An empirical model of the global distribution of plasmaspheric hiss based on Van Allen Probes EMFISIS measurements

Wang, Jing‐Zhi; Zhu, Qi; Gu, Xudong; Fu, Song; Guo, Jianguang; Zhang, Xiao‐Xin; Yi, Juan; Guo, Yingjie; Ni, Binbin; Xiang, Zheng

doi:10.26464/epp2020034

Cited by 3 publications

(2 citation statements)

References 45 publications

(62 reference statements)

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“…Wang et al. (2020) built a fitting model for the spatial distribution of the hiss intensity. A third‐order polynomial function of L‐shell, magnetic local time (MLT), magnetic latitude, and AE* was adopted in this fitting algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, in the research of Golden et al (2012), they used the sequential feature selection to determine optimal historical time series of relevant geomagnetic parameters. Wang et al (2020) built a fitting model for the spatial distribution of the hiss intensity. A third-order polynomial function of L-shell, magnetic local time (MLT), magnetic latitude, and AE* was adopted in this fitting algorithm.…”

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confidence: 99%

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The Study on Modeling of Global Plasmaspheric Hiss Amplitude Based on Deep Learning Algorithm

Tang

Wang

et al. 2023

Space Weather

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Plasmaspheric hiss is one kind of structureless broadband whistler mode wave with a frequency ranging from 20 Hz to 2 kHz (Tsurutani et al., 2015). The hiss wave is typically identified in the plasmasphere and the plasmaspheric plume (W. . It takes on a critical significance in the loss of 100 keV-1 MeV electrons from the Earth's radiation belts due to pitch angle scattering (Ma, Li, Thorne, Bortnik, et al., 2016), thus playing a major role in forming a slot region between the inner and outer electron belts (Lyons et al., 1972). In general, the estimates of the global radiation belt electron loss time scale due to hiss waves are calculated using a quasi-linear diffusion model (

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Section: Introductionmentioning

confidence: 99%

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The Study on Modeling of Global Plasmaspheric Hiss Amplitude Based on Deep Learning Algorithm

Tang

Wang

et al. 2023

Space Weather

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Magnetospheric Physics in China: 2020–2021

Jinbi

2022

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Realistic Dispersion of Plasmaspheric Hiss in the Inner Magnetosphere and Its Effect on Wave-induced Electron Scattering Rates

Cao

et al. 2021

ApJ

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The cold plasma approximation is a common treatment to study wave–particle interactions between plasmaspheric hiss and magnetospheric electrons, which, however, can become a challenge during periods of disturbed geomagnetic activity. To assess the validity of the cold plasma dispersion relation of plasmaspheric hiss, we adopt the cold plasma theory to calculate the wave magnetic field intensities from the electric field intensities observed by Van Allen Probe A from 2012 October 1 to 2018 February 28. Comparisons between the observed and converted hiss magnetic field intensities capture pronounced differences with the enhancement of substorm activity, and exhibit the largest discrepancies on the nightside MLT sector for low-frequency hiss waves. We also use both the hiss dispersion curves derived from the observations and the cold plasma dispersion relation to evaluate hiss-induced electron diffusion coefficients under different substorm activity conditions. The results indicate that the profiles of electron diffusion rates vary considerably for the two hiss dispersion relations and that the differences between them become increasingly distinct with substorm activity intensification. Our study therefore demonstrates that the cold plasma theory can become less reliable for plasmaspheric hiss waves under disturbed geomagnetic circumstances and that the realistic wave dispersion is essential to better quantify the electron scattering effect of hiss waves, which needs to be carefully incorporated into future global simulations of the generation and propagation of plasmaspheric hiss and associated dynamic variability of radiation belt electrons.

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An empirical model of the global distribution of plasmaspheric hiss based on Van Allen Probes EMFISIS measurements

Cited by 3 publications

References 45 publications

The Study on Modeling of Global Plasmaspheric Hiss Amplitude Based on Deep Learning Algorithm

The Study on Modeling of Global Plasmaspheric Hiss Amplitude Based on Deep Learning Algorithm

Magnetospheric Physics in China: 2020–2021

Realistic Dispersion of Plasmaspheric Hiss in the Inner Magnetosphere and Its Effect on Wave-induced Electron Scattering Rates

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