Abstract
The ionospheric delay is still a major challenge for achieving precise global positioning since current global ionospheric modeling techniques still cannot meet precise data processing requirements. The low earth orbiters (LEO) navigation augmentation (LEO-NA) signals can be considered a new tool for the bottom ionospheric sensing, which has higher temporal–spatial resolution than the existing GNSS signals. A fully deployed LEO constellation hopefully enables continuous monitoring of the global ionosphere. The LEO-based ionospheric modeling involves two parts: the topside and the bottomside ionospheric modeling. The bottomside ionospheric sensing still confronts a few challenges. This study first attempts to build a regional bottomside ionospheric map (RBIM) using the LEO-NA signals from the Luojia-1A satellite. The proposed RBIM model is particularly suitable for the regional ionospheric model with limited LEO-NA observations. The area analyzed covered the southeast of China when the solar activity was low (13–14 January 2019). Two RBIM with 2.5° × 5° and 1° × 1° spatial resolution were established. Initial experiment results indicate the RMS of the RBIM model residuals for 2.5° × 5° and 1° × 1° achieve 0.90 and 0.33 TECU, respectively. Comparing the vertical bottomside electron content (VBEC) derived from RBIM with the global ionospheric map (GIM) and the regional ionospheric map (RIM), the overall RMS of the differences are 1.70 and 1.40 TECU, respectively, during the experiment period. The comparison between the differenced slant bottomside electron content (dSBEC) derived from observations and ionospheric models indicates that the RBIM significantly outperforms the GIM and RIM models.
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Data availability
The LEO Navigation Augmentation data from the Luojia-1A satellite is available upon reasonable request and with permission of the State Key Laboratory of Infomation Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. GIM data is available at ftp.aiub.unibe.ch. CMONOC data is available upon request.
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Acknowledgements
This research is funded by the National Natural Science Foundation of China (No. 42074036) and the Fundamental Research Funds for the Central Universities. We thank CMONOC for providing the regional GNSS tracking data.
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Li, T., Wang, L., Fu, W. et al. Bottomside ionospheric snapshot modeling using the LEO navigation augmentation signal from the Luojia-1A satellite. GPS Solut 26, 6 (2022). https://doi.org/10.1007/s10291-021-01189-w
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DOI: https://doi.org/10.1007/s10291-021-01189-w