The EMERALD Model for the Estimation of the Radial Diffusion Coefficients in the Outer Belt

被引:4
作者
Aminalragia-Giamini, S. [1 ,2 ]
Katsavrias, C. [1 ]
Papadimitriou, C. [1 ,2 ]
Daglis, I. A. [1 ,3 ]
Nasi, A. [1 ]
Brunet, A. [4 ]
Bourdarie, S. [4 ]
Dahmen, N. [4 ]
Balasis, G. [5 ]
机构
[1] Natl & Kapodistrian Univ Athens, Dept Phys, Athens, Greece
[2] Space Applicat & Res Consultancy SPARC, Athens, Greece
[3] Hellen Space Ctr, Athens, Greece
[4] Off Natl Etud & Rech Aerosp, Dept Space Environm, Toulouse, France
[5] Natl Observ Athens, IAASARS, Athens, Greece
来源
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS | 2023年 / 21卷 / 01期
基金
欧盟地平线“2020”;
关键词
neural networks; radial diffusion; ULF waves; radiation belts; solar wind; GEOMAGNETIC STORM; ELECTRONS; CHORUS;
D O I
10.1029/2022SW003283
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Radial diffusion is one of the dominant physical mechanisms driving acceleration and loss of electrons in the outer radiation belt. Therefore, the accurate estimation of radial diffusion coefficients (D-LL) is crucial for detailed radiation belt modeling. In recent years several semi-empirical (SE) models have been developed for the estimation of radial diffusion coefficients which predominantly rely on parameterizations of the Kp index. However, several studies have suggested that the estimations derived from such models can have large deviations from actual (measurement derived) D-LL values. In this work we have used the extensive D-LL database created in the framework of the Horizon 2020 SafeSpace project which spans 9 years of hourly D-LL calculations to develop a model which uses solely solar wind parameters for the derivation of D-LL values. The Electric and MagnEtic RAdiaL Diffusion (EMERALD) model is able to derive simultaneously the magnetic and electric components (DLLB ${\mathrm{D}}_{LL}<^>{B}$ and DLLE ${\mathrm{D}}_{LL}<^>{E}$, respectively) of the radial diffusion coefficient, and furthermore, provide realistic confidence levels on their estimation, which allows the transition from a deterministic paradigm to a robust probabilistic one. Evaluations on the performance of the EMERALD model are shown by comparing its outputs to the D-LL data, and examining the reproduction of various D-LL characteristics. Finally, comparisons with widely used SE models are shown and discussed.
引用
收藏
页数:17
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