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Automated Extraction of Wind Data from Archived ASOS (Automated Surface Observing System) Weather Reports

机译:从存档的ASOS(自动地面观测系统)天气报告中自动提取风数据

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Wind loads for use in structural design are based in part on extreme value analysis of historical wind speed data for the location of interest. In some cases wind direction data are also required to characterize the directionality of the local wind climate. The Automated Surface Observing System (ASOS), a network of about 1000 standardized weather stations throughout the United States, is a good source of such local wind speed and direction data. In order to facilitate more widespread use of ASOS wind data for structural engineering purposes, this paper presents procedures and software for (a) extraction of peak gust wind data from archived ASOS reports, (b) extraction of thunderstorm observations from archived ASOS reports, (c) classification of wind data as thunderstorm or non-thunderstorm to enable separate statistical analysis of these distinct types of winds, and (d) construction of data sets separated by specified minimum time intervals to ensure statistical independence. These procedures are illustrated using ASOS data from three stations near New York City over a period of about 20 years.
机译:结构设计中使用的风荷载部分基于对感兴趣位置的历史风速数据的极值分析。在某些情况下,还需要风向数据来表征当地风向的方向性。自动水面观测系统(ASOS)是全美国约1000个标准化气象站的网络,是此类本地风速和风向数据的良好来源。为了促进将ASOS风数据更广泛地用于结构工程目的,本文介绍了以下程序和软件:(a)从ASOS存档报告中提取峰值阵风数据,(b)从ASOS存档报告中提取雷暴观测资料,( c)将风数据分类为雷暴或非雷暴,以便对这些不同类型的风进行单独的统计分析,以及(d)构建按指定的最小时间间隔分隔的数据集,以确保统计独立性。使用约20年期间来自纽约市附近三个站点的ASOS数据说明了这些过程。

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