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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 29, issue 11
Ann. Geophys., 29, 2169–2179, 2011
https://doi.org/10.5194/angeo-29-2169-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 29, 2169–2179, 2011
https://doi.org/10.5194/angeo-29-2169-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  29 Nov 2011

29 Nov 2011

Dusty space plasma diagnosis using temporal behavior of polar mesospheric summer echoes during active modification

A. Mahmoudian1, W. A. Scales1, M. J. Kosch2, A. Senior2, and M. Rietveld3 A. Mahmoudian et al.
  • 1The Bradley Department of Electrical and Computer Engineering, Virginia Tech, USA
  • 2Physics dept., Lancaster University, Lancaster LA1 4YB, UK
  • 3EISCAT Scientific Association, Ramfjordmoen, 9027 Ramfjordbotn, Norway

Abstract. The objective of this paper is to study the effect of different plasma and dust parameters on Polar Mesospheric Summer Echoes (PMSE) temporal behavior after turn-on and turn-off of radio wave heating and to use these responses to diagnose the properties of the dust layer. The threshold radar frequency and dust parameters for the enhancement or suppression of radar echoes after radio wave heating turn-on are investigated for measured mesospheric plasma parameters. The effect of parameters such as the electron temperature enhancement during heating, dust density, dust charge polarity, ion-neutral collision frequency, electron density and dust radius on the temporal evolution of electron irregularities associated with PMSE are investigated. The possible diagnostic information for various charged dust and background plasma quantities using the temporal behavior of backscattered radar power in active experiments is discussed. The computational results are used to make predictions for PMSE active modification experiments at 7.9, 56, 139, 224 and 930 MHz corresponding to existing radar facilities. Data from a 2009 VHF (224 MHz) experiment at EISCAT is compared with the computational model to obtain dust parameters in the PMSE.

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