Hi, 2020!

Global TEC Maps Prediction (1-d ahead)

Global TEC Maps Prediction (1-d ahead)

Global TEC Maps Prediction (1-d ahead)

Global TEC Maps Prediction (2-d ahead)

Global TEC Maps Prediction (1-d ahead)

Global TEC Maps Prediction (2-d ahead)

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References

  • 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., 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

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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.