globalchange  > 影响、适应和脆弱性
DOI: 10.1007/s00382-017-3724-8
Scopus记录号: 2-s2.0-85019264333
论文题名:
Identification of large-scale meteorological patterns associated with extreme precipitation in the US northeast
作者: Agel L.; Barlow M.; Feldstein S.B.; Gutowski W.J.; Jr.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 50, 期:2018-05-06
起始页码: 1819
结束页码: 1839
语种: 英语
Scopus关键词: algorithm ; cluster analysis ; extreme event ; meteorology ; potential vorticity ; precipitation (climatology) ; tropopause ; United States
英文摘要: Patterns of daily large-scale circulation associated with Northeast US extreme precipitation are identified using both k-means clustering (KMC) and Self-Organizing Maps (SOM) applied to tropopause height. The tropopause height provides a compact representation of the upper-tropospheric potential vorticity, which is closely related to the overall evolution and intensity of weather systems. Extreme precipitation is defined as the top 1% of daily wet-day observations at 35 Northeast stations, 1979–2008. KMC is applied on extreme precipitation days only, while the SOM algorithm is applied to all days in order to place the extreme results into the overall context of patterns for all days. Six tropopause patterns are identified through KMC for extreme day precipitation: a summertime tropopause ridge, a summertime shallow trough/ridge, a summertime shallow eastern US trough, a deeper wintertime eastern US trough, and two versions of a deep cold-weather trough located across the east-central US. Thirty SOM patterns for all days are identified. Results for all days show that 6 SOM patterns account for almost half of the extreme days, although extreme precipitation occurs in all SOM patterns. The same SOM patterns associated with extreme precipitation also routinely produce non-extreme precipitation; however, on extreme precipitation days the troughs, on average, are deeper and the downstream ridges more pronounced. Analysis of other fields associated with the large-scale patterns show various degrees of anomalously strong moisture transport preceding, and upward motion during, extreme precipitation events. © 2017, Springer-Verlag Berlin Heidelberg.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109405
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell, One University Avenue, Lowell, MA 01854, United States; Intercampus Marine Science Graduate Program, University of Massachusetts Lowell, Lowell, MA, United States; Climate Change Initiative, University of Massachusetts Lowell, Lowell, MA, United States; Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, United States; Department of Geological and Atmospheric Sciences, Iowa State University of Science and Technology, Ames, IA, United States

Recommended Citation:
Agel L.,Barlow M.,Feldstein S.B.,et al. Identification of large-scale meteorological patterns associated with extreme precipitation in the US northeast[J]. Climate Dynamics,2018-01-01,50(2018-05-06)
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