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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Nonstationary influence of the North Atlantic tropical cyclones on the spatio-temporal variability of the eastern United States precipitation extremes
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Nonstationary influence of the North Atlantic tropical cyclones on the spatio-temporal variability of the eastern United States precipitation extremes

机译:北大西洋热带气旋对美国东部地区降水极值的时空变异性的非子性影响

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摘要

In the eastern United States, the empirical probability distribution of extreme daily precipitation comprises heavy rainfall events stemming from North Atlantic tropical cyclones (TCs). At many locations, these events influence estimates of extreme value statistics (e.g., 100-year event), thus have important bearing on the sizing of flood protection infrastructure and, in general, flood risk management and preparedness. Consequently, a characterization of location specific and regional patterns in precipitation extremes and changes therein has salience for both scientific and engineering concerns. To this end, analysis of seasonal and annual maximum daily precipitation at 667 long-term stations across the eastern United States was pursued to ascertain recent changes in the extreme events over the 1950-2011 period. Three key results from this study illuminate less understood facets of recent changes in precipitation extremes: (a) an overall increase in the fraction of seasonal and annual maximum precipitation events linked to TCs, (b) a dramatic increase in the correlation between Accumulated Cyclone Energy Index and the leading principal component of extreme precipitation, and (c) changes in the spatial patterns of regions with highest TC-related risk for heavy precipitation.
机译:在美国东部,极端每日降水的实证概率分布包括北大西洋热带气旋(TCS)的大雨事件。在许多地方,这些事件会影响极值统计(例如,100年的事件)的估计,因此对洪水保护基础设施的规模和一般洪水风险管理和准备具有重要的轴质。因此,定位特异性和区域模式的沉淀极端和区域模式的表征和其中的变化具有科学和工程问题的显着性。为此,在美国东部667年的667年长期站点季节性和年度最大降水的分析是在1950 - 2011年期间确定最近的极端事件的变化。本研究的三个关键结果照亮了降水极端最近变化的较少理解的方面:(a)与TCS的季节性和年度最大降水事件的一部分总体增加,(b)累积旋风能量之间的相关性增加的剧烈增加极端降水的指数和前导主要成分,(c)在具有最高与重度降水的情况下的地区空间模式的变化。

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