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Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns

机译:基于大规模气象模式的美国东北部极端降水动态分析

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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.
机译:先前的工作已经确定了六个动态对流层顶高度的大规模气象模式(LSMP),与美国东北部的极端降水相关,极端降水被定义为每日台站降水的前1%。在这里,我们检查了对流层顶LSMPs的三维结构,包括环流和与降水有关的因素,包括湿度,稳定性和与起升有关的天气机制。在每个模式中,通过比较极端降水发生和不发生的天数之间的相对强度,进一步研究了不同因素与极端降水之间的联系。六个对流层顶LSMP包括两个洋脊模式,两个美国东部海槽和两个以俄亥俄河谷为中心的海槽,每种模式都有很强的季节性。脊状模式的极端降水与对流机制(不稳定以及从大湖和西大西洋的水汽输送结合在一起)以及与大湖风暴径和短波埋入有关的天气强迫有关。与美国东部海槽有关的极端降水涉及向南的强烈水汽输送和垂直速度的强准地转强迫。俄亥俄河谷的低谷与温暖的锋面和强烈的温暖的输送带有关,它们在暴风雨来临之前会输送大量的水分,但几乎没有直接的准地转强迫。在有和没有极端降水的情况下,日间差异最大的因素包括综合水分传输,低水平水分汇聚,温暖的输送带和准地转强迫,相对重要性在不同模式之间有所不同。

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  • 来源
    《Climate dynamics》 |2019年第4期|1739-1760|共22页
  • 作者单位

    Univ Massachusetts, Dept Environm Earth & Atmospher Sci, One Univ Ave, Lowell, MA 01854 USA|Univ Massachusetts Lowell, Intercampus Marine Sci Grad Program, Lowell, MA 01854 USA;

    Univ Massachusetts, Dept Environm Earth & Atmospher Sci, One Univ Ave, Lowell, MA 01854 USA|Univ Massachusetts Lowell, Climate Change Initiat, Lowell, MA USA;

    Univ Massachusetts, Dept Environm Earth & Atmospher Sci, One Univ Ave, Lowell, MA 01854 USA;

    Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland|Ecole Normale Super, Lab Meteorol Dynam IPSL, Paris, France;

    Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England;

    NOAA, ESRL, Phys Sci Div, Boulder, CO USA;

    Atmospher & Environm Res, Lexington, MA USA;

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