2018
DOI: 10.5194/angeo-2018-16
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A statistical study of spatial distribution and source region size of chorus waves using Van Allen Probes data

Abstract: Abstract. Spatial distribution and source region size of chorus waves are important parameters in understanding their generation. In this work, we analyze over 3 years of continuous wave burst mode data from Van Allen Probes and build a data set of rising and falling tone chorus. For the L shell range covered by Van Allen Probes data (3.5 ≤ L ≤ 7), statistical results demonstrate that the sector where rising tones are most likely to be observed is the dayside during geomagnetically quiet and moderate times and… Show more

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Cited by 10 publications
(12 citation statements)
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“…The whistler mode waves are first excited by an anisotropic electron distribution around the magnetic equator (∣ λ ∣ ≤ 3°,). Such latitudinal range is consistent with previous satellite observations (Santolik et al, ; Teng et al, ). After the whistler mode waves leave the source region and obtain a sufficiently large amplitude, they begin to have a frequency chirping and evolve into rising‐tone chorus waves.…”
Section: Conclusion and Discussionsupporting
confidence: 93%
“…The whistler mode waves are first excited by an anisotropic electron distribution around the magnetic equator (∣ λ ∣ ≤ 3°,). Such latitudinal range is consistent with previous satellite observations (Santolik et al, ; Teng et al, ). After the whistler mode waves leave the source region and obtain a sufficiently large amplitude, they begin to have a frequency chirping and evolve into rising‐tone chorus waves.…”
Section: Conclusion and Discussionsupporting
confidence: 93%
“…v ⊥ is the perpendicular velocity of electrons. Considering that chorus waves are generated near the equator (Teng et al., 2018), the second term of the right side in Equation is approximate 0 because the magnetic field (or gyro‐frequency Ω e ) barely varies along the position h .…”
Section: Discussionmentioning
confidence: 99%
“…The general method of wave event identification from burst‐mode data is similar to the one used by Teng et al. (2018): we set a threshold (up to 10 −4 nT 2 /Hz) for the wave magnetic field power spectral density and visually inspect the power spectrogram of each event. For each event, the location parameters such as magnetic local time (MLT), magnetic latitude (MLAT) and L shell are derived from the TS04D magnetic field model (Tsyganenko & Sitnov, 2005) provided by the data analysis software SPEDAS (Angelopoulos et al., 2019).…”
Section: Methodsmentioning
confidence: 99%