Characterizing wind gusts in complex terrain
<p>Wind gusts are a key driver of aerodynamic loading, especially for tall structures such a bridges and wind turbines. However, gust characteristics in complex terrain are not well understood and common approximations used to describe wind gust behavior may not be appropriate at heights relev...
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Copernicus Publications
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doaj-3b40eb2e9fef48b2a19100e4a945af9f2020-11-25T02:45:47ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-03-01193797381910.5194/acp-19-3797-2019Characterizing wind gusts in complex terrainF. Letson0F. Letson1R. J. Barthelmie2W. Hu3W. Hu4S. C. Pryor5Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USASibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USASibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USADepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USASibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USADepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USA<p>Wind gusts are a key driver of aerodynamic loading, especially for tall structures such a bridges and wind turbines. However, gust characteristics in complex terrain are not well understood and common approximations used to describe wind gust behavior may not be appropriate at heights relevant to wind turbines and other structures. Data collected in the Perdigão experiment are analyzed herein to provide a foundation for improved wind gust characterization and process-level understanding of flow intermittency in complex terrain. High-resolution observations from sonic anemometers and vertically pointing Doppler lidars are used to conduct a detailed study of gust characteristics with a specific focus on the parent distributions of nine gust parameters (that describe velocity, time, and length scales), their joint distributions, height variation, and coherence in the vertical and horizontal planes. Best-fit distributional forms for varying gust properties show good agreement with those from previous experiments in moderately complex terrain but generate nonconservative estimates of the gust properties that are of key importance to structural loading. Probability distributions of gust magnitude derived from vertically pointing Doppler lidars exhibit good agreement with estimates from sonic anemometers despite differences arising from volumetric averaging and the terrain complexity. Wind speed coherence functions during gusty periods (which are important to structural wind loading) are similar to less complex sites for small vertical displacements (10 to 40 m), but do not exhibit an exponential form for larger horizontal displacements (800 to 1500 m).</p>https://www.atmos-chem-phys.net/19/3797/2019/acp-19-3797-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
F. Letson F. Letson R. J. Barthelmie W. Hu W. Hu S. C. Pryor |
spellingShingle |
F. Letson F. Letson R. J. Barthelmie W. Hu W. Hu S. C. Pryor Characterizing wind gusts in complex terrain Atmospheric Chemistry and Physics |
author_facet |
F. Letson F. Letson R. J. Barthelmie W. Hu W. Hu S. C. Pryor |
author_sort |
F. Letson |
title |
Characterizing wind gusts in complex terrain |
title_short |
Characterizing wind gusts in complex terrain |
title_full |
Characterizing wind gusts in complex terrain |
title_fullStr |
Characterizing wind gusts in complex terrain |
title_full_unstemmed |
Characterizing wind gusts in complex terrain |
title_sort |
characterizing wind gusts in complex terrain |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2019-03-01 |
description |
<p>Wind gusts are a key driver of aerodynamic loading, especially for tall
structures such a bridges and wind turbines. However, gust characteristics in
complex terrain are not well understood and common approximations used to
describe wind gust behavior may not be appropriate at heights relevant to
wind turbines and other structures. Data collected in the Perdigão
experiment are analyzed herein to provide a foundation for improved wind gust
characterization and process-level understanding of flow intermittency in
complex terrain. High-resolution observations from sonic anemometers and
vertically pointing Doppler lidars are used to conduct a detailed study of
gust characteristics with a specific focus on the parent distributions of
nine gust parameters (that describe velocity, time, and length scales), their
joint distributions, height variation, and coherence in the vertical and
horizontal planes. Best-fit distributional forms for varying gust properties
show good agreement with those from previous experiments in moderately
complex terrain but generate nonconservative estimates of the gust properties
that are of key importance to structural loading. Probability distributions
of gust magnitude derived from vertically pointing Doppler lidars exhibit
good agreement with estimates from sonic anemometers despite differences
arising from volumetric averaging and the terrain complexity. Wind speed
coherence functions during gusty periods (which are important to structural
wind loading) are similar to less complex sites for small vertical
displacements (10 to 40 m), but do not exhibit an exponential form for
larger horizontal displacements (800 to 1500 m).</p> |
url |
https://www.atmos-chem-phys.net/19/3797/2019/acp-19-3797-2019.pdf |
work_keys_str_mv |
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