The Lorentz polarization term for magnetospheric whistler propagation

Radio Science ◽  
1992 ◽  
Vol 27 (2) ◽  
pp. 325-334 ◽  
Author(s):  
Hal J. Strangeways
Keyword(s):  
Polarization Term ◽  
Whistler Propagation

scholarly journals LHR effects in nonducted whistler propagation – new observations and numerical modelling

2001 ◽  
Vol 19 (2) ◽  
pp. 147-157 ◽  
Author(s):  
F. Jiřiček ◽  
D. R. Shklyar ◽  
P. Třiska
Keyword(s):  
Wave Propagation ◽  
Numerical Modelling ◽  
Plasma Frequency ◽  
Cutoff Frequency ◽  
Lower Hybrid ◽  
Noise Band ◽  
Maximum Value ◽  
Lower Hybrid Resonance ◽  
Whistler Propagation ◽  
Lower Cutoff

Abstract. VLF-ELF broadband measurements onboard the MAGION 4 and 5 satellites at heights above 1 Re in plasmasphere provide new data on various known phenomena related to ducted and nonducted whistler wave propagation. Two examples are discussed: magnetospherically reflected (MR) whistlers and lower hybrid resonance (LHR) noise band. We present examples of rather complicated MR whistler spectrograms not reported previously and argue the conditions for their generation. Analytical consideration, together with numerical modelling, yield understanding of the main features of those spectrograms. LHR noise band, as well as MR whistlers, is a phenomenon whose source is the energy propagating in the nonducted way. At the plasmaspheric heights, where hydrogen (H+) is the prevailing ion, and electron plasma frequency is much larger than gyrofrequency, the LHR frequency is close to its maximumvalue in a given magnetic field. This frequency is well followed by the observed noise bands. The lower cutoff frequency of this band is somewhat below that maximum value. The reason for this, as well as the possibility of using the LHR noise bands for locating the plasma through position, are discussed.Key words. Magnetospheric physics (plasmasphere; wave propagation)

Influence of collisions on whistler propagation

1965 ◽  
Vol 1 (3) ◽  
pp. 54 ◽  
Author(s):  
P. Hedvall ◽  
L. Sjögren
Keyword(s):  
Whistler Propagation

scholarly journals Whistler propagation in ionospheric density ducts: Simulations and DEMETER observations

2013 ◽  
Vol 118 (11) ◽  
pp. 7011-7018 ◽  
Author(s):  
J. R. Woodroffe ◽  
A. V. Streltsov ◽  
A. Vartanyan ◽  
G. M. Milikh
Keyword(s):  
Whistler Propagation

scholarly journals Whistler propagation in the plasmapause

2013 ◽  
Vol 118 (2) ◽  
pp. 716-723 ◽  
Author(s):  
J.R. Woodroffe ◽  
A.V. Streltsov
Keyword(s):  
Whistler Propagation

scholarly journals Whistler propagation in nonsymmetrical density channels

2007 ◽  
Vol 112 (A6) ◽  
pp. n/a-n/a ◽  
Author(s):  
A. V. Streltsov ◽  
M. Lampe ◽  
G. Ganguli
Keyword(s):  
Whistler Propagation

Theory of whistler propagation

1969 ◽  
Vol 12 (1) ◽  
pp. 35-42
Author(s):  
Yu. G. Spiridonov
Keyword(s):  
Whistler Propagation

Salinity dependence of complex conductivity of unconsolidated and consolidated materials: Comparisons with electrical double layer models

Geophysics ◽  
2012 ◽  
Vol 77 (5) ◽  
pp. D185-D198 ◽  
Author(s):  
Andreas Weller ◽  
Lee Slater
Keyword(s):  
Double Layer ◽  
Electrical Double Layer ◽  
High Salinity ◽  
Data Sets ◽  
Strongly Correlated ◽  
Sandstone Sample ◽  
Physical Description ◽  
Electrical Double Layer Models ◽  
Polarization Term ◽  
Predicted Values

We examined the dependence of imaginary conductivity ([Formula: see text]) on pore fluid conductivity ([Formula: see text]) for an extensive database of 67 samples acquired from twelve independent studies. We compared fitting of functions describing the salinity dependence of [Formula: see text] for two models of the electrical double layer (EDL) polarization, both of which predict asymptotic behavior of [Formula: see text] at high [Formula: see text]. We define these models as the diffuse layer polarization (DLP) and Stern layer polarization (SLP) models based on the physical description of the salinity dependence of the surface polarization. We also examined the database for evidence of a high salinity decrease in [Formula: see text] not predicted by either model. The dependence of [Formula: see text] on [Formula: see text] prior to the polarization plateau predicted by both models approximates a simple empirical power law with an average exponent of 0.34. The salinity dependence predicted by the DLP model adequately describes most data sets. A fitting parameter representing the high salinity [Formula: see text] asymptote is strongly correlated ([Formula: see text]) with pore normalized specific surface ([Formula: see text]). The SLP model describes well the observations when a recently proposed additive polarization term representing the contribution of the protons is included. In this case, the SLP model provides an excellent fit to the data sets, including a low salinity asymptote (in log-log conductivity space) seen in some samples. Predicted values of the fitting parameters of the SLP model generally are consistent with the values expected based on the theory; the fitting parameter describing the high salinity asymptote of the SLP model is also strongly correlated ([Formula: see text]) with [Formula: see text]. The SLP and DLP models neglect a high salinity decrease in the polarization that is observed in numerous data sets from independent studies. New data acquired on a sandstone sample demonstrate that this high salinity decrease is likely not attributable to the limited phase accuracy of earlier measurements.

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