshihiko Iseri, Aff.M.ASCE [email protected]
Assistant Project Scientist, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616 (corresponding author). Email: [email protected]
Andres J. Diaz [email protected]
Postdoctoral Researcher, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616. Email: [email protected]
Ph.D. Candidate, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616. ORCID: https://orcid.org/0000-0002-9245-3925. Email: [email protected]
Michael L. Anderson, M.ASCE [email protected]
State Climatologist, California Dept. of Water Resources, Hydrology and Flood Operations Office, 3310 El Camino Ave., Sacramento, CA 95821. Email: [email protected]
M. Levent Kavvas, F.ASCE [email protected]
Distinguished Professor, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616. Email: [email protected]

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Cited by

  • Response of Precipitation Increases to Changes in Atmospheric Moisture and Its Flux in the Columbia River Basin: WRF Model–Based Precipitation Maximization for PMP Studies, Journal of Hydrologic Engineering, 10.1061/JHYEFF.HEENG-6169, 29, 3, (2024).
  • Comparison of Model-Based Precipitation Maximization Methods: Moisture Optimization Method, Storm Transposition Method, and Their Combination, Journal of Hydrologic Engineering, 10.1061/(ASCE)HE.1943-5584.0002234, 28, 1, (2023).
  • A numerical coupled atmospheric–hydrologic modeling system for probable maximum flood estimation with application to California's southern Sierra Nevada foothills watersheds, Journal of Flood Risk Management, 10.1111/jfr3.12809, 15, 3, (2022).

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