Atmospheric turbulence structure in the vicinity of an oceanic front

1989 ◽  
Vol 94 (C4) ◽  
pp. 4913 ◽  
Author(s):  
Siri Jodha Singh Khalsa ◽  
Gary K. Greenhut
1980 ◽  
Vol 5 (2) ◽  
pp. 67 ◽  
Author(s):  
M. S. Belen’kii ◽  
V. V. Boronoev ◽  
N. Ts. Gomboev ◽  
V. L. Mironov

2015 ◽  
Author(s):  
Petr A. Konyaev ◽  
Nina N. Botygina ◽  
Leonid V. Antoshkin ◽  
Oleg N. Emaleev ◽  
Vladimir P. Lukin

2019 ◽  
Vol 62 (12) ◽  
pp. 2058-2068 ◽  
Author(s):  
Yan Ren ◽  
Hongsheng Zhang ◽  
Wei Wei ◽  
Xuhui Cai ◽  
Yu Song ◽  
...  

Atmosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 661 ◽  
Author(s):  
Artem Shikhovtsev ◽  
Pavel Kovadlo ◽  
Vladimir Lukin ◽  
Victor Nosov ◽  
Alexander Kiselev ◽  
...  

The paper focuses on the investigations of the optical turbulence structure. The distributions of the repeatability of the structure characteristic of the air refractive index are obtained. A scenario of decreasing the intensity of the optical turbulence in the summer is discussed. Numerical estimates of this scenario are given. Using classical methods of wavefront analysis, the results of the first studies of the vertical structure of atmospheric turbulence at the Baykal astrophysical observatory site are presented.


Author(s):  
Yagya Dutta Dwivedi ◽  
Vasishta Bhargava Nukala ◽  
Satya Prasad Maddula ◽  
Kiran Nair

Abstract Atmospheric turbulence is an unsteady phenomenon found in nature and plays significance role in predicting natural events and life prediction of structures. In this work, turbulence in surface boundary layer has been studied through empirical methods. Computer simulation of Von Karman, Kaimal methods were evaluated for different surface roughness and for low (1%), medium (10%) and high (50%) turbulence intensities. Instantaneous values of one minute time series for longitudinal turbulent wind at mean wind speed of 12 m/s using both spectra showed strong correlation in validation trends. Influence of integral length scales on turbulence kinetic energy production at different heights is illustrated. Time series for mean wind speed of 12 m/s with surface roughness value of 0.05 m have shown that variance for longitudinal, lateral and vertical velocity components were different and found to be anisotropic. Wind speed power spectral density from Davenport and Simiu profiles have also been calculated at surface roughness of 0.05 m and compared with k−1 and k−3 slopes for Kolmogorov k−5/3 law in inertial sub-range and k−7 in viscous dissipation range. At high frequencies, logarithmic slope of Kolmogorov −5/3rd law agreed well with Davenport, Harris, Simiu and Solari spectra than at low frequencies.


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