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Pacific and Atlantic Ocean influence on the spatiotemporal variability of heavy precipitation in the western United States

机译:太平洋和大西洋对美国西部强降水时空变化的影响

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摘要

In this study, we test our hypothesis that no single index such as El Nino-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Atlantic Multi-decadal Oscillation (AMO) or North Atlantic Oscillation (NAO) derived from the Pacific and Atlantic Oceans can explain the multi-scale temporal variability and spatial distribution of heavy precipitation in the western United States. Instead, it may be possible to utilize a characterization of their integrated effect or some other unidentified factors which reflects the combined physical oceanic-atmospheric processes that occur. For this purpose, Empirical orthogonal function (EOF) analysis is performed on summer (April-September) and winter (October-March) heavy precipitation expressed as total precipitation when daily precipitation is larger than 95th percentile (R95) to indentify the leading modes of variability during the period 1948-2009. The correlation between the principle components (PCs) of each EOF mode with Sea Surface Temperature (SST) anomalies is evaluated. The analysis has shown that the leading modes of R95 variability and the connections between local R95 and SST over western United States are seasonally dependent. The first EOF mode of summer R95 is associated with AMO. The first two EOF modes of winter R95 are related to an integrated effects of ENSO, PDO, and NAO which explain nearly half (49%) of the spatial and temporal variance in R95 in this region. Additionally, the coupled effects of these three oceanic-atmospheric oscillations on winter R95 are evaluated by investigating the ENSO-R95 responses modulated by a combination of different PDO and NAO phases. Based on our analyses and predicted future states of these oceanic-atmospheric oscillations, we suggest possible heavy precipitation scenarios for upcoming decades which may be useful to forecasters and water managers.
机译:在这项研究中,我们检验了以下假设:没有任何单一指数,例如厄尔尼诺-南方涛动(ENSO),太平洋年代际涛动(PDO),大西洋多年代际涛动(AMO)或北大西洋涛动(NAO)源自太平洋和大西洋可以解释美国西部强降水的多尺度时间变化和空间分布。取而代之的是,有可能利用其综合作用的特征或一些其他未确定的因素来反映所发生的物理海洋-大气过程的组合。为此,当日降水量大于95%(R95)时,对夏季(4月至9月)和冬季(10月至3月)的强降水表示为总降水,进行经验正交函数(EOF)分析,以确定1948-2009年期间的波动性。评估每种EOF模式的主成分(PC)与海表温度(SST)异常之间的相关性。分析表明,R95变异的主导模式以及美国西部局部R95和SST之间的联系是季节性变化的。夏季R95的第一个EOF模式与AMO相关。 R95冬季的前两种EOF模式与ENSO,PDO和NAO的综合效应有关,这解释了该地区R95时空变化的近一半(49%)。此外,通过研究由不同PDO和NAO相组合调制的ENSO-R95响应,评估了这三个海洋-大气振荡对冬季R95的耦合效应。根据我们的分析和对这些海洋-大气振荡的未来预测状态,我们建议未来几十年可能出现强降水情景,这可能对预报员和水资源管理者有用。

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