Statistics – Computation
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsa13a1479m&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #SA13A-1479
Statistics
Computation
[2403] Ionosphere / Active Experiments
Scientific paper
Polar Mesospheric Summer Echoes (PMSE) are strong echoes that have been typically observed in the frequency range from 50MHz to 1.3GHz and in the altitude about 85Km. The PMSE is produced by scattering from electron irregularities due to electron charging on the irregular subvisible mesospheric dust layer. The radar echoes occur at half the radar wavelength therefore the wavelength of the irregularities are roughly in the range of 10cm to 10m. In recent experiments, the EISCAT ground based ionospheric heating facility was used to produce an artificial enhancement in electron temperature in dust layer.Important information can be obtained from temporal behavior of the electron irregularities during turn on or turn off the radio wave heating. Considering the temporal behavior of electron irregularities during heating process provides diagnostic information about dust layer. In the first part of the presentation, the radar data obtained during an experimental campaign at the European Incoherent Scatter Scientific Association (EISCAT) facility in Tromso, Norway in July 2009 is discussed. The measurement was set up with 3 minutes heating cycle in which the heater is on for 40 seconds to increase electron temperature in the specific area in the ionosphere and after 40 seconds, the heater is turned off. At the same time the scatter radar signal also is recorded to analyze temporal behavior during turn on and turn off of the heater. Radar scattering at 224 MHz (VHF) and 7.953 MHz (HF) frequency bands was observed. Modulation in the PMSE is observed. In the second part of the presentation, a computational model is used to provide interpretation of the data. A one dimensional computational model is used to study PMSE during radio wave heating. There are different parameters which vary with temperature such electron-neutral collision frequency, recombination coefficient and dust charging process. The model includes ions, electrons and dust. The ions and electrons are treated as fluid and the dust with particle-in-cell method. In the computational model, we investigate the variation of different parameters such as electron temperature increase, dust radius, dust density and radar frequency and their effect on temporal behavior of electron irregularities as observed in the experimental measurements.
Kosch Mike
Mahmoudian Alireza
Rietveld Michael T.
Scales Wayne
Singer Amit
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