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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >An analysis of the synoptic and climatological applicability of circulation type classifications for Ireland
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An analysis of the synoptic and climatological applicability of circulation type classifications for Ireland

机译:爱尔兰环流类型分类的天气学和气候学适用性分析

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摘要

Circulation type classifications compiled as part of the COST733 Action, Harmonisation and Application of Weather Type Classifications for European Regions', were evaluated based on their ability to describe variations in surface temperature (maximum and minimum) and precipitation across the Irish landmass. In all 16 different classification schemes, representative of four general approaches in synoptic typing (leader algorithm, optimization scheme, predefined types, eigenvector analysis) were considered. Several statistical measures variously quantifying performance in arranging daily observations into clearly defined homogenous groups were employed. Based on the results it was not possible to identify a single optimum classification or general approach in synoptic typing. This is related to inconsistencies in performance with respect to the specific target variable and statistical measures used; the results were also shown to be conditional on the number of circulation types (CTs) as well as spatiotemporal dependencies in performance. However, the study did indicate that those typing schemes based on predefined thresholds (Litynski, GrossWetterTypes, Lamb Weather Type)-along with the Kruizinga and Lund classifications-were better able to resolve surface temperature. With respect to precipitation those classifications derived using some optimization procedure (simulated annealing, Self Organizing Maps, k-means clustering) were consistently among the best-performing schemes. In capturing the relationship between synoptic-scale circulation and precipitation the importance of incorporating some measure of vorticity was highlighted; in contrast the inclusion of discrete directional patterns was shown to be important for resolving variations in local temperature. The classifications generally performed best for winter, reflecting the closer coupling between circulation and surface conditions during this period. Spatial patterns in the synoptic-climatological relationship were more apparent for precipitation. In this case those more westerly/south-westerly stations open to zonal airflow exhibited a stronger response to circulation variability.
机译:根据COST733欧洲地区天气类型分类的行动,协调和应用的一部分,对循环类型分类进行了评估,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。在所有16种不同的分类方案中,都考虑了四种天气分类法的通用方法(领导算法,优化方案,预定义类型,特征向量分析)。在将每日观察结果分为明确定义的同质组中,采用了多种统计方法来量化性能。根据结果​​,无法确定天气类型分类的单一最佳分类或通用方法。这与在使用具体目标变量和统计措施方面的绩效不一致有关;结果还表明,该条件取决于循环类型(CT)的数量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,Lamb Weather Type)以及Kruizinga和Lund分类的那些键入方案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)得出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的重要性。相反,显示离散方向图对于解决局部温度变化很重要。这些分类通常在冬季表现最佳,反映了在此期间循环与地面状况之间的紧密联系。天气-气候关系中的空间格局对于降水更为明显。在这种情况下,那些向纬向气流开放的西风/西南风站点表现出对循环变化的更强响应。

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