VTEC Modeling with Kriging Algorithm over China Area

HUANG Ling; ZHANG Hongping; XU Peiliang; WANG Cheng; LIU Jingnan

doi:10.13203/j.whugis20140503

Volume 41 Issue 6

Jun. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(6): 729-737. > DOI: 10.13203/j.whugis20140503

HUANG Ling, ZHANG Hongping, XU Peiliang, WANG Cheng, LIU Jingnan. VTEC Modeling with Kriging Algorithm over China Area[J]. Geomatics and Information Science of Wuhan University, 2016, 41(6): 729-737. DOI: 10.13203/j.whugis20140503

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VTEC Modeling with Kriging Algorithm over China Area

1.
Research Center of GNSS, Wuhan University, Wuhan 430079, China
2.
Kyoto University, Kyoto 611-0011, Japan

Funds:

The Key Project of the National Natural Science Foundation of China No. 41231064

the National High Technology Research & Development Program of China (863 Program) No.2014AA123101

the Fundamental Research Funds for the Central Universities No.2042016kf0061

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Author Bio:
HUANG Ling, PhD candidate, specializes in the GNSS ionospheric modeling and reversion. E-mail: huangling_gnss@whu.edu.cn
Corresponding author:
ZHANG Hongping, PhD, professor. E-mail: xwxiao@whu.edu.cn
Received Date: October 16, 2014
Published Date: June 04, 2016

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Abstract

Abstract

For real-time regional VTEC(vertical total electron content) modeling over China, ionospheric modeling is realized based on spherical cap harmonic functions, low-degree spherical harmonic functions, polynomial models and Kriging interpolation techniques. This paper focuses on the spatial variability and relevance of VTEC and Kriging interpolation methodology to achieve real-time regional VTEC modeling using China regional GPS data. Results indicate that fitting accuracy in the high latitude areas is better than in lower latitude areas, Kriging interpolation and polynomial modeling show better performance than the spherical cap harmonic function and low-degree spherical harmonic function. But polynomial modeling has a marginal effect as fitting precision decreases rapidly while the distance to the center of the modeling region is increased. The variance of grid VTEC estimated using Kriging algorithm, in contrast conforms closely to the actual situation, with shows higher precision when the number of IPPs increases over the region.
- ionosphere,
- VTEC,
- Kriging interpolation,
- semivariogram,
- spherical cap harmonic function model,
- low-degree spherical function model,
- polynomial model

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References

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