Moire technique improves the measurement of atmospheric turbulence parameters

SPIE Newsroom ◽  
2007 ◽  
Author(s):  
Saifollah Rasouli
Keyword(s):  
Atmospheric Turbulence ◽  
Turbulence Parameters

Estimating Atmospheric Turbulence Parameters from the Envelopes of Radio Acoustic Signals

2001 ◽  
Vol 55 (8) ◽  
pp. 5
Author(s):  
V. M. Kartashov ◽  
V. A. Petrov ◽  
Ye. G. Proshkin ◽  
G. I. Sidorov
Keyword(s):  
Atmospheric Turbulence ◽  
Acoustic Signals ◽  
Turbulence Parameters

Atmospheric Turbulence Parameters from Visual Resolution

1975 ◽  
Vol 14 (4) ◽  
pp. 847 ◽  
Author(s):  
M. L. Wesely ◽  
Z. I. Derzko
Keyword(s):  
Atmospheric Turbulence ◽  
Visual Resolution ◽  
Turbulence Parameters

Acoustic Sounder Observations of Atmospheric Turbulence Parameters in a Convective Boundary Layer

1993 ◽  
Vol 32 (8) ◽  
pp. 1433-1440 ◽  
Author(s):  
Frank Quintarelli
Keyword(s):  
Boundary Layer ◽  
Atmospheric Turbulence ◽  
Autocorrelation Function ◽  
Dissipation Rate ◽  
Function Method ◽  
Convective Conditions ◽  
Convective Boundary ◽  
Pulse Volume ◽  
Spectral Variance ◽  
Turbulence Parameters

Abstract Acoustic sounder observations of atmospheric turbulence parameters presented in this paper include estimates of the dissipation rate ε, estimates of turbulent scale lengths λ, and uncertainties in measurements of the variance of the vertical wind σ2w caused by pulse volume filtering. The calculations are mainly restricted to periods when the convective regime is well established. Two techniques are used to determine ε and λ. Structure functions and the spectral variance of the echo are used to determine ε. The spectrum of vertical velocities are used to calculate λm and the autocorrelation function is used to calculate λe. Estimates of ε obtained from the spectral variance of the echo compare favorably with estimates from the structure function during convective regimes but the agreement is poor in other regimes. The autocorrelation function method for obtaining length scales yields results more reliably than the spectral method. The ratio λm/λe compares favorably with values reported in the literature except at low heights where it is markedly lower. The effects of pulse volume filtering on measurements of σ2w were found to be significant. In convective conditions, σ2w deduced from the Doppler shift of the echo can be underestimated by up to 25% and by greater amounts in other conditions.

scholarly journals Estimation of atmospheric turbulence parameters from Shack–Hartmann wavefront sensor measurements

2018 ◽  
Vol 483 (1) ◽  
pp. 1192-1201 ◽  
Author(s):  
Paulo P Andrade ◽  
Paulo J V Garcia ◽  
Carlos M Correia ◽  
Johann Kolb ◽  
Maria Inês Carvalho
Keyword(s):  
Atmospheric Turbulence ◽  
Wavefront Sensor ◽  
Turbulence Parameters

4-aperture differential image motion monitor as a new approach for estimating atmospheric turbulence parameters

2019 ◽  
Vol 66 (7) ◽  
pp. 753-763 ◽  
Author(s):  
B. Dibaee ◽  
R. Shomali ◽  
J. Khalilzadeh ◽  
A. Jafari ◽  
M. Amniat-Talab
Keyword(s):  
Atmospheric Turbulence ◽  
Image Motion ◽  
New Approach ◽  
Turbulence Parameters

Path-averaged differential meter of atmospheric turbulence parameters

2010 ◽  
Vol 109 (4) ◽  
pp. 635-640 ◽  
Author(s):  
L. V. Antoshkin ◽  
N. N. Botygina ◽  
O. N. Emaleev ◽  
P. A. Konyaev ◽  
V. P. Lukin
Keyword(s):  
Atmospheric Turbulence ◽  
Turbulence Parameters
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