GSTDTAP  > 气候变化
DOI10.1007/s00382-018-4223-2
Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns
Agel, Laurie1,2; Barlow, Mathew1,3; Colby, Frank1; Binder, Hanin4,5; Catto, Jennifer L.6; Hoell, Andrew7; Cohen, Judah8
2019-02-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号52页码:1739-1760
文章类型Article
语种英语
国家USA; Switzerland; France; England
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.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000460902200026
WOS关键词WARM CONVEYOR BELTS ; LAGRANGIAN-BASED ANALYSIS ; POTENTIAL VORTICITY ; EXTRATROPICAL CYCLONES ; WEATHER REGIMES ; EVENTS ; CLIMATOLOGY ; FRONTS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/35235
专题气候变化
作者单位1.Univ Massachusetts, Dept Environm Earth & Atmospher Sci, One Univ Ave, Lowell, MA 01854 USA;
2.Univ Massachusetts Lowell, Intercampus Marine Sci Grad Program, Lowell, MA 01854 USA;
3.Univ Massachusetts Lowell, Climate Change Initiat, Lowell, MA USA;
4.Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland;
5.Ecole Normale Super, Lab Meteorol Dynam IPSL, Paris, France;
6.Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England;
7.NOAA, ESRL, Phys Sci Div, Boulder, CO USA;
8.Atmospher & Environm Res, Lexington, MA USA
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Agel, Laurie,Barlow, Mathew,Colby, Frank,et al. Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns[J]. CLIMATE DYNAMICS,2019,52:1739-1760.
APA Agel, Laurie.,Barlow, Mathew.,Colby, Frank.,Binder, Hanin.,Catto, Jennifer L..,...&Cohen, Judah.(2019).Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns.CLIMATE DYNAMICS,52,1739-1760.
MLA Agel, Laurie,et al."Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns".CLIMATE DYNAMICS 52(2019):1739-1760.
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