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地球电子外辐射带的数据同化建模与分析

本站小编 Free考研考试/2022-01-03

朱佳楠1,2,,
郭建广3,,,
倪彬彬1,2,
曹兴1,
项正1,
付松1,
顾旭东1,
马新1
1. 武汉大学电子信息学院空间物理系, 武汉 430072
2. 中国科学院比较行星学卓越创新中心, 合肥 230026
3. 中国气象局国家空间天气监测预警中心, 北京 100081

基金项目: 国家自然科学基金(42025404, 41904144, 41904143, 41674163), 中国科学院先导B计划(XDB41000000), 中国航天局预研项目(D020308, D020104, D020303), 中国博士后科学基金(2020M672405, 2019M662700), 博士后创新人才支持计划(BX20190252)资助


详细信息
作者简介: 朱佳楠, 女, 1996年生, 硕士研究生, 从事地球辐射带电子多维数据同化建模的研究.E-mail: zhujianan@whu.edu.cn
通讯作者: 郭建广, 男, 研究员, 主要从事空间天气预测预报方面的研究.E-mail: guojg@cma.gov.cn
中图分类号: P353

收稿日期:2020-12-16
修回日期:2021-01-17
上线日期:2021-05-10



Multi-dimensional data assimilation and analyses of Earth's outer electron radiation belt

ZHU JiaNan1,2,,
GUO JianGuang3,,,
NI BinBin1,2,
CAO Xing1,
XIANG Zheng1,
FU Song1,
GU XuDong1,
MA Xin1
1. School of Electronic Information, Wuhan University, Wuhan 430072, China
2. Chinese Academy of Sciences Center for Excellence in Comparative Planetology, Hefei 230026, China
3. Key Laboratory of Space Weather, National Center for Space Weather, China Meteorologic Administration, Beijing 100081, China


More Information
Corresponding author: GUO JianGuang,E-mail:guojg@cma.gov.cn
MSC: P353

--> Received Date: 16 December 2020
Revised Date: 17 January 2021
Available Online: 10 May 2021


摘要
地球电子外辐射带对太阳与地磁活动呈现高度动态变化的响应,了解外辐射带的全球动态变化过程对于近地空间粒子辐射环境的理解认知和预测预报具有重要意义.基于卡尔曼滤波数据同化方法,本文利用范阿伦A星、B星和GOES-13和GOES-15四颗卫星的辐射带电子观测数据,分别利用三种不同维度的辐射带物理模型,将观测结果与数值结果有机融合,对2013年3月地球外辐射带电子通量的径向分布与变化进行数据同化分析.结果表明,考虑了磁层波动与辐射带电子共振作用引起的径向扩散、投掷角扩散以及能量扩散过程的三维同化模型可有效、合理地重现外辐射带电子通量的径向分布.本文进一步利用该三维同化模型对2013年一整年外辐射带电子的相空间密度分布进行重构与分析,得到了不同绝热不变量和不同地磁活动条件下电子辐射带的时空演化过程,从而为深入理解外辐射带电子的变化过程和动力学机制提供了强有力信息.通过分析同化过程中的新息矢量以及度量同化过程中观测数据在多大程度上修改了物理模型结果,还有助于定量分析现有辐射带物理模型中的源项和损失项的相对贡献以及可能忽略的物理机制或过程.
范艾伦卫星/
GOES卫星/
地球电子外辐射带/
多维数据同化/
电子相空间密度

Responses of Earth's outer electron radiation belt to solar and geomagnetic activities are highly dynamic. Exploration of the dynamic variability of the outer radiation belt is of significance to comprehending, nowcasting and forecasting the complex particle radiation environment in geospace. Using the Kalman filter method, we combine the radiation belt electron observations from four satellites, i.e., Van Allen Probes A and B, GOES-13 and GOES-15, with three physical models of the outer electron radiation belt with different dimensions to assimilate the radial distributions and variations of outer radiation belt electron fluxes in March 2013. Detailed analyses of the assimilative results demonstrate that the three-dimensional (3-D) assimilation model that includes the effects of radial diffusion, pitch-angle diffusion and energy diffusion can reproduce effectively and reasonably the radial distributions and temporal changes of outer radiation belt electron fluxes. We further adopt this 3-D outer radiation belt data assimilation model to reconstruct and evaluate the dynamic variations of outer radiation belt electron phase space densities (PSD) for different values of the adiabatic invariants under different geomagnetic conditions over the entire year of 2013. The assimilative spatio-temporal evolution of outer radiation belt electron PSD provides robust information of the long-term radial profiles of outer radiation belt electrons to understand the underlying physical processes and dynamic mechanisms. In terms of calculations of the innovation vector and evaluations of how satellite observations can alter the simulation results of the physical radiation belt model, we can quantitatively evaluate the relative contributions of the source, acceleration and loss terms considered in the physical model and explore as well the physical processes/mechanisms that may be missing in it.
Van Allen Probes/
GOES satellites/
Earth's outer radiation belt/
Multi-dimensional data assimilation/
Electron phase space density



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