Dynamical Mechanisms Underlying the 2022/23 California Flooding: Analysis With A Stationary Wave Model

dc.contributor.authorDeAngelis, Anthony M.
dc.contributor.authorSchubert, Siegfried D.
dc.contributor.authorChang, Yehui
dc.contributor.authorLim, Young-Kwon
dc.contributor.authorThomas, Natalie
dc.contributor.authorKoster, Randal D.
dc.contributor.authorBosilovich, Michael G.
dc.contributor.authorMolod, Andrea M.
dc.contributor.authorCollow, Allison
dc.contributor.authorDezfuli, Amin
dc.date.accessioned2025-06-05T14:03:57Z
dc.date.available2025-06-05T14:03:57Z
dc.date.issued2024
dc.description104th American Meteorological Society (AMS) Annual Meeting, Baltimore, MD, US, January 28 - February 1, 2024
dc.description.abstractIn late December 2022 and the first half of January 2023, much of California experienced an unprecedented series of atmospheric rivers that produced heavy rains and near-record flooding. Previous work shows that a chain of dynamical events contributed to the extreme precipitation, including the development of a Rossby wave (as a result of forcing linked to the MJO) that emerged from the Indian Ocean in mid-December, and the subsequent development of a persistent positive Pacific North American (PNA) pattern that ultimately directed moisture onto the US West Coast starting in late December. Here, we use a stationary wave model (SWM) to further elucidate the dynamical and thermodynamical processes that drove the aforementioned chain of events. The results reveal the following: 1) The mid-December Rossby wave was likely induced by vorticity stretching and advection in the middle East linked indirectly to the MJO, 2) The initial development of the PNA in late December was triggered by transient and stretching sources of vorticity in the Pacific that were themselves induced by the aforementioned Rossby wave, and 3) The PNA was maintained through mid-January in part by diabatic heating west of Hawaii that was associated with anomalous precipitation influenced by the PNA circulation anomalies, thus representing a feedback on the PNA. One key finding from the SWM analysis is the limited direct role of tropical heating for inducing any of the dynamical mechanisms related to the California extreme event.
dc.description.sponsorshipSponsor American Meteorological Society
dc.description.urihttps://ntrs.nasa.gov/citations/20240001395
dc.format.extent1 page
dc.genreposters
dc.identifierdoi:10.13016/m2sskf-dk9t
dc.identifier.urihttp://hdl.handle.net/11603/38775
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.rightsThis is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectEarth Resources and Remote Sensing
dc.titleDynamical Mechanisms Underlying the 2022/23 California Flooding: Analysis With A Stationary Wave Model
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-3566-3889
dcterms.creatorhttps://orcid.org/0000-0003-3274-8542
dcterms.creatorhttps://orcid.org/0000-0002-6433-7257

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