气候变化领域集成服务门户(CCPortal): Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns

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DOI	10.1007/s00382-018-4223-2
	Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns
	Agel L.; Barlow M.; Colby F.; Binder H.; Catto J.L.; Hoell A.; Cohen J.
发表日期	2019
ISSN	0930-7575
起始页码	1739
结束页码	1760
卷号	52 期号:2020-03-04
英文摘要	Previous work has identified six large-scale meteorological patterns (LSMPs) of dynamic tropopause height associated with extreme precipitation over the Northeast US, with extreme precipitation defined as the top 1% of daily station precipitation. Here, we examine the three-dimensional structure of the tropopause LSMPs in terms of circulation and factors relevant to precipitation, including moisture, stability, and synoptic mechanisms associated with lifting. Within each pattern, the link between the different factors and extreme precipitation is further investigated by comparing the relative strength of the factors between days with and without the occurrence of extreme precipitation. The six tropopause LSMPs include two ridge patterns, two eastern US troughs, and two troughs centered over the Ohio Valley, with a strong seasonality associated with each pattern. Extreme precipitation in the ridge patterns is associated with both convective mechanisms (instability combined with moisture transport from the Great Lakes and Western Atlantic) and synoptic forcing related to Great Lakes storm tracks and embedded shortwaves. Extreme precipitation associated with eastern US troughs involves intense southerly moisture transport and strong quasi-geostrophic forcing of vertical velocity. Ohio Valley troughs are associated with warm fronts and intense warm conveyor belts that deliver large amounts of moisture ahead of storms, but little direct quasi-geostrophic forcing. Factors that show the largest difference between days with and without extreme precipitation include integrated moisture transport, low-level moisture convergence, warm conveyor belts, and quasi-geostrophic forcing, with the relative importance varying between patterns. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
语种	英语
scopus关键词	atmospheric circulation; atmospheric dynamics; extreme event; geostrophic flow; precipitation assessment; seasonal variation; three-dimensional modeling; United States
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146556
作者单位	Department of Environmental, Earth, and Atmospheric Sciences, University of Massachusetts Lowell, One University Avenue, Lowell, MA, 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; Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland; Laboratoire de Météorologie Dynamique/IPSL, École Normale Supérieure, Paris, France; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom; NOAA/ESRL Physical Sciences Division, Boulder, CO, United States; Atmospheric and Environmental Research, Lexington, MA, United States
推荐引用方式 GB/T 7714	Agel L.,Barlow M.,Colby F.,et al. Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns[J],2019,52(2020-03-04).
APA	Agel L..,Barlow M..,Colby F..,Binder H..,Catto J.L..,...&Cohen J..(2019).Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns.Climate Dynamics,52(2020-03-04).
MLA	Agel L.,et al."Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns".Climate Dynamics 52.2020-03-04(2019).