Algorithms for Generating Large Sets of Synthetic Directional Wind Speed Data for Hurricane, Thunderstrom, and Synoptic Winds

Published

February 2, 2009

Author(s)

Mircea D. Grigoriu

Abstract

Probabilistic models are developed for directional wind speeds in hurricane, thunderstorm, and synoptic wind storms. The models, calibrated to data, are used to generate synthetic directional wind speeds over periods of arbitrary length and to assess the uncertainty in the resulting extreme wind speeds. The procedure for generating data uses MATLAB functions, called dir¡hurricane, bootstrap¡par, and bootstrap¡par¡ts, and available on www.nist.gov/wind. The synthetic data generated by the models and MATLAB functions developed in this study provide a rational tool for constructing synthetic directional wind speed data that are statistically consistent with existing wind records. The developments in this study are needed because large sets of synthetic data are required to assess the performance of tall buildings and other structural systems under directional wind speeds.

Citation

Technical Note (NIST TN) - 1626

Report Number

1626

NIST Pub Series

Technical Note (NIST TN)

Pub Type

NIST Pubs

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Keywords

Building technology, hurricanes, synoptic winds, structural engineering, tall buildings, thunderstorms, wind engineering, wind speeds.

Citation

Grigoriu, M. (2009), Algorithms for Generating Large Sets of Synthetic Directional Wind Speed Data for Hurricane, Thunderstrom, and Synoptic Winds, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901245 (Accessed December 26, 2024)