New reconstruction and forecasting algorithm for TEC data

doi:10.1088/1674-1056/23/9/099401

Abstract To reconstruct the missing data of the total electron content (TEC) observations, a new method is proposed, which is based on the empirical orthogonal functions (EOF) decomposition and the value of eigenvalue itself. It is a self-adaptive EOF decomposition without any prior information needed, and the error of reconstructed data can be estimated. The interval quartering algorithm and cross-validation algorithm are used to compute the optimal number of EOFs for reconstruction. The interval quartering algorithm can reduce the computation time. The application of the data interpolating empirical orthogonal functions (DINEOF) method to the real data have demonstrated that the method can reconstruct the TEC map with high accuracy, which can be employed on the real-time system in the future work.

Keywords: reconstruction total electron content (TEC) data empirical orthogonal function (EOF) decomposition interval quartering algorithm

Received: 06 December 2013
Revised: 02 April 2014
Accepted manuscript online:

PACS:	94.20.Cf	(Ionospheric modeling and forecasting)
	02.60.Ed	(Interpolation; curve fitting)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 41105013, 41375028, and 61271106), the National Natural Science Foundation of Jiangsu Province, China (Grant No. BK2011122), and the Key Laboratory of Meteorological Observation and Information Processing Scientific Research Fund of Jiangsu Province, China (Grant No. KDXS1205).

Corresponding Authors: Sheng Zheng
E-mail: 19994035@sina.com

Cite this article:

Wang Jun (王俊), Sheng Zheng (盛峥), Jiang Yu (江宇), Shi Han-Qing (石汉青) New reconstruction and forecasting algorithm for TEC data 2014 Chin. Phys. B 23 099401

[1]	Liu R Y, Liu G H and Wu J 2008 Chin. J. Geophys. 51 300 (in Chinese)
[2]	Liu R Y, Xu Z and Wu J 2005 J. Atmos. Sol. Terr. Phys. 67 1129
[3]	Yue X A, Wan W X and Liu L B 2010 Chin. J. Geophys. 53 787 (in Chinese)
[4]	Zeng M, Wang W L and Bai X D 2013 Chin. Phys. B 22 098105
[5]	Guo P, Kuo Y H, Sokolovskiy S V and Lenschow D H 2011 J. Atmos. Sci. 68 1703
[6]	Guo P, Xu X and Zhang G X 2011 J. Atmos. Sol-Terr. Phys. 73 839
[7]	Sheng Z 2012 Acta Phys. Sin. 61 219401 (in Chinese)
[8]	Ma L M and Wu Z M 2010 Chin. Phys. B 19 010201
[9]	Sheng Z and Fang H X 2012 Chin. Phys. B 21 029301
[10]	Emery W and Thomson R 1998 Data Analysis Methods in Physical Oceanography (Pergamon: Elsevier Science Pub. Co.)
[11]	Everson R, Cornillon P and Sirovich L 2002 J. Phys. Ocean. 27 468
[12]	Sheng Z and Fang H X 2013 Chin. Phys. B 22 029301
[13]	Sheng Z 2013 Chin. Phys. B 22 029302
[14]	Alvarez A, Barth A and Rixen M 2005 Ocean Model. 17 325
[15]	Beckers J and Rixen M 2003 J. Atmos. Ocean Technol. 20 1839
[16]	Chen L P and Lü X X 2009 Chin. Phys. B 18 189
[17]	Wan W X, Ding F and Ren Z P 2012 Sci. China Tech. Sci. 55 1161
[18]	Zhang A J, Ridley Z X and Hao Y 2012 J. Geophys. Res. 117 03328
[19]	Mao T, Wan W, Yue L S, Zhao B and Guo J 2008 Radio Sci. 43 3629
[20]	Bennett A 2002 Inverse Modeling of the Ocean and the Atmosphere (Cambridge: Cambridge University Press)
[21]	Toumazou V and Cretaux J 2001 Mon. Weath Rev. 125 1243
[22]	Alvarez A 2003 J. Atmos. Ocean Technol. 20 717
[23]	Beckers J, Barth A and Alvarez A 2006 Ocean Sci. 16 183
[24]	Wang H Z, Zhang R, Liu W, Wang G H and Jin B G 2008 Appl. Math. Mech. 29 1351
[25]	Alvarez A, Barth A and Beckers J 2007 JGR 112 3008

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New reconstruction and forecasting algorithm for TEC data

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