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Accessing Extremes Of Mid-latitudinal Wave Activity: Methodology And Application

机译:接近中纬向波活动的极端方法和应用

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A statistical methodology is proposed and tested for the analysis of extreme values of atmospheric wave activity at mid-latitudes. The adopted methods are the classical block-maximum and peak over threshold, respectively based on the generalized extreme value (GEV) distribution and the generalized Pareto distribution (GPD). Time-series of the 'Wave Activity Index' (WAI) and the 'Baroclinic Activity Index' (BAI) are computed from simulations of the General Circulation Model ECHAM4.6, which is run under perpetual January conditions. Both the GEV and the GPD analyses indicate that the extremes of WAI and BAI are Weibull distributed, this corresponds to distributions with an upper bound. However, a remarkably large variability is found in the tails of such distributions; distinct simulations carried out under the same experimental setup provide sensibly different estimates of the 200-yr WAI return level. The consequences of this phenomenon in applications of the methodology to climate change studies are discussed. The atmospheric configurations characteristic of the maxima and minima of WAI and BAI are also examined.
机译:提出并测试了统计方法,用于分析中纬度大气波活动的极值。采用的方法分别是基于广义极值(GEV)分布和广义Pareto分布(GPD)的经典块最大值和峰值阈值。 “波浪活动指数”(WAI)和“斜压活动指数”(BAI)的时间序列是根据在永久1月条件下运行的通用循环模型ECHAM4.6的模拟计算得出的。 GEV和GPD分析均表明,WAI和BAI的极端是威布尔分布,这对应于具有上限的分布。然而,在这种分布的尾部发现了很大的可变性。在相同的实验设置下进行的不同模拟提供了对200年WAI回报水平的明显不同的估计。讨论了该现象在方法学应用于气候变化研究中的后果。还检查了WAI和BAI的最大值和最小值的大气构造特征。

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