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Analysis of Observed and Modelled Near-Surface Wind Extremes over the Sub-Arctic Northeast Pacific

机译:北极东北太平洋近地表风的观测和模拟分析

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Wind speed extremes in the sub-Arctic realm of the North-East Pacific region were investigated through extreme value analysis of wind speed obtained from wind simulations of the COSMO-CLM (Consortium for Small-scale Modelling, climate version) mesoscale model, as well as using observed data. The analysis showed that the set of wind speed extremes obtained from observations is a mixture of two different subsets each neatly described by the Weibull distribution. Using special metaphoric terminology, they are labelled as “Black Swans” and “Dragons”. The “Dragons” are responsible for strongest extremes. It has been shown that both reanalysis and GCM (general circulation model) data have no “Dragons”. This means that such models underestimate wind speed maxima, and the important circulation process generating the anomalies is not simulated. The COSMO-CLM data have both “Black Swans” and “Dragons”. This evidence provides a clue that an atmospheric model with a detailed spatial resolution (we used in this work the data from domain with 13.2 km spatial resolution) does reproduce the special mechanism responsible for the generation of the largest wind speed extremes. However, a more thorough analysis shows that the differences in the parameters of the cumulative distribution functions are still significant. The ratio between the modelled Dragons and Black Swans can reach up to only 10%. It is much less than 30%, which was the level established for observations.
机译:通过对COSMO-CLM(小规模模型联盟,气候版本)中尺度模型的风模拟获得的风速的极值分析,研究了东北太平洋地区北极次域的风速极限。使用观察到的数据。分析表明,从观测中获得的极端风速是两个不同子集的混合物,每个子集都由Weibull分布很好地描述。使用特殊的隐喻术语,它们分别被标记为“黑天鹅”和“龙”。 “龙”是最强的极端。已经表明,再分析和GCM(一般循环模型)数据都没有“龙”。这意味着这些模型低估了风速最大值,并且没有模拟产生异常的重要循环过程。 COSMO-CLM数据同时具有“黑天鹅”和“龙”。这一证据提供了一个线索,即具有详细空间分辨率的大气模型(我们在本工作中使用的空间分辨率为13.2 km的领域数据)确实再现了导致最大风速极值产生的特殊机制。但是,更彻底的分析表明,累积分布函数的参数差异仍然很大。模拟的龙与黑天鹅之间的比例最高只能达到10%。它远低于为观察所确定的水平30%。

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