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Plasmaspheric hiss is an important wave mode in the Earth’s radiation belts. Hiss waves can scatter energetic electrons into loss cones to precipitate into the atmosphere, and therefore become an important source of fluctuations, leading the radiation belt to lose electrons . As a function of electron energy and pitch angle, the diffusion coefficient of hiss waves for radiation belt electrons is significantly influenced by the solar wind and geomagnetic activity, and also strongly depends on the spatial position, the background magnetic field, and the plasma density distribution. In order to quickly obtain the diffusion coefficients of hiss waves on electrons in the radiation belt for modelling the global dynamics of the radiation belt, we systematically calculate the diffusion coefficients of hiss waves on electrons in the radiation belt by using the full diffusion code (FDC), and build a four-dimensional matrix database of diffusion coefficients for the spatial region L = 1.5–6, the cold plasma parameter α* = 3–30, electron energy 1 keV–10 MeV, and electron throw angle 0°–90°. According to the database, we can quickly obtain diffusion coefficients with different L and α* values through linear interpolations. By comparing the errors between diffusion coefficients calculated by the FDC code and those linearly interpolated from the diffusion coefficient database, the accuracies of interpolated coefficients are validated, showing that most of the errors lie in 10%. The four-dimensional database of hiss wave pitch angle diffusion coefficients for radiation belt electrons and the validated linear interpolation method established in this paper can significantly reduce the time required to obtain global information about hiss wave diffusion coefficients, thereby rapidly improving the computational efficiency of carrying out simulations of spatial and temporal changes in the radiation belts over long periods of time, which in turn is expected to provide favourable conditions for the development of dynamic forecasting models of the Earth's radiation belts.
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Keywords:
- radiation belt electrons /
- plasmaspheric hiss /
- diffusion coefficients /
- linear interpolation /
- wave-particle interactions
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图 2 L = 2时常数传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 2. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with constant wave normal angle model at L = 2, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 3 L = 3时固定传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 3. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with constant wave normal angle model at L = 3, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 4 L = 4时常数传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 4. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with constant wave normal angle model at L = 4, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 5 L = 5时固定传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 5. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with constant wave normal angle model at L = 5, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 7 L = 3时随纬度变化传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 7. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle$ of hiss waves for electrons with latitudinally varying wave normal angle model at L = 3, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 8 L = 4时随纬度变化传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 8. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with latitudinally varying wave normal angle model at L = 4, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 6 L = 2时随纬度变化传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)分别对应不同α*条件下的散射系数Figure 6. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with latitudinally varying wave normal angle model at L = 2, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 9 L = 5时随纬度变化传播角模型的嘶声波对电子的弹跳平均散射系数
$\langle $ Dαα$\rangle $ , 其中(a1)—(d7)对应不同α*条件下的散射系数Figure 9. Bounce averaged diffusion coefficients
$\langle $ Dαα$\rangle $ of hiss waves for electrons with latitudinally varying wave normal angle model at L = 5, where (a1)–(d7) corresponds to the diffusion coefficients under different α* conditions, respectively.图 10 (a1)—(a3) 当α* = 4时, L = 3.25, L = 4.35, L = 5.55处计算得到的嘶声波散射系数; (b1)—(b3) 通过数据库进行线性插值计算得到的嘶声波散射系数; (c1)—(c3) 二者相对误差分析
Figure 10. (a1)–(a3) The diffusion coefficients of hiss waves calculated at L = 3.25, L = 4.35, L = 5.55 when α* = 3; (b1)–(b3) the hiss wave diffusion coefficients calculated by linear interpolation from the database; (c1)–(c3) the relative error analysis.
图 11 (a)—(c) 当α* = 4时, L = 3.25, L = 4.35, L = 5.55处选取能级为50 keV, 200 keV, 400 keV以及700 keV的散射系数对比结果; (d)—(f) 数值的比值, 虚线表示FDC计算结果, 点画线表示线性插值结果, 不同颜色代表不同能级
Figure 11. (a1)–(a3) Comparison of the diffusion coefficients at α* = 4, L = 3.25, L = 4.35, L = 5.55 for selected energy levels of 50 keV, 200 keV, 400 keV and 700 keV; (d)–(f) the ratio of values, the dashed line shows the result of the FDC calculation, the dotted lines shows the result of linear interpolation, different colors represent different energy levels.
图 12 (a1)—(a3) 当L = 4时, α* = 3.25, α* = 4.35, α* = 5.55处计算得到的嘶声波散射系数; (b1)—(b3) 通过数据库进行线性插值计算得到的嘶声波散射系数; (c1)—(c3) 表示对二者进行相对误差分析
Figure 12. (a1)–(a3) The diffusion coefficients of hiss waves calculated at α* = 3.25, α* = 4.35, α* = 5.55 when L = 4; (b1)–(b3) the hiss wave diffusion coefficients calculated by linear interpolation from the database; (c1)–(c3) the relative error analysis.
图 13 (a)—(c) 当L = 4时, α* = 3.25, α* = 4.35, α* = 5.55处选取能级为50 keV, 200 keV, 400 keV和700 keV的散射系数对比结果; (d)—(f) 数值的比值, 虚线表示FDC计算结果, 点画线表示线性插值结果, 表示不同颜色代表不同能级
Figure 13. (a)–(c) The comparison of the diffusion coefficients at α* = 3.25, α* = 4.35, α* = 5.55 for L = 4 for selected energy levels of 50 keV, 200 keV, 400 keV and 700 keV; (d)–(f) the ratio of values, the dashed line shows the result of the FDC calculation, the dotted lines shows the result of linear interpolation, different colors represent different energy levels.
表 1 随纬度变化的传播角模型主要参数
Table 1. Parameters of the varying latitudinal wave normal angle model.
λ/(º) $ \varphi $m/(º) δ$ \varphi $/(º) $ \varphi $/(º) 0—5 0 15 0—25 5—10 20 15 0—40 10—15 40 20 0—55 15—20 50 30 15—70 20—25 60 40 30—75 25—30 70 50 50—80 30—35 80 60 65—85 35—40 80 70 75—85 40—45 80 80 80—85 表 2 不同L的磁纬度选取范围
Table 2. Range of magnetic latitude at different L values
L λ/(°) 1.5—2.2 0—30 2.3—2.9 0—40 3.0—6.0 0—45 -
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[5] Guo Y, Ni B, Fu S, Wang D, Shprits Y, Zhelavskaya I, Feng M, Guo D 2022 J. Geophys. Res. 127 e2021JA029926
[6] He Q, Liu S, Xiao F, Gao Z, Li T, Shang X, Zhou Q, Yang C, He L 2022 Sci. China Technol. Sci. 65 1
[7] He J, Jin Y, Xiao F, He Z, Yang C, Xie Y, He Q, Wang C, Shang X, Liu S, Zhou Q, Zhang S 2021 Sci. China Technol. Sci. 64 890
[8] Liu S, Xie Y, Zhang S, Shang X, Yang C, Zhou Q, He Y, Xiao F 2020 Geophys. Res. Lett. 47 e2020GL089994
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[21] Liu S, Zhang Jian, Chen L, Zhu H, He Zhao 2018 Geophys. Res. Lett. 45 10138
[22] Hua M, Li W, Ni B, Ma Q, Green A, Shen X, Claudepierre S, Bortnik J, Gu X, Fu S, Xiang Z, Reeves G 2020 Nat. Comm. 11 4847Google Scholar
[23] Ni B, Hua M, Gu X, Fu S, Xiang Z, Cao X, Ma X 2021 Sci. China Earth Sci. 65 391
[24] Xiang Z, Lin X, Chen W, Wang Y, Lu P, Gong W, Ma W, Hua M, Liu Y 2021 Chin. J. Geophys. 64 3860
[25] 刘阳希子, 项正, 郭建广, 顾旭东, 付松, 周若贤, 花漫, 朱琪, 易娟, 倪彬彬 2021 物理学报 70 149401Google Scholar
Liu Y X Z, Xiang Z, Guo J G, Gu X D, Fu S, Zhou R X, Hua M, Zhu Q, Yi J, Ni B B 2021 Acta Phys. Sin. 70 149401Google Scholar
[26] Liu Y, Xiang Z, Ni B, Li X, Zhang K, Fu S, Gu X, Liu J, Cao X 2022 Geophys. Res. Lett. 49 e2021GL097443
[27] Gu X, Peng R, Wang S, Ni B, Luo F, Li G, Li Z 2022 IEEE Trans. Geosci. Remote Sens. 60 1
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[29] 项正, 谈家强, 倪彬彬, 顾旭东, 曹兴, 邹正洋, 周晨, 付松, 石润, 赵正予, 贺丰明, 郑程耀, 殷倩, 王豪 2017 物理学报 66 039401Google Scholar
Xiang Z, Tan J Q, Ni B B, Gu X D, Cao X, Zou Z Y, Zhou C, Fu S, Shi R, Zhao Z Y, He F M, Zheng C Y, Yin Q, Wang H 2017 Acta Phys. Sin. 66 039401Google Scholar
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[31] Kim K, Shprits Y 2019 J. Geophys. Res. Space Phys. 124 1904Google Scholar
[32] Zhang W, Ni B, Huang H, Summers D, Fu S, Xiang Z, Gu X, Cao X, Lou Y, Hua M 2019 Geophys. Res. Lett. 46 5670Google Scholar
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[40] Meredith N, Horne R, Glauert S, Baker D, Kanekal S, Albert J 2009 J. Geophys. Res. 114 A03222
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