2020
DOI: 10.1029/2020gl087311
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Global Model of Whistler Mode Chorus in the Near‐Equatorial Region (|λm|<  18°)

Abstract: We extend our database of whistler mode chorus, based on data from seven satellites, by including ∼3 years of data from Radiation Belt Storm Probes (RBSP)‐A and RBSP‐B and an additional ∼6 years of data from Time History of Events and Macroscale Interactions during Substorms (THEMIS)‐A, THEMIS‐D, and THEMIS‐E. The new database allows us to probe the near‐equatorial region in detail, revealing new features. In the equatorial source region, |λm|<6°, strong wave power is most extensive in the 0.1–0.4fce bands in … Show more

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Cited by 66 publications
(118 citation statements)
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References 41 publications
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“…The wave models could improve further if we take into account the latitude and frequency resolutions (Meredith et al, 2018(Meredith et al, , 2020, and also by splitting the AE, V, and Bs parameters into smaller intervals. However, splitting the AE, V, and Bs parameters into smaller bins or including latitude variations will require an even more extensive dataset, consisting of data from multiple satellite missions combined, to form meaningful statistics for wave intensities.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The wave models could improve further if we take into account the latitude and frequency resolutions (Meredith et al, 2018(Meredith et al, , 2020, and also by splitting the AE, V, and Bs parameters into smaller intervals. However, splitting the AE, V, and Bs parameters into smaller bins or including latitude variations will require an even more extensive dataset, consisting of data from multiple satellite missions combined, to form meaningful statistics for wave intensities.…”
Section: Discussionmentioning
confidence: 99%
“…Chorus and plasmaspheric hiss emissions depend on geomagnetic activity (Agapitov et al, 2013;Aryan et al, 2014Aryan et al, , 2016Aryan et al, , 2017Meredith et al, 2012Meredith et al, , 2018Meredith et al, , 2020 and solar wind parameters (Aryan et al, 2014(Aryan et al, , 2016(Aryan et al, , 2017 (Aryan et al, 2014(Aryan et al, , 2016, geomagnetic activity as expressed by the geomagnetic indices (AE, Kp, or Dst) (Agapitov et al, 2013;Aryan et al, 2014Aryan et al, , 2016Meredith et al, 2012), and even as a function of combined solar wind parameter and geomagnetic indices (Aryan et al, 2016). These statistical wave models are needed to calculate diffusion coefficients in radiation belt models, such as the Comprehensive Inner Magnetosphere-Ionosphere (CIMI) model (Aryan et al, 2017;Fok et al, 2008Fok et al, , 2011Fok et al, , 2014, the Versatile Electron Radiation Belt (VERB) code (Shprits et al, 2009;, and British Antarctic Survey (BAS) Radiation Belt Model (BAS-RBM) (Glauert et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…See Li et al (2009) and Meredith et al (2020) for prior observations of lower-band whistler-mode chorus wave power that also show a peak in mean wave power between L = 5 and L = 7 across MLTs.…”
Section: Discussionmentioning
confidence: 99%
“…Coherent chirping (rising-tone or falling-tone) chorus waves (Meredith et al, 2020) are the whistler-mode wave modes that are most usually considered (and modeled) to reach high amplitudes and be responsible for nonlinear wave-particle interactions (see discussion in Section 1). A background magnetic field inhomogeneity is considered to be fundamentally important to promote rising-tone and falling-tone chorus waves to high amplitudes (Omura et al, 2008) (however note recent experiments that demonstrate rising-tone and falling-tone chorus in a uniform magnetic field; Wu et al, 2020).…”
Section: Outline Of the Numerical Experimentsmentioning
confidence: 99%