2020
DOI: 10.1029/2019ja027422
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The Effect of Plasma Boundaries on the Dynamic Evolution of Relativistic Radiation Belt Electrons

Abstract: Understanding the dynamic evolution of relativistic electrons in the Earth's radiation belts during both storm and nonstorm times is a challenging task. The U.S. National Science Foundation's Geospace Environment Modeling (GEM) focus group "Quantitative Assessment of Radiation Belt Modeling" has selected two storm time and two nonstorm time events that occurred during the second year of the Van Allen Probes mission for in-depth study. Here, we perform simulations for these GEM challenge events using the 3D Ver… Show more

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Cited by 33 publications
(35 citation statements)
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References 95 publications
(177 reference statements)
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“…Brautigam and Albert's (2000) parameterization is used for the radial diffusion. This model is chosen because it produces the best agreement with the observations (e.g., Drozdov, Shprits, Aseev et al, 2017; Wang et al, 2020). The statistics from Spasojevic et al (2015) and Orlova et al (2016) are used for the hiss waves (considering realistic spectrum from Li et al (2015) that takes into account low‐frequency hiss), and the model presented in Zhu et al (2019) is used for chorus waves.…”
Section: Methodsmentioning
confidence: 99%
“…Brautigam and Albert's (2000) parameterization is used for the radial diffusion. This model is chosen because it produces the best agreement with the observations (e.g., Drozdov, Shprits, Aseev et al, 2017; Wang et al, 2020). The statistics from Spasojevic et al (2015) and Orlova et al (2016) are used for the hiss waves (considering realistic spectrum from Li et al (2015) that takes into account low‐frequency hiss), and the model presented in Zhu et al (2019) is used for chorus waves.…”
Section: Methodsmentioning
confidence: 99%
“…To quantify the agreement between model output and Van Allen Probes observations, we use the normalized difference (ND) of the electron flux ( j): This metric has been used previously by Subbotin and Shprits (2009), Drozdov, and Wang et al (2020) and provides the difference between observations ( obs j ) and model output ( model j ) at a particular energy, * L , eq  , and time. The result is normalized by the maximum flux in the heart of the belt and is therefore particularly useful to determine how well the simulation reproduces the observed flux peaks, as well as the behavior around the maximum.…”
Section: Normalized Differencementioning
confidence: 99%
“…The simulation by Wang et al. (2019) used the more comprehensive plasmasphere model Plasma density in the Inner magnetosphere Neural network‐based Empirical (PINE) (Zhelavskaya et al., 2017), provided better agreement with the observations in comparisons to the Carpenter and Anderson (1992) model. Accurate modeling of the radiation belt in the slot region and the inner belt would require more accurate qualification of the scattering process near the Earth below 2 R E (Albert et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Future endeavors into radiation belt modeling may want to consider using a metric for the plasmasphere location which incorporates a more complicated and in-depth description such as O' Brien and Moldwin (2003). The simulation by Wang et al (2019) Table 9 The Logged First and Second Moment Distributions of Flux Values Figure 10. Total integrated flux by percentile (5th, 10th, 25th, 50th, 75th, 90th, 95th) over each solar cycle for the 0.5, 1.0, and 2.0 MeV 85° pitch angle electrons (panels a, b, and c, respectively).…”
Section: Summary and Future Workmentioning
confidence: 99%