Deep Learning for Global Ionospheric TEC Forecasting: Different Approaches and Validation-Reference-Cited by-同舟云学术

Deep Learning for Global Ionospheric TEC Forecasting: Different Approaches and Validation

Published:2022-05 Issue:5 Volume:20 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Ren Xiaodong¹²^ORCID,Yang Pengxin¹^ORCID,Liu Hang¹,Chen Jun²³^ORCID,Liu Wanke¹^ORCID

Affiliation:

1. School of Geodesy and Geomatics Wuhan University Wuhan China

2. State Key Laboratory of Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and Technology CAS Wuhan China

3. Department of Surveying and Mapping Engineering Minjiang University Fuzhou China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021SW003011

Reference42 articles.

1. Ionospheric delay corrections for single-frequency GPS receivers over Europe using tomographic mapping

2. Two Anomalies in the Ionosphere

3. Ionospheric Measurements made at Halley Bay

4. The development of a highly‐successful worldwide empirical ionospheric model and its use in certain aspects of space communications and worldwide total electron content investigations;Bent R. B.;Effect of the Ionosphere on Space Systems and Communications,1975

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Global thermospheric mass density monitoring using LEO constellations: Simulation and analysis;Advances in Space Research;2024-10

2. Seismo-ionospheric precursory detection using hybrid Bayesian-LSTM network model with uncertainty-boundaries and anomaly-intensity;Advances in Space Research;2024-08

3. Forecasting ionospheric TEC using least squares support vector machine and moth-flame optimization methods in China;Advances in Space Research;2024-08

4. Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia;Advances in Space Research;2024-07