Hi, 2020!

Publications on GNSS & Ionosphere

  • Hu, Z., Fan, L., Wang, C., Wang, Z., Shi, C., & Jing, G. (2020). More reliable global ionospheric maps combined from ionospheric products of the seven IGS analysis centers. Results in Physics, 17, 103162. https://doi.org/10.1016/j.rinp.2020.103162

  • Wang, C., K. Xue, Z. Wang, C. Shi, L. Fan and T. Zhang, Global ionospheric maps forecasting based on an adaptive autoregressive modeling of grid point VTEC values, Astrophysics and Space Science Vol. 365, No. 3, 2020, pp. 48. https://doi.org/10.1007/s10509-020-03760-2

  • Song, D., C. Shi, Z. Wang, C. Wang and G. Jing, Correlation-weighted least squares residual algorithm for RAIM, Chinese Journal of Aeronautics, 2020. https://doi.org/10.1016/j.cja.2019.12.012

  • Wang, C., Global ionospheric maps with a high temporal resolution. Results in Physics, 2020. 16: p. 102927. https://doi.org/10.1016/j.rinp.2020.102927

  • Fan, L., Shi, C., Wang, C., Guo, S. Wang, Z., and Jing, G., Impact of satellite clock offset on differential code biases estimation using undifferenced GPS triple-frequency observations. GPS Solutions, 2020. 24(1): p. 32. https://doi.org/10.1007/s10291-019-0946-8

  • Fan, L., C. Shi, M. Li, C. Wang, F. Zheng, G. Jing and J. Zhang, GPS satellite inter-frequency clock bias estimation using triple-frequency raw observations, Journal of Geodesy, 2019. https://doi.org/10.1007/s00190-019-01310-5

  • Cheng Wang, Lei Fan, Zhipeng Wang & Chuang Shi (2019) Assessment of global ionospheric maps over continental areas using precise point positioning technique, Journal of Spatial Science, https://doi.org/10.1080/14498596.2019.1654943

  • Shi, C., Zhang, T., Wang, C., Wang, Z., & Fan, L., Comparison of IRI-2016 model with IGS VTEC maps during low and high solar activity period. Results in Physics, 2019.03(12): 555-561. https://doi.org/10.1016/j.rinp.2018.12.022

  • Wang, C., Xin, S., Liu, X., Shi, C., & Fan, L. Prediction of global ionospheric VTEC maps using an adaptive autoregressive model. Earth, Planets and Space, 2018, 70(1), 18. https://doi.org/10.1186/s40623-017-0762-8

  • Wang, C., Shi, C., Fan, L., & Zhang, H. Improved Modeling of Global Ionospheric Total Electron Content Using Prior Information. Remote Sensing, 2018, 10(1), 63. https://doi.org/10.3390/rs10010063

  • Roma-Dollase, D., M. Hernández-Pajares, A. Krankowski, K. Kotulak, R. Ghoddousi-Fard, Y. Yuan, Z. Li, H. Zhang, C. Shi and C. Wang, et al. Consistency of seven different GNSS global ionospheric mapping techniques during one solar cycle. Journal of Geodesy, 2017.11 (4):1432-1394. https://doi.org/10.1007/s00190-017-1088-9

  • Wang, C., Shi, C., Zhang, H. Project loon based augmentation for global ionospheric modeling over southern hemisphere. Scientific Reports 2017, 7, 45976. https://doi.org/10.1038/srep45976

  • Huang L, Zhang H, Xu P, Geng J, Wang C, Liu J. Kriging with Unknown Variance Components for Regional Ionospheric Reconstruction. Sensors. 2017 Feb 27;17(3):468. https://doi.org/10.3390/s17030468

  • Fan, L., M. Li, C. Wang and C. Shi, BeiDou satellite’s differential code biases estimation based on uncombined precise point positioning with triple-frequency observable, Advances in Space Research, 2016, 59(3). https://doi.org/10.1016/j.asr.2016.07.014

  • Wang, C., C. Shi, H. Zhang and L. Fan, Improvement of global ionospheric VTEC maps using the IRI 2012 ionospheric empirical model, Journal of Atmospheric and Solar-Terrestrial Physics Vol. 146, 2016, pp. 186-193. https://doi.org/10.1016/j.jastp.2016.05.014

  • Wang, C., Comparison of ionospheric characteristic parameters obtained by GPS and ionosonde with IRI model over China, Journal of Earth System Science Vol. 125, No. 4, 2016, pp. 745-759. https://doi.org/10.1007/s12040-016-0694-x

  • Wang H, Wang C, Wang J X, et al. Global characteristics of the second-order ionospheric delay error using inversion of electron density profiles from COSMIC occultation data. Sci China-Phys Mech Astron, 2014, 57: 365-374. https://doi.org/10.1007/s11433-013-5376-y

IONOSPHERE.CN

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Our work is conducted as a part of the International Association of Geodesy (IAG) working group 4.3.1 "Real-time Ionosphere Monitoring and Modelling" and working group 4.3.2 "Prediction of ionospheric state and dynamics".

Address: Room 103, International School, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, 100083, P.R. China

Email: ac@ionosphere.cn

Phone: +86 16601168599

PROSPECT

Focus and concentration on studying ionospheric models. Implementation service of ionospheric delay correction for satellite navigation and wide-area, local-area augmentation system. A basis paltform for exploring the change rules and physical mechanism of the ionosphere.

To understand the structure and change rules of the ionosphere; To reduce the space environment risk of satellite lauch; To improve the performance of satellite navigation system and radar; To increase the reliability of radio communications; To strengthen early warning and forecasting of earthquake and tsunami.