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An analysis of the synoptic and climatological applicability\ud of circulation type classifications for Ireland

机译:天气和气候适用性分析\ ud 的流通类型分类

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摘要

Circulation type classifications compiled as part of the COST733 Action, ‘Harmonisation and Application\udof Weather Type Classifications for European Regions’, were evaluated based on their ability to describe variations in\udsurface temperature (maximum and minimum) and precipitation across the Irish landmass. In all 16 different classification\udschemes, representative of four general approaches in synoptic typing (leader algorithm, optimization scheme, predefined\udtypes, eigenvector analysis) were considered. Several statistical measures variously quantifying performance in arranging\uddaily observations into clearly defined homogenous groups were employed. Based on the results it was not possible to identify\uda single optimum classification or general approach in synoptic typing. This is related to inconsistencies in performance with\udrespect to the specific target variable and statistical measures used; the results were also shown to be conditional on the number\udof circulation types (CTs) as well as spatiotemporal dependencies in performance. However, the study did indicate that those\udtyping schemes based on predefined thresholds (Litynski, GrossWetterTypes, LambWeather Type) – along with the Kruizinga\udand Lund classifications – were better able to resolve surface temperature. With respect to precipitation those classifications\udderived using some optimization procedure (simulated annealing, Self Organizing Maps, k-means clustering) were consistently\udamong the best-performing schemes. In capturing the relationship between synoptic-scale circulation and precipitation the\udimportance of incorporating somemeasure of vorticitywas highlighted; in contrast the inclusion of discrete directional patterns\udwas shown to be important for resolving variations in local temperature. The classifications generally performed best for\udwinter, reflecting the closer coupling between circulation and surface conditions during this period. Spatial patterns in the\udsynoptic–climatological relationship were more apparent for precipitation. In this case those more westerly/south-westerly\udstations open to zonal airflow exhibited a stronger response to circulation variability.
机译:根据COST733行动的一部分编制的循环类型分类“欧洲地区天气类型的协调和应用\ udof”,基于它们描述整个爱尔兰陆地表面温度(最高和最低)和降水量的能力进行了评估。在所有16种不同的分类\方案中,均考虑了四种天气分类法的通用方法(领导算法,优化方案,预定义的\ udtype,特征向量分析)。在将\日常观察安排到明确定义的同质组中时,采用了多种统计方法来量化性能。根据结果​​,不可能在天气类型识别中识别单个最佳分类或通用方法。这与在不尊重具体目标变量和所使用的统计指标方面的绩效不一致有关;结果还显示取决于循环类型(CTs)的数量\ uduf以及性能的时空依赖性。但是,研究确实表明,基于预定义阈值(Litynski,GrossWetterTypes,LambWeather类型)的那些\ udtyping方案以及Kruizinga \ udand Lund分类–能够更好地解析表面温度。关于降水,使用某些优化程序(模拟退火,自组织图,k均值聚类)推导的那些分类始终是表现最佳的方案。在捕捉天气尺度环流与降水之间的关系时,强调了采用某种涡度测量方法的重要性。相反,包含离散的方向性图样\ ud被证明对于解决局部温度的变化很重要。这些分类通常最适合冬季使用,这反映了这段时期内环流和地面条件之间的紧密联系。气象与气候关系中的空间格局对于降水更为明显。在这种情况下,向纬向气流开放的西风/西南风\风蚀对循环变化表现出较强的响应。

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    Fealy, Rowan;

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