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Relevant bibliographies by topics / Atmospheric long-range propagation

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Journal articles

Academic literature on the topic 'Atmospheric long-range propagation'

Author: Grafiati

Published: 15 March 2023

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Journal articles on the topic "Atmospheric long-range propagation"

1

Averbuch, Gil, Jelle D. Assink, and Läslo G. Evers. "Long-range atmospheric infrasound propagation from subsurface sources." Journal of the Acoustical Society of America 147, no. 2 (2020): 1264–74. http://dx.doi.org/10.1121/10.0000792.

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2

Gibson, Robert G., and David E. Norris. "Long‐range infrasound propagation modeling using updated atmospheric characterizations." Journal of the Acoustical Society of America 112, no. 5 (2002): 2380. http://dx.doi.org/10.1121/1.4779677.

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3

Hart, Carl R., D. Keith Wilson, Chris L. Pettit, and Edward T. Nykaza. "Machine-learning of long-range sound propagation through simulated atmospheric turbulence." Journal of the Acoustical Society of America 149, no. 6 (2021): 4384–95. http://dx.doi.org/10.1121/10.0005280.

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4

Eisenmann, Shmuel, Einat Louzon, Yiftach Katzir, et al. "Control of the filamentation distance and pattern in long-range atmospheric propagation." Optics Express 15, no. 6 (2007): 2779. http://dx.doi.org/10.1364/oe.15.002779.

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5

Lim, Tea Heung, Minho Go, Chulhun Seo, and Hosung Choo. "Analysis of the Target Detection Performance of Air-to-Air Airborne Radar Using Long-Range Propagation Simulation in Abnormal Atmospheric Conditions." Applied Sciences 10, no. 18 (2020): 6440. http://dx.doi.org/10.3390/app10186440.

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In this paper, we propose the analysis of the target detection performance of air-to-air airborne radars using long-range propagation simulations with a novel quad-linear refractivity model under abnormal atmospheric conditions. The radar propagation characteristics and the target detection performance are simulated using the Advanced Refractive Effects Prediction System (AREPS) software, where the refractivity along the altitude, array antenna pattern, and digital terrain elevation data are considered as inputs to obtain the path loss of the wave propagation. The quad-linear model is used to approximate the actual refractivity data, which are compared to the data derived using the conventional trilinear refractivity model. On the basis of the propagation simulations, we propose a detection performance metric in terms of the atmosphere (DPMA) for intuitively examining the long-range propagation characteristics of airborne radars in air-to-air situations. To confirm the feasibility of using the DPMA map in various duct scenarios, we employ two actual refractive indices to observe the DPMA results in relation to the height of the airborne radar.

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6

Drob, D. P., D. Broutman, M. A. Hedlin, N. W. Winslow, and R. G. Gibson. "A method for specifying atmospheric gravity wavefields for long-range infrasound propagation calculations." Journal of Geophysical Research: Atmospheres 118, no. 10 (2013): 3933–43. http://dx.doi.org/10.1029/2012jd018077.

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7

Rajendran, K., and A. Kitoh. "Modulation of Tropical Intraseasonal Oscillations by Ocean–Atmosphere Coupling." Journal of Climate 19, no. 3 (2006): 366–91. http://dx.doi.org/10.1175/jcli3638.1.

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Abstract The impact of ocean–atmosphere coupling on the structure and propagation characteristics of 30–60-day tropical intraseasonal oscillations (TISOs) is investigated by analyzing long-term simulations of the Meteorological Research Institute coupled general circulation model (CGCM) and its stand-alone atmospheric general circulation model (AGCM) version forced with SSTs derived from the CGCM and comparing them with recent observation datasets [Global Precipitation Climatology Project (GPCP) precipitation, 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40), and Reynolds SST]. Composite events of (i) eastward propagating Madden–Julian oscillations (MJOs) during boreal winter and (ii) northward propagating intraseasonal oscillations (NPISOs) during boreal summer, constructed based on objective criteria, show that the three-dimensional structure, amplitude, and speed of propagation, and the phase relationship among surface fluxes, SST, and convection, are markedly improved in the CGCM simulation. Consistent with the frictional wave conditional instability of the second kind mechanism, successive development of low-level convergence to the east (north) of deep convection was found to be important for eastward (northward) propagation of MJO (NPISO). Complex interaction between large-scale dynamics and convection reveals the importance of atmospheric dynamics and suggests that they are intrinsic modes in the atmosphere where coupling is not essential for their existence. However, as in observations, realistic coupling in the CGCM is found to result in the evolution of TISOs as coupled modes through a coherent coupled feedback process. This acts as an amplifying mechanism for the existing propagating convective anomalies and plays an important modifying role toward a more realistic simulation of TISOs. In contrast, the simulated TISOs in its atmosphere-alone component lack many of the important features associated with their amplitude, phase, and life cycle. Thus, a realistic representation of the interaction between sea surface and the atmospheric boundary layer is crucial for a better simulation of TISOs.

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8

Tahira, Makoto. "A Study of the Long Range Propagation of Infrasonic Waves in the Atmosphere." Journal of the Meteorological Society of Japan. Ser. II 66, no. 1 (1988): 17–26. http://dx.doi.org/10.2151/jmsj1965.66.1_17.

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9

Hussain, Hammad, and Guillaume Dutilleux. "A parametric study of long-range atmospheric sound propagation using Bellhop Ray-tracing Model." Journal of the Acoustical Society of America 148, no. 4 (2020): 2562. http://dx.doi.org/10.1121/1.5147110.

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10

Waxler, Roger, Claus H. Hetzer, Jelle D. Assink, and Philip Blom. "A two-dimensional effective sound speed parabolic equation model for infrasound propagation with ground topography." Journal of the Acoustical Society of America 152, no. 6 (2022): 3659–69. http://dx.doi.org/10.1121/10.0016558.

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A terrain capable parabolic equation (PE) propagation algorithm for long range infrasound propagation modeling has been implemented using Padé approximations for the various operator valued functions that arise in PE algorithms. In this work, the influence of the winds are captured by the effective sound speed approximation and propagation is restricted to the range-altitude plane. The ground topography is included by the addition of an impenetrable fluid below the ground surface. The impedance condition at the ground is handled explicitly, including both vertical and radial components. It is found that including terrain can have a large influence on long range propagation. In particular, reflections from a sufficiently steep slope can change the inclination angle enough to move the propagation path from one atmospheric duct to another.

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