基于数据网格化方法的低轨辐射带建模技术

常峥; 王咏梅; 田天; 张贤国

doi:10.13700/j.bh.1001-5965.2014.0799

基于数据网格化方法的低轨辐射带建模技术

doi: 10.13700/j.bh.1001-5965.2014.0799

常峥^1,2,
王咏梅^1, ,,
田天³,
张贤国¹

1.
中国科学院国家空间科学中心, 北京 100190
2. 中国科学院大学地球科学学院, 北京 100049
3. 61741部队, 北京 100094

基金项目: 国家自然科学基金青年科学基金(41404149)

详细信息

作者简介:
常峥(1979-),男,北京人,博士研究生,changzh@nssc.ac.cn

通讯作者:
王咏梅(1967-),女,贵州纳雍人,研究员,wym@nssc.ac.cn,研究方向为高层大气、电离层光学遥感仪器研制和数据应用.

中图分类号: V221⁺.3;TB553
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- 被引次数: 0
出版历程
- 收稿日期: 2014-12-17
- 修回日期: 2015-01-05
- 网络出版日期: 2015-12-20

Modeling technology of radiation belt in LEO based on data gridding methods

1.
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2. College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China
3. Unit 61741, Beijing 100094, China

摘要

摘要: 地球辐射带中的高能带电粒子是引起航天器材料和器件性能退化甚至失效的主要空间环境因素.因此,航天器设计中所采用的辐射带模型的准确程度对于航天器的生存能力和航天任务的完成质量至关重要.在利用我国自主辐射带高能粒子探测数据进行的辐射带建模中,探测数据的空间网格化是一项非常重要的工作.介绍了我国辐射带探测数据的情况,以及辐射带建模的方法和步骤;重点研究了不同插值方法在低地球轨道(LEO)空间辐射带建模数据网格化中的应用,并开展了误差分析.研究结果表明:在各种常用的插值方法中,反距离加权法、自然邻点法和最近邻点法适合工程化应用.其中,反距离加权法生成的数据网格对粒子通量的反演结果精度最高,该方法采用低阶距离时得到的反演结果更为合理.
- 空间环境 /
- 辐射带 /
- 数据网格 /
- 插值 /
- 反距离加权法 /
- 自然邻点法 /
- 最近邻点法
Abstract: The energetic charged particle in the radiation belts of earth is the main environmental factor which can result in performance degradation and even failure of the material and device on spacecraft, so the accuracy of radiation belts model which is being used during design phase of spacecraft is very important to spacecraft performance of space mission and survivability. In the development of radiation belts model based on our own country's data from exploration of radiation belts, the gridding of discrete data is a fundamental task. The key facts of data from Chinese exploration of radiation belts were introduced, the goal and road-map of modeling were described, the application of interpolation in gridding of modeling of radiation belts in low-earth orbit(LEO) was discussed, and the significant errors were analysed. The result of interpolation indicates that in mainly interpolation methods, inverse distance weighting (IDW), natural neighbor and nearest neighbor are most suitable for engineering calculation, the particle flux which is inverted from data grid produced by IDW has the highest precision, and the result from IDW will be more accurate when IDW uses small exponent of distance.
- space environment /
- radiation belts /
- data grid /
- interpolation /
- inverse distance weighting /
- natural neighbor /
- nearest neighbor

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