A global 3-D electron density reconstruction model based on radio occultation data and neural networks-Reference-Cited by-同舟云学术

A global 3-D electron density reconstruction model based on radio occultation data and neural networks

Published:2021-09 Issue: Volume:221 Page:105702
ISSN:1364-6826
Container-title:Journal of Atmospheric and Solar-Terrestrial Physics
language:en
Short-container-title:Journal of Atmospheric and Solar-Terrestrial Physics

Author:

Habarulema John Bosco^ORCID,Okoh Daniel,Burešová Dalia,Rabiu Babatunde^ORCID,Tshisaphungo Mpho,Kosch Michael,Häggström Ingemar,Erickson Philip J.,Milla Marco A.

Funder

National Research Foundation of Korea

National Research Foundation

Publisher

Elsevier BV

Subject

Space and Planetary Science,Atmospheric Science,Geophysics

Reference49 articles.

1. Regional 3-d ionospheric electron density specification on the basis of data assimilation of ground-based GNSS and radio occultation data;Aa;Space Weather,2016

2. Incoherent scatter plasma lines: Observations and applications;Akbari;Space Sci. Rev.,2017

3. Whole atmosphere modeling: Connecting terrestrial and space weather;Akmaev;Rev. Geophys.,2011

4. STORM: An empirical storm-time ionospheric correction model 2. validation;Araujo-Pradere;Rad. Sci.,2002

5. International reference ionosphere 2000;Bilitza;Radio Sci.,2001

Cited by 13 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. Neural Network Models for Ionospheric Electron Density Prediction at a Fixed Altitude Using Neural Architecture Search;Space Weather;2024-08

2. Investigation of the global climatologic performance of ionospheric models utilizing in-situ Swarm satellite electron density measurements;Advances in Space Research;2024-08

3. A storm-time global electron density reconstruction model in three-dimensions based on artificial neural networks;Advances in Space Research;2024-02

4. Improving the Computerized Ionospheric Tomography Performance Through a Neural Network-Based Initial IED Prediction Model;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Ionospheric Electron Density Model by Electron Density Grid Deep Neural Network (EDG-DNN);Atmosphere;2023-04-29