Forecasting Medium-Term F10.7 Using the Deep-Learning Informer Model

Author:

Zhang Kun,Zuo Pingbing,Zou Zhengyang,Feng Xueshang,Huang Yanshi,Wang Shijin,Wei Fengsi,Yang Hao

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Hong Kong-Macao Exchange Project of Harbin Institute of Technology, Shenzhen Key Laboratory Launching Project

Science and Technology Development Fund of Macao SAR

Publisher

Springer Science and Business Media LLC

Reference29 articles.

1. Bilitza, D.: 2018, IRI the international standard for the ionosphere. Adv. Radio Sci. 16, 1.

2. Bowman, B., Tobiska, W.K., Marcos, F., Huang, C., Lin, C., Burke, W.: 2008, A new empirical thermospheric density model JB2008 using new solar and geomagnetic indices. In: AIAA/AAS Astrodynamics Specialist Conf., 6438.

3. Bruinsma, S., Boniface, C.: 2021, The operational and research DTM-2020 thermosphere models. J. Space Weather Space Clim. 11, 47.

4. Covington, A.E.: 1969, Solar radio emission at 10.7 cm, 1947-1968. J. Roy. Astron. Soc. Can. 63, 125.

5. Du, Z.: 2020, Forecasting the daily 10.7 cm solar radio flux using an autoregressive model. Solar Phys. 295, 125.

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