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

机译:自动提取归档ASOS(自动化表面观察系统)天气报告的风数据

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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:风荷载在结构设计使用是基于对感兴趣的位置历史风速数据的极值分析部分。在某些情况下风向的数据,还需要表征当地的气候风的方向性。的自动化表面观测系统(ASOS),约1000标准化的气象站的整个美国的网络中,是这样的局部风速和风向数据的良好来源。为了促进结构工程用途更广泛地使用ASOS风数据,本文提出的程序和从存档的ASOS报告高峰阵风数据(一)提取软件,(b)由存档ASOS报告雷暴的观测提取,( C)风力数据作为雷暴或非雷暴启用这些不同类型的风的单独的统计分析,并且数据组(d)结构的分级分离由规定的最小时间间隔,以确保统计独立性。这些程序使用的数据ASOS历时20年左右从所示附近的纽约三个站。

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