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

Published

Author(s)

Franklin T. Lombardo, Joseph A. Main

Abstract

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), with 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 automated procedures for (a) extraction of peak gust wind data from coded ASOS files, (b) extraction of thunderstorm observations from coded ASOS files, (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. The application of these procedures is illustrated using ASOS data from three stations near New York City over a period of about 20 years.
Proceedings Title
Structures Congress| 2006
Conference Dates
May 18-20, 2006
Conference Title
ASCE

Citation

Lombardo, F. and Main, J. (2006), Automated Extraction of Wind Data From ASOS (Automated Surface Observing System) Weather Reports, Structures Congress| 2006, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=860646 (Accessed September 30, 2023)
Created May 18, 2006, Updated February 19, 2017