A machine learning approach for estimating the drift velocities of equatorial plasma bubbles based on All-Sky Imager and GNSS observations-Reference-Cited by-同舟云学术

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A machine learning approach for estimating the drift velocities of equatorial plasma bubbles based on All-Sky Imager and GNSS observations

Published:2024-08 Issue: Volume: Page:
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Githio Lynne,Liu Huixin,Arafa Ayman A.,Mahrous Ayman

Publisher

Elsevier BV

Reference82 articles.

1. Significant ionospheric hole and equatorial plasma bubbles after the 2022 Tonga volcano Eruption. Sp.;Aa;Weather,2022

2. Equatorial ionosphere-thermosphere system: Electrodynamics and irregularities;Abdu;Adv. Sp. Res.,2005

3. Statistical characterization of equatorial plasma bubbles over East Africa;Abiriga;J. Atmos. Solar-Terrestrial Phys.,2020

4. Ground-based gnss and c/nofs observations of ionospheric irregularities over Africa: A case study of the 2013 st. patrick’s day geomagnetic storm. Sp;Amaechi;Weather,2021

5. A brief review of equatorial ionization anomaly and ionospheric irregularities;Balan;Earth Planet. Phys.,2018

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