2006
DOI: 10.1029/2006ja011628
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Modeling the global micrometeor input function in the upper atmosphere observed by high power and large aperture radars

Abstract: [1] We report initial results of an effort to model the diurnal and seasonal variability of the meteor rate detected by high power and large aperture (HPLA) radars. The model uses Monte Carlo simulation techniques and at present assumes that most of the detected particles originate from three radiant distributions with the most dominant concentrated around the Earth's apex. The other two sources are centered 80°in ecliptic longitude to each side of the apex and are commonly known as helion and antihelion. To r… Show more

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Cited by 101 publications
(135 citation statements)
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“…Furthermore, most of the daily mass input originates from the sporadic meteor background, which is the interplanetary dust forming the Zodiacal dust cloud. The orbits of the meteoroids from that source are so evolved that they cannot be traced back to their original parent body (Brown and Jones, 1995;Janches et al, 2006;Fentzke and Janches, 2008). The constant bombardment of particles from the sporadic background contributes far more input than meteor showers (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, most of the daily mass input originates from the sporadic meteor background, which is the interplanetary dust forming the Zodiacal dust cloud. The orbits of the meteoroids from that source are so evolved that they cannot be traced back to their original parent body (Brown and Jones, 1995;Janches et al, 2006;Fentzke and Janches, 2008). The constant bombardment of particles from the sporadic background contributes far more input than meteor showers (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…However, while the data show a difference between September (highest detection rate) and March (lowest detection rate) by a factor of 5, the model varies by a significantly smaller factor. For the case of the radial velocity distributions displayed in Figure 10, however, the disagreement is even greater than for the case of AO where ZoDy predicts 400 to 500 times more particles at the peak of the distribution than those detected by the radar if J this is partly due to the fact that PFISR will observe the incoming flux, on average, at a shallower entry angle than AO due to its higher latitude location (Janches et al 2006;Fentzke et al 2009;Sparks et al 2009), which results in an increase of lower radial velocities, specially by the faster and larger particles that PFISR is able to detect. This once again shows that the hypothesis that the small and slow flux is undetected is supported by this work, and that the large disagreement reported by Jones (1997), while the dotted lines use the revised value R ip 2 b reported in Paper I.…”
Section: Implementation To the Zodiacal Dust Modelmentioning
confidence: 65%
“…Both quantities are strongly dependent on the time-of-day, day-of-year and location of the observations (Janches et al 2006;. We note that for the case of AO and PFISR, the observations utilized in this work were obtained without the use of interferometry, and thus the results do not have information regarding direction.…”
Section: Implementation To the Zodiacal Dust Modelmentioning
confidence: 99%
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“…[5] The radar observations used for this work were designed to study the spring variability of the diurnal micrometeor flux detected at Arecibo [Janches et al, 2006]. They cover mostly 24 hour periods prior to, near, and after the northern hemisphere spring equinox.…”
Section: Experiments Description and Observationsmentioning
confidence: 99%