留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

TIEGCM集合卡尔曼滤波同化模型设计及初步试验

张亚楠 吴小成 胡雄

张亚楠, 吴小成, 胡雄. TIEGCM集合卡尔曼滤波同化模型设计及初步试验[J]. 空间科学学报, 2017, 37(2): 168-176. doi: 10.11728/cjss2017.02.168
引用本文: 张亚楠, 吴小成, 胡雄. TIEGCM集合卡尔曼滤波同化模型设计及初步试验[J]. 空间科学学报, 2017, 37(2): 168-176. doi: 10.11728/cjss2017.02.168
ZHANG Yanan, WU Xiaocheng, HU Xiong. TIEGCM Ensemble Kalman Filter Assimilation Model Design and Preliminary Results[J]. Chinese Journal of Space Science, 2017, 37(2): 168-176. doi: 10.11728/cjss2017.02.168
Citation: ZHANG Yanan, WU Xiaocheng, HU Xiong. TIEGCM Ensemble Kalman Filter Assimilation Model Design and Preliminary Results[J]. Chinese Journal of Space Science, 2017, 37(2): 168-176. doi: 10.11728/cjss2017.02.168

TIEGCM集合卡尔曼滤波同化模型设计及初步试验

doi: 10.11728/cjss2017.02.168
基金项目: 

国家自然科学基金项目资助(41204137)

详细信息
    作者简介:

    张亚楠,E-mail:zhangyanan113@mails.ucas.ac.cn

  • 中图分类号: P352

TIEGCM Ensemble Kalman Filter Assimilation Model Design and Preliminary Results

  • 摘要: 选择参数化的电离层热层理论模型TIEGCM作为背景模型,基于COSMIC掩星观测的电子密度廓线数据,应用集合卡尔曼滤波方法建立全球电离层电子密度同化模型,实现了全球电离层的电子密度同化.同化结果表明,该同化模型能将观测资料有效同化到背景模式中,获得全球三维电离层电子密度.与背景模式相比,同化得到的电子密度相对于观测值的偏差显著下降.对于有同化和无同化参与的试验,NmF2的标准偏差分别降低约60%和20%.此外,分组同化与同时同化的结果对比显示,平均偏差改善基本一致,同时同化后的标准偏差在峰值高度以上略有减小.

     

  • [1] SCHERLIESS L, THOMPSON D C, SCHUNK R W. Ionospheric dynamics and drivers obtained from a physics-based data assimilation model[J]. Radio Sci., 2009, 44(1):RS0A32
    [2] YUE Xinan. Modeling and Data assimilation of Mid- and Low-latitude Ionosphere[D]. Wuhan:Wuhan Institute of Physics and Mathematics, Graduate University of Chinese Academy of Sciences, 2008(乐新安. 中低纬电离层模拟与数据同化研究[D]. 武汉:中国科学院研究生院(武汉物理与数学研究所), 2008)
    [3] SCHUNK R W, SCHERLIESS L, SOJKA J J, et al. Glo-bal assimilation of ionospheric measurements (GAIM)[J]. Radio Sci., 2004, 39(1):RS0S02
    [4] SCHERLIESS L, SCHUNK R W, SOJKA J J, et al. Development of a physics-based reduced state Kalman filter for the ionosphere[J]. Radio Sci., 2004, 39(1):RS1S04
    [5] SCHERLIESS L, SCHUNK R W, SOJKA J J, et al. Utah State University Global Assimilation of Ionospheric Measurements Gauss-Markov Kalman filter model of the ionosphere:model description and validation[J]. J. Geophys. Res. Space Phys., 2006, 111(A11):A11315
    [6] MATSUO T, LEE I T, ANDERSON J L. Thermospheric mass density specification using an ensemble Kalman filter[J]. J. Geophys. Res. Space Phys., 2013, 118(3):1339-1350
    [7] LEE I T, MATSUO T, RICHMOND A D, et al. Assi-milation of FORMOSAT-3/COSMIC electron density profiles into a coupled thermosphere/ionosphere model using ensemble Kalman filtering[J]. J. Geophys. Res. Space Phys., 2012, 117(A10):A10318
    [8] EVENSEN G. The ensemble Kalman filter for combined state and parameter estimation[J]. IEEE Control. Syst., 2009, 29(3):83-104
    [9] YUE Xinan, SCHREINER W S, LEI J, et al. Error ana-lysis of Abel retrieved electron density profiles from radio occultation measurements[J]. Ann. Geophys., 2010, 28(1):217-222
    [10] BUST G S, GARNER T W, GAUSSIRAN II T L. Ionospheric Data Assimilation Three-Dimensional (IDA3D):a global, multisensor, electron density specification algorithm[J]. J. Geophys. Res. Space Phys., 2004, 109(A11):A11312
    [11] YUE Xinan, WAN Weixing, LIU Libo, et al. Data assimilation of incoherent scatter radar observation into a one-dimensional midlatitude ionospheric model by applying ensemble Kalman filter[J]. Radio Sci., 2007, 42(6):RS6006
    [12] YUE Xinan, WAN Weixing, LIU Libo, et al. Development of an ionospheric numerical assimilation nowcast and forecast system based on Gauss-Markov Kalman filter-an observation system simulation experiment taking example for China and its surrounding area[J]. Chin. J. Geophys., 2010, 53(4):787-795(乐新安, 万卫星, 刘立波, 等. 基于Gauss-Markov卡尔曼滤波的电离层数值同化现报预报系统的构建-以中国及周边地区为例的观测系统模拟试验[J]. 地球物理学报, 2010, 53(4):787-795)
    [13] HMAILL T M. Ensemble-Based Data Assimilation[R]//Advancing Understanding and Predictions of Climate Variability. Boulder, Colorado, USA:NOAA-CIRES Climate Diagnostics Center, 2002
  • 加载中
计量
  • 文章访问数:  1698
  • HTML全文浏览量:  63
  • PDF下载量:  1235
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-01-25
  • 修回日期:  2016-03-11
  • 刊出日期:  2017-03-15

目录

    /

    返回文章
    返回