The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations

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KARIMI SEDIGHEH; Sharifi Mohamad Ali; FARZANEH SAEED

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Journal Paper

Paper Information

Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2022 | Volume:9 | Issue:4 Page(s): 87-107

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Title

The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations

Author(s)

KARIMI SEDIGHEH | Sharifi Mohamad Ali | FARZANEH SAEED | Issue Writer Certificate

Keywords

Total electron content (TEC)

Swarm

GPS

IRI2016 model

variance component estimation

Abstract

This paper presents a model, the International Reference Model 2016 (IRI), in order to improve the vertical total electron content (VTEC) maps by combining Swarm observations with global positioning system (GPS) ones. The proposed model consists of two parts: the background model and the corrections. In this paper, the IRI2016 model was selected as the background model and the corrections were modeled by spherical harmonic expansion functions up to the degree and rank 15 in a Sun-fixed reference frame. In the combination of VTECs derived from Swarm and GPS, the systematic biases of Swarm satellites are considered as unknown constant parameters in each epoch of modeling. Besides, in order to take the different accuracy levels of observational groups into consideration, the Helmert variance component estimation method is used. To evaluate the proposed model, the two-dimensional combined global ionosphere maps (GIMs) are constructed on the 28th of September 2017 and the 3rd of January 2018 with 7 and 1 kp-indices values, respectively. The comparison of the combined GIM maps with the International GNSS Service (IGS) GIM maps, shows that the combined model is more compatible with IGS maps, and adding Swarm and GPS observations to the IRI2016 background model can significantly improve the IRI2016 model, especially in oceanic regions. The results show that the root mean square (RMS) and root mean square error (RMSE) maps are decreased about 19% to 45% and 43% to 67% for the day with high Kp-index and about 13% to 40% and 15% to 43% for the day with low kp-index, respectively.

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APA: Copy

KARIMI, SEDIGHEH, Sharifi, Mohamad Ali, & FARZANEH, SAEED. (2022). The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 9(4 ), 87-107. SID. https://sid.ir/paper/1051354/en

Vancouver: Copy

KARIMI SEDIGHEH, Sharifi Mohamad Ali, FARZANEH SAEED. The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2022;9(4 ):87-107. Available from: https://sid.ir/paper/1051354/en

IEEE: Copy

SEDIGHEH KARIMI, Mohamad Ali Sharifi, and SAEED FARZANEH, “The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 9, no. 4 , pp. 87–107, 2022, [Online]. Available: https://sid.ir/paper/1051354/en

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