Regional Ionospheric TEC Reconstruction by Data Assimilation Technique

OU Ming; ZHEN Weimin; XU Jisheng; YU Xiao; LIU Yiwen; LIU Dun

doi:10.13203/j.whugis20150297

Volume 42 Issue 8

Aug. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(8): 1075-1081. > DOI: 10.13203/j.whugis20150297

OU Ming, ZHEN Weimin, XU Jisheng, YU Xiao, LIU Yiwen, LIU Dun. Regional Ionospheric TEC Reconstruction by Data Assimilation Technique[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1075-1081. DOI: 10.13203/j.whugis20150297

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Regional Ionospheric TEC Reconstruction by Data Assimilation Technique

OU Ming^{1, 2,},
ZHEN Weimin²,
XU Jisheng¹,
YU Xiao^{1, 2},
LIU Yiwen²,
LIU Dun²

1.
School of Electronic Information, Wuhan University, Wuhan 430079, China
2.
China Research Institute of Radiowave Propagation, Qingdao 266107, China

Funds:

International Science & Technology Cooperation Program of China 2014DFR-21280

Equipment and Technology Foundation Program 315030409

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Author Bio:
OU Ming, PhD candidate, specializes in ionospheric tomography and ionospheric data assimilation. E-mail: ohm1122@163.com
Received Date: December 19, 2015
Published Date: August 04, 2017

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Abstract

Abstract

Accurate determination of the state of ionosphere has become a key point as radio-wave information systems become more spatially dependent. Data assimilation technique is an important method to obtain ionospheric parameters that is useful in ionospheric study. To provide specification of the ionosphere total electron content(TEC)for current conditions, a new ionospheric TEC reconstruction method is developed in this paper by utilizing data assimilation technique. With the output of NeQuick model as background field and Kalman filter as assimilation algorithm, regional three dimensional ionospheric electron density reconstruction can be implemented by data assimilation of 39 GPS observations from continuously operating reference stations(CORS) of NOAA(National Oceanic and Atmospheric Administration), while TEC map can be obtained by vertical integral of electron density al. For reducing the reduction in the computational requirements, the regional TEC maps are generated accordingly with the spatial and temporal resolution being 2.5° ×5° and 1 hour respectively. Data assimilation results have been validated through the comparison with 10 independent GPS observations, the NeQuick model values and the global ionosphere maps(GIM) from Center for Orbit Determination of Europe(CODE) over 31 days in December, 2014. Results show that data assimilation derived TEC maps are more effective in reducing the mean error and standard error of TEC than NeQuick model and GIM data. These results demonstrate the potential of data assimilation technique in providing accurate regional or even global specification of the ionosphere.
- ionosphere,
- data assimilation,
- Kalman filter,
- TEC map,
- GIM,
- NeQuick model

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References (15)

References

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