Identifying Eastern US Atmospheric River Types and Evaluating Historical Trends

dc.contributor.authorRamseyer, Craig A.en
dc.contributor.authorStanfield, Tyler J.en
dc.contributor.authorVan Tol, Zacharyen
dc.contributor.authorGingrich, Tyleren
dc.contributor.authorHenry, Parkeren
dc.contributor.authorForister, Peteren
dc.contributor.authorLamkin, Bradleyen
dc.contributor.authorStackhouse, Shakiraen
dc.contributor.authorSauda, Samrin Samaiyaen
dc.coverage.countryUnited Statesen
dc.date.accessioned2022-09-13T13:49:08Zen
dc.date.available2022-09-13T13:49:08Zen
dc.date.issued2022-09-16en
dc.description.abstractAn atmospheric river (AR) is the primary moisture transport forcing in the Western United States, making ARs the predominant producer of extreme precipitation events in this region. A growing body of evidence suggests similar impacts for the Central and Eastern US. This study determines the most prominent types of ARs in the Central and Eastern US study domain through the implementation of a machine learning methodology. Self-organizing maps (SOMs) are leveraged to determine what “flavors” of ARs exist in the study domain. Four atmospheric river detection criteria are utilized to investigate the variability AR types. Mann-Kendall trend analyses on AR strength and size are produced to evaluate changes over the study period. The results confirm extratropical cyclones as the most common driver of ARs, however, limited kinematic forcing can also instigate the development of AR events. Results show coastal cyclones and lee-side cyclones are responsible for producing the strongest ARs. The trend analysis results suggest that ARs associated with Nor'easters and ARs originating in the Gulf of Mexico are exhibiting increasing trends in intensity and/or size. Increasing moisture transport by mature cyclones across the Central and Eastern US have important implications for flooding in highly populated corridors. Areas of concern include the Northeast and Southeast US, while localized enhancement of rainfall is seen along the eastern and southern slopes of the Appalachian Mountains. In addition to the physical findings, this research highlights the importance and sensitivity of statistically significant results to the specific atmospheric river detection criteria that was leveraged.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRamseyer, C. A., Stanfield, T. J., Van Tol, Z., Gingrich, T., Henry, P., Forister, P., et al. (2022). Identifying Eastern US atmospheric river types and evaluating historical trends. Journal of Geophysical Research: Atmospheres, 127, e2021JD036198. https://doi.org/10.1029/2021JD036198en
dc.identifier.doihttps://doi.org/10.1029/2021JD036198en
dc.identifier.urihttp://hdl.handle.net/10919/111810en
dc.identifier.volume127en
dc.language.isoenen
dc.publisherAGU/Wileyen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAtmospheric riveren
dc.subjectSelf-organizing mapsen
dc.subjectMachine learningen
dc.subjectMid-latitude cycloneen
dc.titleIdentifying Eastern US Atmospheric River Types and Evaluating Historical Trendsen
dc.title.serialJournal of Geophysical Research: Atmospheresen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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