Data assimilation of incoherent scatter radar observation into a one-dimensional midlatitude ionospheric model by applying ensemble Kalman filter

doi:10.1029/2007RS003631

	Data assimilation of incoherent scatter radar observation into a one-dimensional midlatitude ionospheric model by applying ensemble Kalman filter
	Yue, Xinan 1,5,6; Wan, Weixing 1; Liu, Libo 1; Zheng, Fei 4,6; Lei, Jiuhou 2; Zhao, Biqiang 1; Xu, Guirong 1,5,6; Zhang, Shun-Rong 3; Zhu, Jiang 4
刊名	RADIO SCIENCE
	2007-12-14
卷号	42 期号:6
ISSN号	0048-6604
DOI	10.1029/2007RS003631
文献子类	Article
英文摘要	[1] In this paper, electron densities during 25-28 September 2000 observed by the Millstone Hill incoherent scatter radar (ISR) are assimilated into a one-dimensional midlatitude ionospheric theoretical model by using an ensemble Kalman filter (EnKF) technique. It is found that (1) the derived vertical correlation coefficients of electron density show obvious altitude dependence. These variations are consistent with those from ISR observations. (2) The EnKF technique has a better performance than the 3DVAR technique especially in the data-gap regions, which indicates that the EnKF technique can extend the influences of observations from data-rich regions to data-gap regions more effectively. (3) Both the altitude and local time variations of the root mean square error (RMSE) of electron densities for the ensemble spread and ensemble mean from observation behave similarly. It is shown that the spread of the ensemble members can represent the deviations of ensemble mean from observations. (4) To achieve a better prediction performance, the external driving forces should also be adjusted simultaneously to the real weather conditions. For example, the performance of prediction can be improved by adjusting neutral meridional wind using equivalent wind method. (5) In the EnKF, there are often erroneous correlations over large distance because of the sampling error. This problem may be avoided by using a relative larger ensemble size.
WOS关键词	ELECTRON-DENSITY PROFILE ; MAPPING ELECTRODYNAMIC FEATURES ; HIGH-LATITUDE IONOSPHERE ; QUASI-GEOSTROPHIC MODEL ; SOLAR EUV FLUX ; MILLSTONE HILL ; F-REGION ; LOCALIZED OBSERVATIONS ; LOWER ATMOSPHERE ; STORM
WOS研究方向	Astronomy & Astrophysics ; Geochemistry & Geophysics ; Meteorology & Atmospheric Sciences ; Remote Sensing ; Telecommunications
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000251693600001
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/67786]
专题	中国科学院地质与地球物理研究所
通讯作者	Yue, Xinan
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 2.Natl Ctr Atmospher Res, High Altitude Observ, Boulder, CO 80301 USA 3.MIT, Haystack Observ, Westford, MA 01886 USA 4.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China 5.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan, Peoples R China 6.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
推荐引用方式 GB/T 7714	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 SCIENCE,2007,42(6).
APA	Yue, Xinan.,Wan, Weixing.,Liu, Libo.,Zheng, Fei.,Lei, Jiuhou.,...&Zhu, Jiang.(2007).Data assimilation of incoherent scatter radar observation into a one-dimensional midlatitude ionospheric model by applying ensemble Kalman filter.RADIO SCIENCE,42(6).
MLA	Yue, Xinan,et al."Data assimilation of incoherent scatter radar observation into a one-dimensional midlatitude ionospheric model by applying ensemble Kalman filter".RADIO SCIENCE 42.6(2007).