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临近空间38°N大气密度特性及建模技术

肖存英 胡雄 杨钧烽 闫召爱 刘涛 程旋

肖存英, 胡雄, 杨钧烽, 等 . 临近空间38°N大气密度特性及建模技术[J]. 北京航空航天大学学报, 2017, 43(9): 1757-1765. doi: 10.13700/j.bh.1001-5965.2016.0735
引用本文: 肖存英, 胡雄, 杨钧烽, 等 . 临近空间38°N大气密度特性及建模技术[J]. 北京航空航天大学学报, 2017, 43(9): 1757-1765. doi: 10.13700/j.bh.1001-5965.2016.0735
XIAO Cunying, HU Xiong, YANG Junfeng, et al. Characteristics of atmospheric density at 38°N in near space and its modeling technique[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1757-1765. doi: 10.13700/j.bh.1001-5965.2016.0735(in Chinese)
Citation: XIAO Cunying, HU Xiong, YANG Junfeng, et al. Characteristics of atmospheric density at 38°N in near space and its modeling technique[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1757-1765. doi: 10.13700/j.bh.1001-5965.2016.0735(in Chinese)

临近空间38°N大气密度特性及建模技术

doi: 10.13700/j.bh.1001-5965.2016.0735
基金项目: 

国家重点研发计划 2016YFB0501503

详细信息
    作者简介:

    肖存英   女, 博士, 研究员, 硕士生导师; 主要研究方向:临近空间大气环境

    胡雄   男, 博士, 研究员, 博士生导师; 主要研究方向:临近空间大气环境

    通讯作者:

    肖存英, E-mail:xiaocy@nssc.ac.cn

  • 中图分类号: V419;V219;P351;P421

Characteristics of atmospheric density at 38°N in near space and its modeling technique

Funds: 

National Key R & D Program of China 2016YFB0501503

More Information
  • 摘要:

    针对临近空间大气环境复杂时空变化的定量表征和仿真建模,基于11年TIMED/SABER大气密度数据,采用网格划分和数学统计的方法,得到了38°N大气密度在20~100 km的气候平均值和标准差。定量结果用于表征和分析了静态缓变气候平均态以及动态瞬变大气扰动态的变化规律,结果表明,38°N大气平均密度随高度、季节、经度变化显著。在此基础上,提出了临近空间大气密度表征为气候平均量和大气扰动量之和的建模方法,并建立了大气随机扰动自回归模型,通过仿真试验及与激光雷达大气密度实测数据的比较,结果表明该建模方法可行。

     

  • 图 1  38°N大气密度平均值和标准差随经度的变化

    Figure 1.  Longitudinal variations of averages and standard deviations of atmospheric density at 38°N

    图 2  38°N、90°E大气密度的100个仿真实例

    Figure 2.  100 simulated examples of atmospheric density at 38°N, 90°E

    图 3  38°N、90°E仿真大气密度与激光雷达实测大气密度的比较

    Figure 3.  Comparison of simulated atmospheric density with LIDAR-observed atmospheric density at 38°N, 90°E

    图 4  沿假定航迹的仿真个例

    Figure 4.  A simulation example along supposed flight trace

    表  1  38°N、90°E大气密度在1月份的统计特征

    Table  1.   Statistical characteristics of atmospheric density at 38°N, 90°E in January

    高度/km 平均密度/(kg·m-3) 密度标准差/(kg·m-3) 平均密度相对US76偏差/% 密度标准差相对US76百分比
    20 0.085 25 0.001 968 -4.118 2.214
    25 0.038 1 0.000 926 5 -4.934 2.312
    30 0.017 31 0.000 539 3 -5.967 2.93
    35 0.008 003 0.000 293 1 -5.448 3.463
    40 0.003 826 0.000 168 8 -4.247 4.224
    45 0.001 921 8.461×10-5 -2.294 4.304
    50 0.001 008 4.928×10-5 -1.874 4.799
    55 0.000 543 3 3.343×10-5 -4.343 5.886
    60 0.000 284 5 2.015×10-5 -8.115 6.508
    65 0.000 141 4 1.059×10-5 -13.37 6.487
    70 6.53×10-5 4.467×10-6 -21.16 5.393
    75 2.935×10-5 2.663×10-6 -26.49 6.672
    80 1.329×10-5 1.395×10-6 -28.02 7.557
    85 5.984×10-6 6.546×10-7 -27.19 7.965
    90 2.707×10-6 2.839×10-7 -20.63 8.325
    95 1.249×10-6 1.361×10-7 -10.23 9.788
    100 5.39×10-7 7.51×10-8 -3.652 13.43
    下载: 导出CSV

    表  2  38°N、90°E大气密度在8月份的统计特征

    Table  2.   Statistical characteristics of atmospheric density at 38°N, 90°E in August

    高度/km 平均密度/(kg·m-3) 密度标准差/(kg·m-3) 平均密度相对US76偏差/% 密度标准差相对US76百分比
    20 0.095 14 0.001 27 7.006 1.428
    25 0.041 36 0.000 390 3 3.187 0.973 9
    30 0.019 09 0.000 183 5 3.682 0.996 9
    35 0.008 991 8.957×10-5 6.23 1.058
    40 0.004 309 5.803×10-5 7.835 1.452
    45 0.002 152 3.312×10-5 9.461 1.685
    50 0.001 126 1.897×10-5 9.659 1.847
    55 0.000 605 6 1.151×10-5 6.626 2.026
    60 0.000 323 4 9.916×10-6 4.442 3.203
    65 0.000 164 5 6.453×10-6 0.768 8 3.954
    70 8.006×10-5 3.916×10-6 -3.329 4.728
    75 3.724×10-5 1.984×10-6 -6.714 4.971
    80 1.626×10-5 1.061×10-6 -11.93 5.746
    85 6.64×10-6 6.488×10-7 -19.22 7.894
    90 2.71×10-6 3.082×10-7 -20.52 9.038
    95 1.156×10-6 1.457×10-7 -16.92 10.48
    100 4.922×10-7 7.302×10-8 -12.01 13.05
    下载: 导出CSV

    表  3  38°N假定航迹8月份某次大气密度的仿真数据

    Table  3.   Simulation data of atmospheric density along supposed flight trace at 38°N in August

    序号 经度/(°E) 高度/km 平均密度/(kg·m-3) 密度标准差/(kg·m-3) 仿真密度扰动量/(kg·m-3) 仿真密度总和/(kg·m-3) US76标准密度/(kg·m-3) 大气密度偏差/%
    1 90 20 0.095 14 0.00127 0.000 194 6 0.095 33 0.088 91 7.225
    2 85 35.56 0.008 304 8.674×10-5 0.000 125 0.008 429 0.007 794 8.151
    3 80 50.22 0.001 096 1.941×10-5 -1.411×10-5 0.001 082 0.001 8.207
    4 75 64 0.000 188 4 6.354×10-6 -1.692×10-6 0.000 186 7 0.000 18 6 0.373
    5 70 76.89 2.717×10-5 1.615×10-6 1.123×10-6 2.829×10-5 2.999×10-5 -5.661
    6 65 88.89 3.344×10-6 3.336×10-7 -2.023×10-7 3.141×10-6 4.162×10-6 -24.53
    7 60 100 4.997×10-7 7.820×10-8 1.066×10-7 6.064×10-7 5.594×10-7 8.397
    8 55 100 5.058×10-7 7.763×10-8 1.373×10-7 6.432×10-7 5.594×10-7 14.97
    9 50 100 5.028×10-7 7.943×10-8 1.045×10-7 6.073×10-7 5.594×10-7 8.557
    10 45 100 4.943×10-7 7.739×10-8 1.044×10-7 5.987×10-7 5.594×10-7 7.032
    11 40 100 5.019×10-7 8.076×10-8 1.450×10-8 5.164×10-7 5.594×10-7 -7.684
    12 35 100 5.012×10-7 7.309×10-8 7.436×10-8 5.756×10-7 5.594×10-7 2.898
    13 30 100 4.936×10-7 8.246×10-8 4.283×10-9 4.979×10-7 5.594×10-7 -11
    14 25 100 4.927×10-7 6.966×10-8 3.191×10-8 5.246×10-7 5.594×10-7 -6.215
    15 20 100 4.864×10-7 7.377×10-8 4.104×10-10 4.868×10-7 5.594×10-7 -12.98
    16 15 100 4.889×10-7 7.340×10-8 9.052×10-8 5.794×10-7 5.594×10-7 3.583
    17 10 100 4.864×10-7 6.865×10-8 -3.041×10-9 4.834×10-7 5.594×10-7 -13.59
    18 5 100 4.910×10-7 7.274×10-8 5.459×10-8 5.456×10-7 5.594×10-7 -2.464
    19 0 100 4.884×10-7 7.715×10-8 -3.546×10-8 4.529×10-7 5.594×10-7 -19.03
    20 355 100 4.874×10-7 7.358×10-8 -7.477×10-8 4.126×10-7 5.594×10-7 -26.24
    21 350 100 4.839×10-7 8.645×10-8 -9.498×10-8 3.889×10-7 5.594×10-7 -30.48
    22 345 100 4.853×10-7 8.262×10-8 -9.750×10-8 3.878×10-7 5.594×10-7 -30.68
    23 340 100 4.899×10 8.115×10-8 4.824×10-8 5.381×10-7 5.594×10-7 -3.8
    24 335 100 4.880×10-7 8.184×10-8 1.240×10-9 4.892×10-7 5.594×10-7 -12.54
    25 330 100 5.026×10-7 8.033×10-8 -1.913×10-8 4.835×10-7 5.594×10-7 -13.57
    26 325 100 4.969×10-7 7.662×10-8 -6.842×10-8 4.285×10-7 5.594×10-7 -23.4
    27 320 100 4.883×10-7 7.899×10-8 -4.075×10-8 4.475×10-7 5.594×10-7 -20
    28 315 89.7 2.973×10-6 3.369×10-7 2.661×10-7 3.239×10-6 3.611×10-6 -10.31
    29 310 78.18 2.239×10-5 1.412×10-6 -1.841×10-6 2.055×10-5 2.458×10-5 -16.41
    30 305 65.45 0.000 155 1 6.633×10-6 -9.634×10-6 0.000 145 4 0.000 154 -5.547
    31 300 51.52 0.000 929 1 1.755×10-5 -3.237×10-6 0.000 925 8 0.000 854 7 8.327
    32 295 36.36 0.007 313 7.660×10-5 -7.940×10-5 0.007 233 0.006 886 5.037
    33 290 20 0.092 51 0.001 049 -0.000 174 2 0.092 33 0.088 91 3.851
    下载: 导出CSV
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  • 收稿日期:  2016-09-13
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  • 网络出版日期:  2017-09-20

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