Climatology of 500‐hPa geopotential height anomalies associated with May tornado outbreaks in the United States. (18th September 2022)

• Record Type: Journal Article
• Authors: Ćwik, Paulina; McPherson, Renee A.; Richman, Michael B.; Mercer, Andrew E.
• Is Part Of: International journal of climatology. Volume 43:Number 2(2023)
• Page Start: 893
• Page End: 913
• Publication Date: 2022-09-18
• Subjects: 500‐hPa geopotential height -- climate change -- climatology -- large‐scale atmospheric patterns -- principal component analysis -- tornado outbreaks -- United States; Climatology -- Periodicals; Climat -- Périodiques; Climatologie -- Périodiques; 551.605
• DOI: 10.1002/joc.7841
• Languages: English
• ISSNs: 0899-8418

Abstract

Abstract: This study supports efforts directed toward research on large‐scale atmospheric patterns and on the variability of tornado outbreaks. Specifically, we applied rotated principal component analysis to identify synoptic‐scale patterns of 500‐hPa geopotential height associated with tornado outbreaks in the United States. We created a database of historic tornado outbreaks using kernel density estimation on events composed of at least seven tornadoes of magnitude (E)F2 or higher (major tornado outbreaks) that occurred in May from 1950 to 2019 (91 events). Results of the analysis show that the first three principal components explained the majority, that is, 74% of the total variation. Based on the analysis of congruence coefficients, the Promax oblique transformation was chosen as the most representative rotation in portraying physically meaningful modes and resulted in three main atmospheric patterns. Two of these, to the best of our knowledge, have not been yet identified as the most representative of tornado outbreaks in any previous studies. Additionally, results suggest that although synoptic patterns associated with major May tornado outbreaks remain the same over time, partial variability in their geographic location exhibits some cyclical behaviour, especially on decadal and multidecadal scales. Identifying these patterns can serve as a first step in determining how they may change under anthropogenic climate change in the future. Abstract : The physical understanding of the environmental factors supporting initiation of severe storms remains incomplete and limits our predictive ability. This study supports efforts directed toward research on large‐scale atmospheric patterns that are associated with historic U.S. tornado outbreaks by application of rotated principal component analysis to 500‐hPa geopotential height anomalies field. Three major patterns were identified and can be used as a reference in simulations of potential changes to tornado outbreak frequencies under different climate change projections in the future.