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Karhunen–Loeve functions for non-Kolmogorov turbulence

Journal of Turbulence, 2017
ABSTRACTKarhunen–Loeve functions for the case of non-Kolmogorov turbulence are calculated. The calculations are performed using the covariance matrix of Zernike coefficients which is derived in analytical form. It is shown that the Karhunen–Loeve expansion is more efficient than the Zernike one for simulations of high-order, turbulence-induced phase ...
Valeri Orlov, Valeri Voitsekhovich
openaire   +3 more sources

Impact of Non-Kolmogorov Turbulence on Scintillometer

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 2021
This study uses simulation to explore the effects of experimentally measured non-Kolmogorov turbulence on scintillometer readings. The results show that the useful- ness of the scintillometer readings depends on the turbulence characteristics.
Cristian Villatoro, Noah R. Van Zandt
openaire   +1 more source

Causes of non-Kolmogorov turbulence in the atmosphere

Applied Optics, 2016
In the present work, we briefly describe a model for atmospheric turbulence energy on the basis of experimental data obtained in Siberia. A series of new studies is considered and the results of our long-term experimental observations are summarized. The results of these studies form the basis for an explanation of some effects in interactions between ...
V P, Lukin   +3 more
openaire   +2 more sources

Phase Screen Generation for Non-Kolmogorov Turbulence

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), 2022
Measurements of atmospheric turbulence frequently show non-Kolmogorov statistics. This paper explores two methods of numerical phase screen generation for such turbulence. The results show that both methods are accurate, but one runs 285 times faster.
Jason Salmanowitz, Noah R. Van Zandt
openaire   +1 more source

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