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

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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
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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
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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
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