Auswahl der wissenschaftlichen Literatur zum Thema „Atmospheric long-range propagation“
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Zeitschriftenartikel zum Thema "Atmospheric long-range propagation":
Averbuch, Gil, Jelle D. Assink und Läslo G. Evers. „Long-range atmospheric infrasound propagation from subsurface sources“. Journal of the Acoustical Society of America 147, Nr. 2 (Februar 2020): 1264–74. http://dx.doi.org/10.1121/10.0000792.
Gibson, Robert G., und David E. Norris. „Long‐range infrasound propagation modeling using updated atmospheric characterizations“. Journal of the Acoustical Society of America 112, Nr. 5 (November 2002): 2380. http://dx.doi.org/10.1121/1.4779677.
Hart, Carl R., D. Keith Wilson, Chris L. Pettit und Edward T. Nykaza. „Machine-learning of long-range sound propagation through simulated atmospheric turbulence“. Journal of the Acoustical Society of America 149, Nr. 6 (Juni 2021): 4384–95. http://dx.doi.org/10.1121/10.0005280.
Eisenmann, Shmuel, Einat Louzon, Yiftach Katzir, Tala Palchan, Arie Zigler, Yonatan Sivan und Gadi Fibich. „Control of the filamentation distance and pattern in long-range atmospheric propagation“. Optics Express 15, Nr. 6 (2007): 2779. http://dx.doi.org/10.1364/oe.15.002779.
Lim, Tea Heung, Minho Go, Chulhun Seo und 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, Nr. 18 (16.09.2020): 6440. http://dx.doi.org/10.3390/app10186440.
Drob, D. P., D. Broutman, M. A. Hedlin, N. W. Winslow und R. G. Gibson. „A method for specifying atmospheric gravity wavefields for long-range infrasound propagation calculations“. Journal of Geophysical Research: Atmospheres 118, Nr. 10 (20.05.2013): 3933–43. http://dx.doi.org/10.1029/2012jd018077.
Rajendran, K., und A. Kitoh. „Modulation of Tropical Intraseasonal Oscillations by Ocean–Atmosphere Coupling“. Journal of Climate 19, Nr. 3 (01.02.2006): 366–91. http://dx.doi.org/10.1175/jcli3638.1.
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, Nr. 1 (1988): 17–26. http://dx.doi.org/10.2151/jmsj1965.66.1_17.
Hussain, Hammad, und Guillaume Dutilleux. „A parametric study of long-range atmospheric sound propagation using Bellhop Ray-tracing Model“. Journal of the Acoustical Society of America 148, Nr. 4 (Oktober 2020): 2562. http://dx.doi.org/10.1121/1.5147110.
Waxler, Roger, Claus H. Hetzer, Jelle D. Assink und 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, Nr. 6 (Dezember 2022): 3659–69. http://dx.doi.org/10.1121/10.0016558.
Dissertationen zum Thema "Atmospheric long-range propagation":
Moloney, Jerome V., Kolja Schuh, Paris Panagiotopoulos, M. Kolesik und S. W. Koch. „Long range robust multi-terawatt MWIR and LWIR atmospheric light bullets“. SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626498.
Bonnafont, Thomas. „Modélisation de la propagation atmosphérique d'ondes électromagnétiques sur de longues distances en 3D à partir de la transformée en ondelettes“. Electronic Thesis or Diss., Toulouse 3, 2020. http://www.theses.fr/2020TOU30173.
The tropospheric long-range propagation of electromagnetic waves is a topic of major concern in many applications. The objective of this Ph.D. thesis is to develop a method to model the propagation in a realistic 3D domain. This method should be fast, accurate, and low in memory occupation. Three main milestones toward this objective are achieved. First, a 2D wavelet-based method has been improved. Second, a theoretical bound for the accuracy has been proposed. Lastly, a wavelet-based 3D propagation method has been developped.In the context of long-range propagation, the split-step Fourier method is widely used. For large domain propagation and 3D, the time and memory occupation become a major issue. Therefore, a matrix split-step wavelet (mSSW) method has been developed. Using compression and the fast wavelet transform, this method is fast. Compression is used to increase the efficiency of the method, but it introduces an accumulation of error throughout the propagation. We propose a formula for setting the compression thresholds in order to obtain a chosen accuracy in a given domain. Numerical tests have shown that the memory size of the propagator becomes an issue for large domains. Using wavelet properties, a local method of SSW (lSSW) has been proposed to reduce this requirement while keeping the computation time low. It is based on the computation of a minimal set of wavelet propagations, for which only the essential information is stored. Numerical tests have shown that this method is lower than mSSW in terms of memory occupation. Using the 2D wavelet representation, a 3D lSSW method has been proposed. Numerical tests have been performed to show validate the method on canonical scenarios. Finally, propagation over islands has been studied. We have shown that the discrete mixed Fourier transform, widely used in case of impedance ground, is not valid in this case
Bücher zum Thema "Atmospheric long-range propagation":
van den Dool, Huug. Empirical Methods in Short-Term Climate Prediction. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780199202782.001.0001.
Buchteile zum Thema "Atmospheric long-range propagation":
van den Dool, Huug. „Empirical Wave Propagation“. In Empirical Methods in Short-Term Climate Prediction. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780199202782.003.0010.
López-De-Castro, Marcos, Andrea Trucchia, Umberto Morra di Cella, Paolo Fiorucci, Antonio Cardillo und Gianni Pagnini. „Fire-spotting modelling: A comparative study of an Italian test case“. In Advances in Forest Fire Research 2022, 593–601. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_91.
Frangieh, Nicolas, Gilbert Accary, Jean-Louis Rossi, Dominique Morvan, François-Joseph Chatelon, Thierry Marcelli, Sofiane Meradji et al. „Fuelbreaks design: from CFD modelling to operational tools“. In Advances in Forest Fire Research 2022, 222–26. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_36.
Konferenzberichte zum Thema "Atmospheric long-range propagation":
Chatterjee, Monish R., und Ali A. Mohamed. „Mitigation of image intensity distortion using chaos-modulated image propagation through gamma-gamma atmospheric turbulence“. In Long-Range Imaging III, herausgegeben von Eric J. Kelmelis. SPIE, 2018. http://dx.doi.org/10.1117/12.2306482.
Hussain, Hammad, und Guillaume Dutilleux. „A parametric study of long-range atmospheric sound propagation using underwater acoustics software“. In 18th International Symposium on Long Range Sound Propagation. ASA, 2020. http://dx.doi.org/10.1121/2.0001321.
Gainville, Olaf, Pierre-Franck Piserchia, Philippe Blanc-Benon und Julian Scott. „Ray Tracing for Long Range Atmospheric Propagation of Infrasound“. In 12th AIAA/CEAS Aeroacoustics Conference (27th AIAA Aeroacoustics Conference). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-2451.
PRUSZYNSKI, C. „Atmospheric propagation losses for long-range airborne radar systemsanalysis“. In 23rd Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-267.
Vanleer, Ann, und Christopher R. Anderson. „Characterization of Atmospheric Variability on Long Range 3.4 GHz Propagation“. In 2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2023. http://dx.doi.org/10.23919/usnc-ursinrsm57470.2023.10043171.
Bertin, Michaël, Christophe Millet, Daniel Bouche und Jean-Christophe Robinet. „The Role of Atmospheric Uncertainties on Long Range Propagation of Infrasounds“. In 42nd AIAA Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-3346.
Sivan, Yonatan, Gadi Fibich, Shmuel Eisenmann, Einat Louzon, Yiftach Katzir und Arie Zigler. „Control of the filamentation distance and pattern in long range atmospheric propagation“. In Nonlinear Photonics. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/np.2007.nwb2.
Montmerle Bonnefois, A., R. Biérent, N. Védrenne, M. Lefebvre, V. Michau, M. T. Velluet, A. Godard, S. Derelle, A. Durécu und M. Raybaut. „SCALPEL: a long range free-space optical communication system with adaptive optics in the MIR bandwidth“. In Optics in Atmospheric Propagation and Adaptive Systems. SPIE, 2010. http://dx.doi.org/10.1117/12.865022.
Churnside, James H. „Remote Sensing of Refractive Turbulence with Optical Spatial Filters“. In Laser and Optical Remote Sensing: Instrumentation and Techniques. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.tha2.
Harris, M., G. N. Pearson, J. M. Vaughan, C. Karlsson, D. Letalick und I. Renhorn. „Eye-Safe Semiconductor Lasers for Lidar: Experimental Studies of Coherence and Atmospheric Propagation“. In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.thd5.
Berichte der Organisationen zum Thema "Atmospheric long-range propagation":
Hart, Carl R., D. Keith Wilson, Chris L. Pettit und Edward T. Nykaza. Machine-Learning of Long-Range Sound Propagation Through Simulated Atmospheric Turbulence. U.S. Army Engineer Research and Development Center, Juli 2021. http://dx.doi.org/10.21079/11681/41182.