一种全球临近空间大气密度建模方法及应用

doi:10.13700/j.bh.1001-5965.2019.0614

北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (12): 2227-2235.doi: 10.13700/j.bh.1001-5965.2019.0614

一种全球临近空间大气密度建模方法及应用

程旋^1,2, 肖存英³, 杨钧烽¹, 胡雄¹, 闫召爱¹, 柳丹^1,2

1. 中国科学院国家空间科学中心空间环境态势感知技术重点实验室, 北京 100190;
2. 北京师范大学天文系, 北京 100875;
3. 中国科学院大学, 北京 100049

收稿日期:2019-12-05 发布日期:2020-12-28
通讯作者: 肖存英 E-mail:xiaocunying@bnu.edu.cn
作者简介:程旋,男,博士研究生。主要研究方向:临近空间大气建模及应用;肖存英,女,博士,教授,博士生导师。主要研究方向:临近空间大气环境。
基金资助:
中国科学院A类战略性先导科技专项（XDA17010301）；国家自然科学基金（11872128，91952111）；国家空间科学中心“青年科技创新”课题（Y9211FAF3S）

A modeling method and its application of global atmospheric density in near space

CHENG Xuan^1,2, XIAO Cunying³, YANG Junfeng¹, HU Xiong¹, YAN Zhaoai¹, LIU Dan^1,2

1. Key Laboratory of Science and Technology on Environmental Space Situation Awareness, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;
2. Department of Astronomy, Beijing Normal University, Beijing 100875, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-12-05 Published:2020-12-28

摘要/Abstract

摘要： 基于TIMED/SABER卫星2002—2018年观测的20~100 km大气密度数据，统计获得多年月平均值和标准偏差的全球网格数据。利用网格数据，分析了大气密度的变化特征。以网格数据为基准，计算了USSA76的相对偏差，分析了USSA76相对偏差的分布特征。以网格数据为驱动，将大气密度表征为平均值与大尺度扰动量和小尺度扰动量的加和，大尺度扰动和小尺度扰动分别采用余弦函数和一阶自回归模型表征，初步建立了全球临近空间大气密度模型。通过对比模型仿真值与激光雷达观测值，表明模型仿真值与观测值具有较好的吻合度，验证了建模方法的可行性。利用蒙特卡罗方法可再现给定轨迹上所有可能的大气状态。

关键词: 临近空间, 大气密度, 建模, 仿真, 应用

Abstract: Based on the 20-100 km atmospheric density data observed by TIMED/SABER satellite from year 2002 to 2018, the global grid data of monthly average and standard deviation are calculated statistically. Based on the grid data, the characteristics of atmospheric density variation are analyzed. The relative errors of USSA76 are calculated and the distribution characteristics of relative errors of USSA76 are analyzed. In addition, driven by the grid data, the atmospheric density is characterized as the sum of the monthly average and the large-scale disturbances and small-scale disturbances. The large-scale perturbations and small-scale perturbations are characterized by cosine functions and first-order autoregressive models, respectively. And a global near-space atmospheric density model is initially established. By comparing the simulated values of the model with the observed values of the lidar, the results show that the model values have a good agreement with the observed values, which verifies that the modeling method is feasible. Finally, Monte Carlo method can be used to reproduce all possible states of atmospheric density on a given trajectory.

Key words: near space, atmospheric density, modeling, simulation, application

中图分类号:

程旋, 肖存英, 杨钧烽, 胡雄, 闫召爱, 柳丹. 一种全球临近空间大气密度建模方法及应用[J]. 北京航空航天大学学报, 2020, 46(12): 2227-2235.

CHENG Xuan, XIAO Cunying, YANG Junfeng, HU Xiong, YAN Zhaoai, LIU Dan. A modeling method and its application of global atmospheric density in near space[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(12): 2227-2235.

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一种全球临近空间大气密度建模方法及应用

A modeling method and its application of global atmospheric density in near space

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