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典型热层密度模式误差分析
引用本文:刘卫, 王荣兰, 刘四清, 龚建村. 典型热层密度模式误差分析[J]. 空间科学学报, 2017, 37(5): 538-546. doi: 10.11728/cjss2017.05.538
作者姓名:刘卫  王荣兰  刘四清  龚建村
作者单位: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)
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.



关 键 词:热层密度   模式误差   误差特性
收稿时间:2016-07-05
修稿时间:2017-04-11

Error Analysis of Typical Atmospheric Density Modelormalsize
LIU Wei, WANG Ronglan, LIU Siqing, GONG Jiancun. Error Analysis of Typical Atmospheric Density Modelormalsize[J]. Chinese Journal of Space Science, 2017, 37(5): 538-546. doi: 10.11728/cjss2017.05.538
Authors:LIU Wei  WANG Ronglan  LIU Siqing  GONG Jiancun
Affiliation:1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190;;;2. University of Chinese Academy of Sciences, Beijing 100049
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. 
Keywords:Atmospheric density  Model error  Error character
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