A storm-centered multivariate modeling of extreme precipitation frequency based on atmospheric water balance

Abstract 2 and durations from 2 to 72 h in the Mississippi Basin and its five major subbasins. The estimated precipitation distributions show a good fit to the reference data from the original storm catalogs and are close to the estimates from conventional univariate GEV distributions. Our approach explicitly represents the contributions of water balance components in extreme precipitation. Of these, water vapor flux convergence is the main contributor, while precipitable water and a mass residual term can also be important, particularly for short durations and small storm footprints. We also found that ERA5 shows relatively good water balance closure for extreme storms, with a mass residual on average 10 % of precipitation. The approach can incorporate nonstationarities in water balance components and their dependence structures and can benefit from further advancements in reanalysis products and storm tracking techniques.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: A storm-centered multivariate modeling of extreme precipitation frequency based on atmospheric water balance ; volume:26 ; number:20 ; year:2022 ; pages:5241-5267 ; extent:27 ; Hydrology and earth system sciences ; 26, Heft 20 (2022), 5241-5267 (gesamt 27)

Contributors, Places and Time

• Creator: Liu, Yuan ; Wright, Daniel B.

Further information

• DOI: 10.5194/hess-26-5241-2022
• URN: urn:nbn:de:101:1-2022102705265976122344
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:33 AM CEST