Technical Papers
Apr 15, 2024

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

Publication: Journal of Hydrologic Engineering
Volume 29, Issue 3

Abstract

US probable maximum precipitation (PMP) estimation guidance fundamentally relies on the assumption that any change in precipitable water is consistent with the change in precipitation. While this assumption is theoretically sound in extreme storms that are convective in nature with lifting so vigorous as to convert all available atmospheric water vapor into precipitation, this type of storm rarely occurs in the Pacific Northwest of the United States; the assumption may be invalid. This study investigates the relationship between changes in precipitable water and changes in precipitation using high-resolution model-based precipitation maximization for a large number of atmospheric river (AR) events impacting the Columbia River Basin (CRB) in the Pacific Northwest. Analysis indicates that the relationship between changes in precipitable water and changes in precipitation cannot be simply approximated as either 11 (i.e., consistent) or a linear relationship (R=0.13; p=0.17). Our analysis on the precipitation maximization results showed that the horizontal wind speed at 10m plays an important role in determining the relationship between these changes. The relationship between integrated water vapor transport (IVT) change and precipitation change was found to be stronger (R=0.47) and statistically significant (p<0.01) for storms impacting the CRB, which was approximated as precipitation change = 2.0 × IVT change 0.6. Our finding underscores the importance of considering not only atmospheric water vapor amounts but also the accompanying flows transporting atmospheric water vapor, in maximizing precipitation depths over a target region.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was supported by US Army Corps of Engineers (USACE) Grant 3-20B35-Department of Army Engi-W912HZ-17-2-0001. During the reported study, Yusuke Hiraga was at Department of Civil and Environmental Engineering, University of California, Davis.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 29Issue 3June 2024

History

Received: Sep 13, 2023
Accepted: Jan 22, 2024
Published online: Apr 15, 2024
Published in print: Jun 1, 2024
Discussion open until: Sep 15, 2024

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Assistant Professor, Dept. of Civil and Environmental Engineering, Tohoku Univ., Sendai 980-8579, Japan; formerly, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, Davis, CA 95616 (corresponding author). ORCID: https://orcid.org/0000-0002-7791-5431. Email: [email protected]
Yoshihiko Iseri, Aff.M.ASCE [email protected]
Assistant Project Scientist, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. Email: [email protected]
Michael D. Warner [email protected]
Meteorologist, Seattle District, US Army Corps of Engineers, Seattle, WA 98134. Email: [email protected]
Angela M. Duren [email protected]
Research and Development Technical Program Manager, Northwest Division, US Army Corps of Engineers, Portland, OR 97232. Email: [email protected]
Hydrologic Hazards Lead Civil Engineer, Risk Management Center, US Army Corps of Engineers, Lakewood, CO 80228. ORCID: https://orcid.org/0000-0001-5563-6274. Email: [email protected]
M. Levent Kavvas, F.ASCE [email protected]
Distinguished Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. Email: [email protected]

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