Doppler Crosswind Relations in Radio Tropo-Scatter Beam Swinging for a Thin Scatter Layer

Srivastava, Rajesh; Carbone, Richard E.; Sargeant, D. H.

doi:10.1175/1520-0469(1969)026<1104:dcrirt>2.0.co;2

J. Atmos. Sci.

1969

DOI: 10.1175/1520-0469(1969)026<1104:dcrirt>2.0.co;2

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Doppler Crosswind Relations in Radio Tropo-Scatter Beam Swinging for a Thin Scatter Layer

Rajesh Srivastava¹,

Richard E. Carbone²,

D. H. Sargeant³

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Cited by 4 publications

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Progress in research on atmospheric turbulence

Lilly

1971

EoS Transactions

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In ground‐ and tower‐based instrumentation for direct sensing, few, if any, new concepts have appeared, but steady improvements in technique and reliability have been reported [Dyer et al., 1967; Goddard, 1970; Hicks, 1969; Kaimal, l9687semi; Kaimal et al, 1968; Thurteil et al., 19707semi; Wesely et al., 1970], and comparisons have been made between different kinds of instruments [Businger et al., 19677; Miyake et al, 1970a], leading generally to increased knowledge and confidence in the characteristics of each. More rapid advances occurred in aircraft‐based instrumentation. In particular the utilization of inertial navigation systems by Axford [1968], by the Air Force Hicat program [Crooks et al., 1968] and by the National Center for Atmospheric Research‐Desert Research Institute program [National Center for Atmospheric Research, 1970] is leading to the ability to measure the larger turbulence scales and mesoscales, where much of the important energy generation resides, in levels above the surface boundary layer, Sheih [19717] has effectively utilized hot wire anemometry to measure the microscales of turbulence from an aircraft. Precision radar‐tracked balloons of either the constant‐level type [Angell et al., 1968], or with a roughened surface to improve stability [DeMandel and Scoggins, 1967[, have been used to reveal details of the mesoscale wind field.

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Progress in research on atmospheric turbulence

Lilly

1971

EoS Transactions

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Atmospheric Structure Deduced from Forward‐Scatter Wave Propagation Experiments

Gjessing¹

1969

Radio Science

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This review is concerned with the relative potentials of various experimental radio techniques from the point of view of determining the atmospheric fine‐scale structure. After having derived a unified set of simple approximate expressions for the ‘measured quantity’ in terms of parameters describing the refractive‐index time‐space structure, some of the more important sources of error are discussed. Finally, on the basis of numerous experimental results, the form of the refractive‐index spectrum is deduced by using the previously derived theoretical expressions.

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Troposcatter Signal Characteristics Simulated by Random Layered Scatterer Arrays

Birkemeier¹,

Fontaine²,

Gerks³

et al. 1969

Radio Science

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Phase and amplitude of simulated troposcatter signals have been computed as functions of time, using thin layers of randomly spaced point scatterers moving horizontally and uniformly, normal to the path. The layer heights and cross‐wind speeds were chosen to agree with the atmospheric conditions known to exist in two radio experiments. Comparisons of the simulated and actual radio signals show good agreements in amplitude fading rate and average Doppler shift versus antenna pointing angle in one case when the scattering angular dependence used in the simulation matched the classical −11/3 power‐law isotropic refractivity spectrum. In the other case, where slower fading was observed, an anisotropic model of the refractivity spectrum produced excellent agreement between the simulated and radio data. Knowledge of the cross‐wind speed allowed the degree of anisotropy for the model to be evaluated.

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Doppler Crosswind Relations in Radio Tropo-Scatter Beam Swinging for a Thin Scatter Layer

Cited by 4 publications

References 0 publications

Progress in research on atmospheric turbulence

Progress in research on atmospheric turbulence

Atmospheric Structure Deduced from Forward‐Scatter Wave Propagation Experiments

Troposcatter Signal Characteristics Simulated by Random Layered Scatterer Arrays

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