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

Author:

Hiraga Yusuke1ORCID,Iseri Yoshihiko2,Warner Michael D.3,Duren Angela M.4,England John F.5ORCID,Levent Kavvas M.6

Affiliation:

1. 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: .

2. Assistant Project Scientist, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616.

3. Meteorologist, Seattle District, US Army Corps of Engineers, Seattle, WA 98134.

4. Research and Development Technical Program Manager, Northwest Division, US Army Corps of Engineers, Portland, OR 97232.

5. Hydrologic Hazards Lead Civil Engineer, Risk Management Center, US Army Corps of Engineers, Lakewood, CO 80228. ORCID: .

6. Distinguished Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616.

Publisher

American Society of Civil Engineers (ASCE)

Reference46 articles.

1. A numerical modeling study to investigate the assumptions used in the calculation of probable maximum precipitation

2. Constraints on future changes in climate and the hydrologic cycle

3. AMS (American Meteorological Society). 2022. “Atmospheric river glossary of meteorology.” Accessed June 16 2023. https://glossary.ametsoc.org/wiki/Atmospheric_river.

4. Mixed populations and annual flood frequency estimates in the western United States: The role of atmospheric rivers

5. Chen L. and A. A. Bradley. 2003. “The dependence of the moisture maximization in PMP procedures on spatial scale.” In Proc. 17th Conf. on Hydrology. Boston: American Meteorological Society.

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