Pattern Velocity Computers: Two Types Developed for Wind Velocity Measurement by Optical Means

1972 ◽  
Vol 43 (6) ◽  
pp. 879-882 ◽  
Author(s):  
Gerard R. Ochs ◽  
Glen F. Miller
Keyword(s):  
Wind Velocity ◽  
Velocity Measurement

1.5-μm eye-safe coherent lidar system for wind velocity measurement

2001 ◽  
Author(s):  
Kimio Asaka ◽  
Takayuki Yanagisawa ◽  
Yoshihito Hirano
Keyword(s):  
Wind Velocity ◽  
Velocity Measurement ◽  
Lidar System ◽  
Coherent Lidar

2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined With a Photosensor Array

2017 ◽  
Vol 66 (8) ◽  
pp. 2074-2082 ◽  
Author(s):  
Qing-Hao Meng ◽  
Pei-Feng Qi ◽  
Kai Wu ◽  
Shao-Hui Zhu ◽  
Ming Zeng
Keyword(s):  
Optical Fiber ◽  
Wind Velocity ◽  
Velocity Measurement

Coherent Doppler TEA CO2lidar for wind velocity measurement

1994 ◽  
Vol 24 (3) ◽  
pp. 266-272
Author(s):  
Vyacheslav M Gordienko ◽  
Yu Ya Putivskii
Keyword(s):  
Wind Velocity ◽  
Velocity Measurement

scholarly journals A generic gust definition and detection method based on wavelet-analysis

2019 ◽  
Vol 16 ◽  
pp. 143-148
Author(s):  
Helge Knoop ◽  
Felix Ament ◽  
Björn Maronga
Keyword(s):  
High Resolution ◽  
Wavelet Analysis ◽  
Wind Velocity ◽  
Time Domain ◽  
Velocity Measurement ◽  
Measurement Data ◽  
Direct Link ◽  
Velocity Signal ◽  
Characteristic Period ◽  
The Time Domain

Abstract. Wind gusts can have destructive effects on many structures and objects deemed valuable to humans. The aviation industry, for example, views gusts as a major hazard. Their destructive effect is proportional to the momentum that a specific gust imposes onto an object. The actual definition of a gust has a strong influence on how its impact can be quantified. Existing gust definitions, however, are largely based on fixed parameters describing shape requirements and thresholds and are often developed only for specific use cases. These gust definitions do not provide a direct link to the physical impact a particular gust has on a structure or object. The overall goal of this study is to provide such a direct link. The application of a wavelet-analysis to a turbulence-resolving wind velocity signal allows for the localization of signal amplitudes in the period as well as in the time domain. In this paper, we use wavelet-analysis in order to develop a straight-forward method of deriving information about gusts from a wind velocity signal. In order to define what a particular gust might be, we suggest the specification of a characteristic period and amplitude in the time-domain. We define a generic gust as a section of a wind velocity signal, where the wavelet-analysis detects that characteristic amplitude to be matched or exceeded within that characteristic period. The characteristic amplitudes and periods are generic and span a two-dimensional space of generic gust definitions. The method can be applied to turbulence resolving simulation data as well as high-resolution wind velocity measurement data. It can detect gusts of any shape, it is unbiased regarding any specific use case and invariant to changes of the mean wind. We provide a detailed description of the method, its capabilities and demonstrate its application to high resolution wind velocity measurement data.

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