典型热层密度模式误差分析

刘卫; 王荣兰; 刘四清; 龚建村

doi:10.11728/cjss2017.05.538

典型热层密度模式误差分析

doi: 10.11728/cjss2017.05.538

1. 中国科学院国家空间科学中心北京 100190;
2. 中国科学院大学北京 100049

基金项目:

国家重点研发计划项目资助（2016YFB0501503）

详细信息

作者简介:
刘卫,E-mail:liuwei@nssc.ac.cn

中图分类号: V474.3
计量
- 文章访问数: 711
- HTML全文浏览量: 5
- PDF下载量: 911
- 被引次数: 0
出版历程
- 收稿日期: 2016-07-05
- 修回日期: 2017-04-11
- 刊出日期: 2017-09-15

Error Analysis of Typical Atmospheric Density Modelormalsize

1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190;
2. University of Chinese Academy of Sciences, Beijing 100049

摘要

摘要: 以CHAMP卫星2001年5月15日至2008年12月31日期间2755天的加速度计反演热层大气密度数据为基准，对JB2008和MSISE00两种模式的反演误差进行了统计分析.发现这两种模式整体上均高估了热层大气密度，但JB2008模式的精度优于MSISE00模式.JB2008和MSISE00模式的平均相对误差分别为2.2%和17.6%.对空间环境简要分类，统计各类型事件下热层实测和模式密度的纬度和地方时特性，发现MSISE00模式具有较好的地方时特性，而JB2008模式具有较好的纬度特性.研究结果对掌握目前热层密度模式误差特性及指导模式改进方向具有一定意义.
- 热层密度 /
- 模式误差 /
- 误差特性
Abstract: Based on the density data from May 15, 2001 to Dec. 31, 2008 derived from CHAMP accelerometer, the errors of JB2008 and MSISE00 model are analyzed. The results show that the two models both overestimate the atmospheric density, and the JB2008 model is better than the MSISE00 model (the average biases of JB2008 and MSISE00 are 2.2% and 17.6% respectively). Most relative error of JB2008 mode is from -20% to 20%, the proportion is as high as 89%. However, it is only 58% in the case of MSISE00. The two models have no obvious difference below the height of 450km, which is consistent with the conclusion of literature. Space environment is classified into four types, and the model characteristics of latitude and local time are analyzed for each kind of space environment. MSISE00 model has better local time characteristics while JB2008 has better latitude characteristics. The results are valuable for mastering the model error characteristics and improving the atmospheric density model.
- Atmospheric density /
- Model error /
- Error character

HTML全文

参考文献(12)

[1]	WANG Hongbo, ZHAO Changyin. Use CHAMP/STAR accelerometer data to evaluate atmospheric density models during solar maximum year[J]. Acta Astron. Sin., 2008, 49 (2):168-178(汪宏波, 赵长印. 用CHAMP加速仪数据校验太阳活动峰年的大气模型精度[J]. 天文学报, 2008, 49 (2):168-178)
[2]	PARDINI C, MOE K, ANSELMO L. Thermospheric density model biases at the 23rd sunspot maximum[J]. Planet. Space Sci., 2012, 67 (1):130-146
[3]	MURRAY S A, HENLEY E M, JACKSON D R, et al. Assessing the performance of thermospheric modeling with data assimilation throughout solar cycles 23 and 24[J]. Space Weather, 2015, 13 (4):220-232
[4]	BRUINSMA S, TAMAGNAN D, BIANCALE R. Atmospheric densities derived from CHAMP/STAR accelerometer observations[J]. Planet. Space Sci., 2004, 52 (4):297-312
[5]	QI Yalong, LI Huijun, XIANG Jie, et al. Ballistic coefficient estimation of satellite in low earth orbit and atmosphere model error analysis[J]. Chin. J. Space Sci., 2014, 34 (1):89-94(漆亚龙, 李汇军, 项杰, 等. 低轨航天器弹道系数估算及热层大气模型误差分析[J]. 空间科学学报, 2014, 34 (1):89-94)
[6]	LI Yongping, ZHU Guangwu, QIN Guotai, et al. Significant difference of the thermospheric density between the model and observation values of satellite during different geomagnetic storm events and different altitudes[J]. Chin. J. Geophys., 2014, 57 (11):3703-3714(李永平, 朱光武, 秦国泰, 等. 不同高度和不同地磁扰动期间热层大气密度模式值与探测值的显著差异[J]. 地球物理学报, 2014, 57 (11):3703-3714)
[7]	CHEN Xuxing, HU Xiong, XIAO Cunying, et al. Correction method of the low earth orbital neutral density prediction based on the satellites data and NRLMSISE-00 model[J]. Chin. J. Geophys., 2013, 56 (10):3246-3254(陈旭杏, 胡雄, 肖存英, 等. 基于卫星数据和NRLMSISE-00模型的低轨道大气密度预报修正方法[J]. 地球物理学报, 2013, 56 (10):3246-3254)
[8]	MIAO Juan, LIU Siqing, LI Zhitao, et al. Correlation of thermosphere density variation with different solar and geomagnetic indices[J]. Manned Spacefl., 2012, 18 (5):24-30(苗娟, 刘四清, 李志涛, 等. 热层大气密度变化特征与太阳辐射和地磁指数的相关性分析[J]. 载人航天, 2012, 18 (5):24-30)
[9]	NIU Jun, FANG Hanxian, WENG Libin. Correlations between solar activity and thermospheric density[J]. Chin. J. Space Sci., 2014, 34 (1):73-80(牛俊, 方涵先, 翁利斌. 太阳活动与热层大气密度的相关性研究[J]. 空间科学学报, 2014, 34 (1):73-80)
[10]	MARCOS F, BOWMAN B, SHEEHAN R. Accuracy of Earth's thermospheric neutral density models[C]//AIAA/AAS Astrodynamics Specialist Conference and Exhibit. Keystone, Colorado:AIAA, 2006
[11]	BOWMAN B, TOBISKA W K, MARCOS F A, et al. A new empirical thermospheric density model JB2008 using new solar and geomagnetic indices[C]//AIAA/AAS Astrodynamics Specialist Conference and Exhibit. Honolulu, Hawaii:AIAA, 2008
[12]	LIU Wei, WANG Ronglan, LIU Siqing, et al. Accuracy analysis of LEO forecast under four typical space environment[J]. Manned Spacefl., 2017, 23 (2):177-184(刘卫, 王荣兰, 刘四清, 等. 四种典型空间环境下LEO预报精度分析[J]. 载人航天, 2017, 23 (2):177-184)