Relevant bibliographies by topics / Atmospheric turbulence

Academic literature on the topic 'Atmospheric turbulence'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Atmospheric turbulence"

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Wang, Fazhi, Wenhe Du, Qi Yuan, Daosen Liu, and Shuang Feng. "A Survey of Structure of Atmospheric Turbulence in Atmosphere and Related Turbulent Effects." Atmosphere 12, no. 12 (December 2, 2021): 1608. http://dx.doi.org/10.3390/atmos12121608.

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The Earth’s atmosphere is the living environment in which we live and cannot escape. Atmospheric turbulence is a typical random inhomogeneous medium, which causes random fluctuations of both the amplitude and phase of optical wave propagating through it. Currently, it is widely accepted that there exists two kinds of turbulence in the aerosphere: one is Kolmogorov turbulence, and the other is non-Kolmogorov turbulence, which have been confirmed by both increasing experimental evidence and theoretical investigations. The results of atmospheric measurements have shown that the structure of atmospheric turbulence in the Earth’s atmosphere is composed of Kolmogorov turbulence at lower levels and non-Kolmogorov turbulence at higher levels. Since the time of Newton, people began to study optical wave propagation in atmospheric turbulence. In the early stage, optical wave propagation in Kolmogorov atmospheric turbulence was mainly studied and then optical wave propagation in non-Kolmogorov atmospheric turbulence was also studied. After more than half a century of efforts, the study of optical wave propagation in atmospheric turbulence has made great progress, and the theoretical results are also used to guide practical applications. On this basis, we summarize the development status and latest progress of propagation theory in atmospheric turbulence, mainly including propagation theory in conventional Kolmogorov turbulence and one in non-Kolmogorov atmospheric turbulence. In addition, the combined influence of Kolmogorov and non-Kolmogorov turbulence in Earth’s atmosphere on optical wave propagation is also summarized. This timely summary is very necessary and is of great significance for various applications and development in the aerospace field, where the Earth’s atmosphere is one part of many links.
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Xu, Manman, Shiyong Shao, Ningquan Weng, Liangping Zhou, Qing Liu, and Yuefeng Zhao. "Atmospheric Optical Turbulence Characteristics over the Ocean Relevant to Astronomy and Atmospheric Physics." Applied Sciences 11, no. 22 (November 9, 2021): 10548. http://dx.doi.org/10.3390/app112210548.

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Due to the space and time constraints of turbulence measurement equipment and the experiment scene, it is difficult to obtain the atmosphere refractive index structure constant over the ocean. In this paper, the characteristics of atmospheric optical turbulence in offshore and open ocean conditions are summarized by analyzing the meteorological data obtained from two ocean atmospheric optical parameter field experiments. Because of the influence of land undersurface, the turbulence strength in offshore conditions is roughly the same as that on land and presents different characteristics in open ocean. Compared with the offshore area, the turbulence strength over the open ocean near-surface decreases during the day and increases at night, and the diurnal variation characteristics weaken. The turbulence strength profiles over the offshore area show different characteristics at different times, where the turbulence strength in the morning is higher than that in the evening. By retrieving the meteorological factors affecting the turbulence, it is found that the temperature gradient and wind shear are in good agreement with turbulence strength in both offshore and open ocean areas. Furthermore, the integrated parameters for astronomy and optical telecommunication are derived from profiles over the offshore and open ocean areas. It is of great significance to research the turbulent characteristics of ocean atmosphere for optical transmission and astronomical observations.
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Seitz, Joseph, Shiyuan Zhong, Joseph J. Charney, Warren E. Heilman, Kenneth L. Clark, Xindi Bian, Nicholas S. Skowronski, et al. "Atmospheric turbulence observed during a fuel-bed-scale low-intensity surface fire." Atmospheric Chemistry and Physics 24, no. 2 (January 26, 2024): 1119–42. http://dx.doi.org/10.5194/acp-24-1119-2024.

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Abstract. The ambient atmospheric environment affects the growth and spread of wildland fires, whereas heat and moisture released from the fires and the reduction of the surface drag in the burned areas can significantly alter local atmospheric conditions. Observational studies on fire–atmosphere interactions have used instrumented towers to collect data during prescribed fires, but a few towers in an operational-scale burn plot (usually > 103 m2) have made it extremely challenging to capture the myriad of factors controlling fire–atmosphere interactions, many of which exhibit strong spatial variability. Here, we present analyses of atmospheric turbulence data collected using a 4 × 4 array of fast-response sonic anemometers during a fire experiment on a 10 m × 10 m burn plot. In addition to confirming some of the previous findings on atmospheric turbulence associated with low-intensity surface fires, our results revealed substantial heterogeneity in turbulent intensity and heat and momentum fluxes just above the combustion zone. Despite the small plot (100 m2), fire-induced atmospheric turbulence exhibited strong dependence on the downwind distance from the initial line fire and the relative position specific to the fire front as the surface fire spread through the burn plot. This result highlights the necessity for coupled atmosphere–fire behavior models to have 1–2 m grid spacing to resolve heterogeneities in fire–atmosphere interactions that operate on spatiotemporal scales relevant to atmospheric turbulence. The findings here have important implications for modeling smoke dispersion, as atmospheric dispersion characteristics in the vicinity of a wildland fire are directly affected by fire-induced turbulence.
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Liu, Xianlong, Fei Wang, Minghui Zhang, and Yangjian Cai. "Effects of Atmospheric Turbulence on Lensless Ghost Imaging with Partially Coherent Light." Applied Sciences 8, no. 9 (August 28, 2018): 1479. http://dx.doi.org/10.3390/app8091479.

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Ghost imaging with partially coherent light through two kinds of atmospheric turbulences: monostatic turbulence and bistatic turbulence, is studied, both theoretically and experimentally. Based on the optical coherence theory and the extended Huygens–Fresnel integral, the analytical imaging formulae in two kinds of turbulence have been derived with the help of a tensor method. The visibility and quality of the ghost image in two different atmospheric turbulences are discussed in detail. Our results reveal that in bistatic turbulence, the visibility and quality of the image decrease with the increase of the turbulence strength, while in monostatic turbulence, the image quality remains invariant when turbulence strength changes in a certain range, only the visibility decreases with the increase of the strength of turbulence. Furthermore, we carry out experimental demonstration of lensless ghost imaging through monostatic and bistatic turbulences in the laboratory, respectively. The experiment results agree well with the theoretical predictions. Our results solve the controversy about the influence of atmospheric turbulence on ghost imaging.
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Mokhov, I. I., O. G. Chkhetiani, and I. A. Repina. "Turbulence, Atmosphere and Climate Dynamics." IOP Conference Series: Earth and Environmental Science 1040, no. 1 (June 1, 2022): 011001. http://dx.doi.org/10.1088/1755-1315/1040/1/011001.

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Abstract The conference "Turbulence, Atmosphere and Climate Dynamics" dedicated to the memory of the Alexander M. Obukhov was held in Moscow from November 10 to 12, 2020. The topics of the conference covered the following scientific areas: turbulence; geophysical hydrodynamics; atmospheric and climate system dynamics; physics and composition of the atmosphere; air-sea interaction; wave propagation. The conference showed a high scientific level of almost all the presentations. Studies of turbulent, climatic and atmospheric processes are traditionally conducted in our country at the highest level, as evidenced by the publication in high-ranking scientific journals and the active participation of Russian scientists in international programs. List of Program committee, Organizing committee are avilable in this pdf.
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Klyuev, Dmitriy S., Andrey N. Volobuev, Sergei V. Krasnov, Kaira A. Adyshirin-Zade, Tatyana A. Antipova, and Natalia N. Aleksandrova. "Occurrence of fluctuations in the amplitude and phase of the radio signal in a turbulent atmosphere." Physics of Wave Processes and Radio Systems 26, no. 1 (March 30, 2023): 28–37. http://dx.doi.org/10.18469/1810-3189.2023.26.1.28-37.

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Abstract Interaction of an electromagnetic wave, as the determined wave process spreading in an atmosphere and atmospheric turbulence, as stationary stochastic wave process is considered. The differential equation for eikonal fluctuations of an electromagnetic wave is received. On basis of this equation the occurrence of amplitude and a phase fluctuations of an electromagnetic wave at distribution of a radio signal into a turbulent atmosphere is investigated. In particular the differential equations for fluctuations of amplitude and a phase of the electromagnetic wave caused by turbulent pulsations of a parameter of an atmosphere refraction are received and solved. Fourier-spectra of two-point correlations of a parameter of an atmosphere refraction, amplitude and a phase of an electromagnetic wave are considered. Are received also by a method of introduction of Greens function the differential equations for these correlations are solved. On basis of the analysis of various wave ranges of an atmospheric power spectrum of turbulence the dependences of amplitude and a phase Fourier-spectra of a radio signal on parameters of an electromagnetic wave and turbulence of an atmosphere are found.
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Avsarkisov, Victor, Erich Becker, and Toralf Renkwitz. "Turbulent Parameters in the Middle Atmosphere: Theoretical Estimates Deduced from a Gravity Wave–Resolving General Circulation Model." Journal of the Atmospheric Sciences 79, no. 4 (April 2022): 933–52. http://dx.doi.org/10.1175/jas-d-21-0005.1.

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Abstract We present a scaling analysis for the stratified turbulent and small-scale turbulent regimes of atmospheric flow with emphasis on the mesosphere. We distinguish rotating-stratified macroturbulence turbulence (SMT), stratified turbulence (ST), and small-scale isotropic Kolmogorov turbulence (KT), and we specify the length and time scales and the characteristic velocities for these regimes. It is shown that the buoyancy scale (Lb) and the Ozmidov scale (Lo) are the main parameters that describe the transition from SMT to KT. We employ the buoyancy Reynolds number and horizontal Froude number to characterize ST and KT in the mesosphere. This theory is applied to simulation results from a high-resolution general circulation model with a Smagorinsky-type turbulent diffusion scheme for the subgrid-scale parameterization. The model allows us to derive the turbulent root-mean-square (rms) velocity in the KT regime. It is found that the turbulent RMS velocity has a single maximum in summer and a double maximum in winter months. The secondary maximum in the winter MLT we associate with a secondary gravity wave–breaking phenomenon. The turbulent rms velocity results from the model agree well with full correlation analyses based on MF-radar measurements. A new scaling for the mesoscale horizontal velocity based on the idea of direct energy cascade in mesoscales is proposed. The latter findings for mesoscale and small-scale characteristic velocities support the idea proposed in this research that mesoscale and small-scale dynamics in the mesosphere are governed by SMT, ST, and KT in the statistical average. Significance Statement Mesoscale dynamics in the middle atmosphere, which consists of atmospheric turbulence and gravity waves, remains a complex problem for atmospheric physics and climate studies. Due to its high nonlinearity, the mesoscale dynamics together with the small-scale turbulence is the primary source of uncertainties and biases in high-altitude general circulation models (GCM) in the middle atmosphere. We use the stratified turbulence theory and the gravity wave–resolving GCM to characterize different scaling regimes and to define various length, time, and velocity scales, that are relevant for the mesoscale and small-scale dynamical regimes. Our results highlight the importance of stratified turbulence in the mesosphere and lower-thermosphere region.
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Kovadlo, P. G., A. Yu Shikhovtsev, E. A. Kopylov, A. V. Kiselev, and I. V. Russkikh. "The study of the optical atmospheric distortions uning the wavefront sensor data." Izvestiya vysshikh uchebnykh zavedenii. Fizika, no. 11 (2020): 109–14. http://dx.doi.org/10.17223/00213411/63/11/109.

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The paper is aimed to the study of the optical turbulence structure at the site of the Large solar vacuum telescope site. Results concerning observed wavefront distortions are given for expanding the data archive. The possibilities to reveal the optical turbulence layers in the atmosphere are discussed. The estimations of the heights of the atmospheric turbulent layers in the boundary layer are performed.
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Bursik, Marcus, Qingyuan Yang, Adele Bear-Crozier, Michael Pavolonis, and Andrew Tupper. "The Development of Volcanic Ash Cloud Layers over Hours to Days Due to Atmospheric Turbulence Layering." Atmosphere 12, no. 2 (February 23, 2021): 285. http://dx.doi.org/10.3390/atmos12020285.

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Volcanic ash clouds often become multilayered and thin with distance from the vent. We explore one mechanism for the development of this layered structure. We review data on the characteristics of turbulence layering in the free atmosphere, as well as examples of observations of layered clouds both near-vent and distally. We then explore dispersion models that explicitly use the observed layered structure of atmospheric turbulence. The results suggest that the alternation of turbulent and quiescent atmospheric layers provides one mechanism for the development of multilayered ash clouds by modulating vertical particle motion. The largest particles, generally μ>100 μm, are little affected by turbulence. For particles in which both settling and turbulent diffusion are important to vertical motion, mostly in the range of 10–100 μμm, the greater turbulence intensity and more rapid turbulent diffusion in some layers causes these particles to spend greater time in the more turbulent layers, leading to a layering of concentration. The results may have important implications for ash cloud forecasting and aviation safety.
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Guan, Bing, Haiyang Yu, Wei Song, and Jaeho Choi. "Wave Structure Function and Long-Exposure MTF for Gaussian-Beam Waves Propagating in Anisotropic Maritime Atmospheric Turbulence." Applied Sciences 10, no. 16 (August 7, 2020): 5484. http://dx.doi.org/10.3390/app10165484.

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The expressions of wave structure function (WSF) and long-exposure modulation transfer function (MTF) for laser beam propagation through non-Kolmogorov turbulence were derived in our previous work. In this paper, based on anisotropic maritime atmospheric non-Kolmogorov spectrum, the new analytic expression of WSF for Gaussian-beam waves propagation through turbulent atmosphere in a horizontal path is derived. Moreover, using this newly derived expression, long-exposure MTF for Gaussian-beam waves is obtained for analyzing the degrading effects in an imaging system. Using the new expressions, WSF and MTF for Gaussian-beam waves propagating in terrestrial and maritime atmospheric turbulence are evaluated. The simulation results show that Gaussian-beam waves propagation through maritime turbulence obtain more degrading effects than terrestrial turbulence due to the humidity and temperature fluctuations. Additionally, the degrading effects under anisotropic turbulence get less loss than that of isotropic turbulence.
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Dissertations / Theses on the topic "Atmospheric turbulence"

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Nicholls, Thomas William. "Atmospheric turbulence measurements relevant to adaptive optics." Thesis, Imperial College London, 1996. http://hdl.handle.net/10044/1/11487.

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Song, Xuegui. "Subcarrier optical wireless communications in atmospheric turbulence." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50010.

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In this thesis, we focus on performance study of subcarrier optical wireless communications (OWC) systems in atmospheric turbulence. Laser beam propagating through turbulence channel induces scintillation and phase aberration, which can result in significant performance degradation. The error rate performance of subcarrier OWC systems with lower order phase-shift keying (PSK) over the Gamma-Gamma turbulence channels is investigated using a direct integration method. Such analysis is generalized to M-ary PSK modulated OWC systems over strong atmospheric turbulence channels through a moment generating function approach. Since noncoherent or differentially coherent modulation schemes do not require carrier phase information at the receiver, such modulation schemes can be employed in scenarios where the carrier phase information cannot be tracked accurately. Error rate expressions of such OWC systems with noncoherent or differentially coherent modulation schemes over the Gamma-Gamma turbulence channels are also developed. Asymptotic relative performance of subcarrier OWC systems with noncoherent or differentially coherent modulation schemes with respect to those using coherent modulation schemes is quantified analytically. Besides atmospheric turbulence, other sources can also introduce performance degradation to an outdoor OWC system. Through our analysis, it is shown that pointing errors can also degrade the performance of an OWC system significantly. The effect of pointing errors together with the Gamma-Gamma turbulence channel can be evaluated using the analytical tools we developed. As another performance impairment source, the effect of carrier phase synchronization error on performance of subcarrier binary PSK and quadrature PSK systems over atmospheric turbulence channels is also studied. In order to quantify the asymptotic noise reference loss for OWC systems over the lognormal channels, a novel auxiliary random variable technique is introduced. Since the performance of outdoor subcarrier OWC systems is found to be impaired severely under strong turbulence conditions, spatial diversity techniques are introduced to mitigate the effects of turbulence induced fading. Multiple-input multiple-output OWC systems with repetition code and the Alamouti type orthogonal space-time block code are considered for the Gamma-Gamma turbulence channels. The performance analysis confirms that repetition code outperforms orthogonal space-time block code although both schemes achieve full diversity.
Applied Science, Faculty of
Engineering, School of (Okanagan)
Graduate
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Robinson, C. G. "The effect of atmospheric turbulence of trains." Thesis, University of Nottingham, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235563.

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Ayers, Geoffrey Robert. "Correlation techniques for imaging through atmospheric turbulence." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/47343.

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Charrier, Benoit. "Drag considerations for flight in atmospheric turbulence." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/52080.

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The distribution of lift between the wing and tail surfaces of a conventional aircraft is examined in order to determine the combination that would produce the minimum drag for a given lift. Further, the center of gravity (CG) position which gives the desired lift distribution and at the same time, maintains aircraft trim is determined. Furthermore, a classic set of non-linear equations of motion for longitudinal flight is reduced to a set of linear equations by linearization. The location of the CG of the aircraft is then changed and a linear feedback control law is used to retain the dynamic characteristic (flying qualities) of the airplane. The response of the aircraft to an external disturbance such as a gust (modeled with a stochastic process) is studied in terms of drag versus CG position. Finally, it is shown that the position of the CG for minimum drag should be determined with consideration of the expected atmospheric turbulence.
Master of Science
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Canavero, Flavio Giovanni. "Variability of atmospheric pressure spectra in the Po Valley." Diss., Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/26029.

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Mohr, Judy Lynette. "Atmospheric Turbulence Characterisation Using Scintillation Detection and Ranging." Thesis, University of Canterbury. Department of Physics and Astronomy, 2009. http://hdl.handle.net/10092/3195.

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Astronomical images taken by ground-based telescopes are subject to aberrations induced by the Earth's atmosphere. Adaptive optics (AO) provides a real-time solution to compensate for aberrated wavefronts. The University of Canterbury would like to install an AO system on the 1-m McLellan telescope at Mount John University Observatory (MJUO). The research presented in this thesis is the first step towards this goal. To design an effective AO system it is important to understand the characteristics of the optical turbulence present at a site. Scintillation detection and ranging (SCIDAR) is a remote sensing method capable of measuring the refractive index structure constant, Cn2(h), and the wind velocity profile, V(h). The dominant near ground turbulence (NGT) at MJUO required the use of both pupil-plane and generalised SCIDAR. A purpose-built SCIDAR system was designed and constructed at low cost, using primarily off-the-shelf components. UC-SCIDAR saw first light at MJUO in 2003, and has since undergone several revisions. The current version employs two channels for simultaneous pupil-plane and generalised SCIDAR measurements, and is very portable. Through the use of a different mounting plate the system could be easily placed onto any telescope. Cn2(h) profiling utilised standard analysis techniques. V(h) profiling using data from a 1-m telescope is not common, and existing analysis techniques were extended to provide meaningful V(h) profiles, via the use of partial triplet analysis. Cn2(h) profiling between 2005 and 2007 indicate strong NGT and a weak turbulent layer located at 12 - 14 km above sea level, associated with the tropopause region. During calm weather conditions, an additional layer was detected at 6 - 7 km above sea level. V(h) profiles suggest that the tropopause layer velocity is nominally 12 - 30 m/s, and that NGT velocities range from 2 m/s to over 20 m/s, dependent on weather. Little seasonal variation was detected in either Cn2(h) or V(h) profiles. The average coherence length, $r_0$, was found to be 12+-5 cm and 7+-1 cm for pupil-plane and generalised measurements respectively, for a wavelength of 589 nm. The average isoplanatic angle, $\theta_0$, was 1.5+-0.5 arcseconds and 1.1+-0.4 arcseconds for pupil-plane and generalised profiles respectively. No seasonal trends could be established in the measurements for the Greenwood frequency, $f_G$, due to gaps present in the V(h) profiles obtained. A modified Hufnagel-Valley (HV) model was developed to describe the Cn2(h) profiles at MJUO. The estimated $r_0$ from the model is 6 cm for a wavelength of 589 nm, corresponding to an uncompensated angular resolution, $\theta_{res}$, of 2.5 arcseconds. $\theta_0$ is 0.9 arcseconds. A series of V(h) models were developed, based on the Greenwood wind model with an additional Gaussian peak located at low altitudes, to encompass the various V(h) profiles seen at MJUO. Using the modified HV model for Cn2(h) profiles and the suggested model for V(h) profiles in the presence of moderate ground wind speeds, $f_G$ is estimated at 79 Hz. The Tyler frequency, $f_T$, is estimated at 11 Hz. Due to financial considerations, it is suggested that the initial AO design for MJUO focuses on the correction of tip/tilt only, utilising self-guiding, as it is unlikely that any suitable guide stars would be sufficiently close to the science object. The low $f_T$ suggests that an AO system with a bandwidth in the order of 60 Hz would be adequate for tip/tilt correction.
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Turner, Barry John. "Studies of atmospheric turbulence using the wavelet transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0018/NQ50273.pdf.

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Niu, Mingbo. "Coherent optical wireless communications over atmospheric turbulence channels." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43813.

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Recent advances in free-space optics have made outdoor optical wireless communication (OWC) an attractive solution to the “last-mile” problem of broadband access networks. Significant chal- lenges can, however, arise for OWC links with increased levels of atmospheric turbulence from time-varying temperatures and pressures. As a promising alternative to the current generation of on-off keying (OOK) direct detection based OWC system, the coherent OWC system is studied in this thesis for a variety of turbulence conditions. Since coherent OWC system performance is found to be impaired severely under strong turbulence conditions, spatial diversity techniques, e.g., maximum ratio combining (MRC), equal gain combining (EGC), and selection combining (SC), are adopted to overcome turbulence impacts. The results are then generalized to Gamma-Gamma turbulence for MRC and EGC with perfect channel or phase estimation. The impacts of phase noise compensation error on coherent OWC system performance are investigated, and it is found that such impacts can be small when the standard deviation of the phase noise compensation error is kept below twenty degrees. A postdetection EGC scheme using differential phase-shift keying (PSK) is proposed and is shown to be a viable alternative to overcome phase noise impacts. The subcarrier intensity modulation (SIM) based OWC system has been proposed as another alternative to the OOK system. With a unified average signal-to-noise ratio definition, system per- formance is compared for coherent and SIM links over the Gamma-Gamma turbulence channels. Closed-form error rate expressions are derived for coherent and SIM systems using MRC, EGC and SC schemes. It is found that the coherent systems outperform the SIM systems significantly. The benefits of coherent systems come chiefly from the large local oscillator power which eliminates the effects of the thermal and ambient noises that dominate in SIM systems.
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Lazeroms, Werner. "Turbulence modelling applied to the atmospheric boundary layer." Doctoral thesis, KTH, Turbulens, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166806.

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Turbulent flows affected by buoyancy lie at the basis of many applications, both within engineering and the atmospheric sciences. A prominent example of such an application is the atmospheric boundary layer, the lowest layer of the atmosphere, in which many physical processes are heavily influenced by both stably stratified and convective turbulent transport. Modelling these turbulent flows correctly, especially in the presence of stable stratification, has proven to be a great challenge and forms an important problem in the context of climate models. In this thesis, we address this issue considering an advanced class of turbulence models, the so-called explicit algebraic models.In the presence of buoyancy forces, a mutual coupling between the Reynolds stresses and the turbulent heat flux exists, which makes it difficult to derive a fully explicit turbulence model. A method to overcome this problem is presented based on earlier studies for cases without buoyancy. Fully explicit and robust models are derived for turbulence in two-dimensional mean flows with buoyancy and shown to give good predictions compared with various data from direct numerical simulations (DNS), most notably in the case of stably stratified turbulent channel flow. Special attention is given to the problem of determining the production-to-dissipation ratio of turbulent kinetic energy, for which the exact equation cannot be solved analytically. A robust approximative method is presented to calculate this quantity, which is important for obtaining a consistent formulation of the model.The turbulence model derived in this way is applied to the atmospheric boundary layer in the form of two idealized test cases. First, we consider a purely stably stratified boundary layer in the context of the well-known GABLS1 study. The model is shown to give good predictions in this case compared to data from large-eddy simulation (LES). The second test case represents a full diurnal cycle containing both stable stratification and convective motions. In this case, the current model yields interesting dynamical features that cannot be captured by simpler models. These results are meant as a first step towards a more thorough investigation of the pros and cons of explicit algebraic models in the context of the atmospheric boundary layer, for which additional LES data are required.

QC 20150522

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Books on the topic "Atmospheric turbulence"

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., ed. Soliton turbulence. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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Foden, Giles. Turbulence. New York: Alfred A. Knopf, 2010.

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Wieser, Andreas. Messung turbulenter Spurengasflüsse vom Flugzeug aus. Karlsruhe: Selbstverlag des Institutes für Meteorologie und Klimaforsschung der Universität Karlsruhe, 2005.

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Wieser, Andreas. Messung turbulenter Spurengasflüsse vom Flugzeug aus. [Karlsruhe]: Selbstverlag des Instituts für Meteorologie und Klimaforschung der Universität Karlsruhe, 2005.

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Tuck, Adrian F. Atmospheric turbulence: A molecular dynamics perspective. Oxford: Oxford University Press, 2008.

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Tuck, Adrian F. Atmospheric turbulence: A molecular dynamics perspective. Oxford: Oxford University Press, 2008.

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R, Lang Peter, and Lombargo Frank S, eds. Atmospheric turbulence, meteorological modeling, and aerodynamics. Hauppauge, NY: Nova Science Publishers, 2009.

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Noback, R. Atmospheric turbulence spectra and correlation functions. Amsterdam: National Aerospace Laboratory, 1989.

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J, Lataitis R., Wilson James J, and Wave Propagation Laboratory, eds. Frequency correlation of atmospheric scintillation. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1991.

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J, Lataitis R., Wilson James J, and Wave Propagation Laboratory, eds. Frequency correlation of atmospheric scintillation. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1991.

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Book chapters on the topic "Atmospheric turbulence"

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Salomons, Erik M. "Atmospheric turbulence." In Computational Atmospheric Acoustics, 67–76. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0660-6_5.

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Heilman, Warren E., Craig B. Clements, Shiyuan Zhong, Kenneth L. Clark, and Xindi Bian. "Atmospheric Turbulence." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, 1–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-51727-8_137-1.

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Heilman, Warren E., Craig B. Clements, Shiyuan Zhong, Kenneth L. Clark, and Xindi Bian. "Atmospheric Turbulence." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, 19–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-52090-2_137.

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Glindemann, Andreas. "Atmospheric Turbulence." In Astronomy and Astrophysics Library, 157–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15028-9_4.

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Satoh, Masaki. "Turbulence." In Atmospheric Circulation Dynamics and General Circulation Models, 293–322. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_11.

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Kim, Chang Ki, and Seong Soo Yum. "Turbulence in Marine Fog." In Springer Atmospheric Sciences, 245–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45229-6_4.

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Glindemann, Andreas. "Observing Through Atmospheric Turbulence." In Astronomy and Astrophysics Library, 275–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15028-9_6.

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Lee, Xuhui. "Generation and Maintenance of Atmospheric Turbulence." In Springer Atmospheric Sciences, 57–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60853-2_4.

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Lee, Xuhui. "Generation and Maintenance of Atmospheric Turbulence." In Springer Atmospheric Sciences, 67–92. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-32668-4_4.

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Tebaldi, Claudia, Doug Nychka, Barbara Brown, and Bob Sharman. "Predicting Clear-Air Turbulence." In Studies in the Atmospheric Sciences, 133–51. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-2112-8_9.

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Conference papers on the topic "Atmospheric turbulence"

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Nosov, V. V., P. G. Kovadlo, V. P. Lukin, and A. V. Torgaev. "Atmospheric coherent turbulence." In SPIE Astronomical Telescopes + Instrumentation, edited by Brent L. Ellerbroek, Enrico Marchetti, and Jean-Pierre Véran. SPIE, 2012. http://dx.doi.org/10.1117/12.925596.

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He, Renjie, Zhiyong Wang, Yangyu Fan, and David Fengg. "Atmospheric turbulence mitigation based on turbulence extraction." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7471915.

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Xiao, Xudong, D. McRae, Hassan Hassan, Frank Ruggiero, and George Jumper. "Modeling Atmospheric Optical Turbulence." In 44th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-77.

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McMillan, R. W., R. A. Bohlander, R. H. Platt, D. M. Guillory, J. T. Priestley, R. J. Hill, S. F. Clifford, R. E. Cupp, and J. Wilson. "Atmospheric Turbulence Measurement System." In 1985 Technical Symposium East, edited by James C. Wiltse. SPIE, 1985. http://dx.doi.org/10.1117/12.948276.

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Kamenetsky, Dmitri, Michael Zucchi, Geoff Nichols, David Booth, and Andrew Lambert. "Interactive Atmospheric Turbulence Mitigation." In 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2016. http://dx.doi.org/10.1109/dicta.2016.7797055.

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Lukin, V. P., V. V. Nosov, E. V. Nosov, and A. V. Torgaev. "Influence of atmospheric turbulence scales." In XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, edited by Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2205784.

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Nosov, V. V., V. P. Lukin, E. V. Nosov, and A. V. Torgaev. "Turbulence structure over inhomogeneous heated surface." In XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, edited by Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2203352.

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Consortini, A., K. A. O’donnell, and G. Conforti. "Measuring the Inner scale of atmospheric turbulence by laser beam wandering." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.mz2.

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Values of the inner scale of atmospheric turbulence can be obtained through measurements of either differential angle-of-arrival fluctuations or intensity fluctuations of laser radiation propagated through the atmosphere. Here we propose a method based on the measurement of correlation functions of wandering of beams that have propagated through the turbulent path. A theoretical analysis is developed for different models of the atmospheric turbulence. Some experimental results are also described.
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Martos, Borja, and Eugene Morelli. "Using Indirect Turbulence Measurements for Real-Time Parameter Estimation in Turbulent Air." In AIAA Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-4651.

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Banakh, Viktor A., Igor N. Smalikho, and Iya V. Zaloznaya. "Lidar localization of clear air turbulence." In 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, edited by Oleg A. Romanovskii and Gennadii G. Matvienko. SPIE, 2022. http://dx.doi.org/10.1117/12.2644758.

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Reports on the topic "Atmospheric turbulence"

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Goedecke, George H., D. K. Wilson, Vladimir E. Ostashev, and Harry J. Auvermann. Quasi-Wavelet Models for Atmospheric Turbulence. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada413962.

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Hart, Carl, and Gregory Lyons. A tutorial on the rapid distortion theory model for unidirectional, plane shearing of homogeneous turbulence. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44766.

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The theory of near-surface atmospheric wind noise is largely predicated on assuming turbulence is homogeneous and isotropic. For high turbulent wavenumbers, this is a fairly reasonable approximation, though it can introduce non-negligible errors in shear flows. Recent near-surface measurements of atmospheric turbulence suggest that anisotropic turbulence can be adequately modeled by rapid-distortion theory (RDT), which can serve as a natural extension of wind noise theory. Here, a solution for the RDT equations of unidirectional plane shearing of homogeneous turbulence is reproduced. It is assumed that the time-varying velocity spectral tensor can be made stationary by substituting an eddy-lifetime parameter in place of time. General and particular RDT evolution equations for stochastic increments are derived in detail. Analytical solutions for the RDT evolution equation, with and without an effective eddy viscosity, are given. An alternative expression for the eddy-lifetime parameter is shown. The turbulence kinetic energy budget is examined for RDT. Predictions by RDT are shown for velocity (co)variances, one-dimensional streamwise spectra, length scales, and the second invariant of the anisotropy tensor of the moments of velocity. The RDT prediction of the second invariant for the velocity anisotropy tensor is shown to agree better with direct numerical simulations than previously reported.
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Hacker, Jorg M., and Don Wroblewski. Analyses of Aircraft Measurement of Atmospheric Turbulence. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada503222.

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Tunick, Arnold. Calculating the Microstructure of Atmospheric Optical Turbulence. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada358511.

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Wilson, David K. Performance of Acoustic Tracking Arrays in Atmospheric Turbulence. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada327901.

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Korotkova, Olga. Propagation of Stochastic Electromagentic Fields in Atmospheric Turbulence. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada563401.

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Auvermann, Harry J., and George H. Goedecke. Acoustic Scattering into Shadow Zones from Atmospheric Turbulence. Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada381269.

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Baskett, R. (Turbulence and diffusion in the atmospheric boundary layer). Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/7119981.

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Min, Misun, and Ananias Tombouldies. Simulating Atmospheric Boundary Layer Turbulence with Nek5000/RS. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1891130.

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Hart, Carl R., D. Keith Wilson, Chris L. Pettit, and Edward T. Nykaza. Machine-Learning of Long-Range Sound Propagation Through Simulated Atmospheric Turbulence. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41182.

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Conventional numerical methods can capture the inherent variability of long-range outdoor sound propagation. However, computational memory and time requirements are high. In contrast, machine-learning models provide very fast predictions. This comes by learning from experimental observations or surrogate data. Yet, it is unknown what type of surrogate data is most suitable for machine-learning. This study used a Crank-Nicholson parabolic equation (CNPE) for generating the surrogate data. The CNPE input data were sampled by the Latin hypercube technique. Two separate datasets comprised 5000 samples of model input. The first dataset consisted of transmission loss (TL) fields for single realizations of turbulence. The second dataset consisted of average TL fields for 64 realizations of turbulence. Three machine-learning algorithms were applied to each dataset, namely, ensemble decision trees, neural networks, and cluster-weighted models. Observational data come from a long-range (out to 8 km) sound propagation experiment. In comparison to the experimental observations, regression predictions have 5–7 dB in median absolute error. Surrogate data quality depends on an accurate characterization of refractive and scattering conditions. Predictions obtained through a single realization of turbulence agree better with the experimental observations.
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