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Zhou, Wencheng; Zheng, Dunyong; He, Changyong; Ye, Fei; Yao, Yibin; Chen, Chunhua (2026) Analysis of ionospheric anomalies during the April 8, 2024 total solar eclipse using physics-based ionospheric models and an ionospheric tomography technique based on adaptive estimation of the plasmaspheric electron content. Advances in Space Research, 77 (7). doi:10.1016/j.asr.2026.02.016

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Reference TypeJournal (article/letter/editorial)
TitleAnalysis of ionospheric anomalies during the April 8, 2024 total solar eclipse using physics-based ionospheric models and an ionospheric tomography technique based on adaptive estimation of the plasmaspheric electron content
JournalAdvances in Space Research
AuthorsZhou, WenchengAuthor
Zheng, DunyongAuthor
He, ChangyongAuthor
Ye, FeiAuthor
Yao, YibinAuthor
Chen, ChunhuaAuthor
Year2026 (April)Volume77
Issue7
PublisherElsevier BV
DOIdoi:10.1016/j.asr.2026.02.016Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID19776494Long-form Identifiermindat:1:5:19776494:9
GUID0
Full ReferenceZhou, Wencheng; Zheng, Dunyong; He, Changyong; Ye, Fei; Yao, Yibin; Chen, Chunhua (2026) Analysis of ionospheric anomalies during the April 8, 2024 total solar eclipse using physics-based ionospheric models and an ionospheric tomography technique based on adaptive estimation of the plasmaspheric electron content. Advances in Space Research, 77 (7). doi:10.1016/j.asr.2026.02.016
Plain TextZhou, Wencheng; Zheng, Dunyong; He, Changyong; Ye, Fei; Yao, Yibin; Chen, Chunhua (2026) Analysis of ionospheric anomalies during the April 8, 2024 total solar eclipse using physics-based ionospheric models and an ionospheric tomography technique based on adaptive estimation of the plasmaspheric electron content. Advances in Space Research, 77 (7). doi:10.1016/j.asr.2026.02.016
In(2026, April) Advances in Space Research Vol. 77 (7). Elsevier BV

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Aa (2024) J. Geophys. Res. Space Phys. Multi‐instrument and SAMI3‐TIDAS data assimilation analysis of three‐dimensional ionospheric electron density variations during the April 2024 total solar eclipse 129
Not Yet Imported: Journal of Geophysical Research: Space Physics - journal-article : 10.1029/2022JA030706

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Not Yet Imported: - journal-article : 10.1038/s41467-020-15506-3

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Not Yet Imported: Journal of Geophysical Research: Space Physics - journal-article : 10.1029/2020JA028483

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Not Yet Imported: - monograph : 10.1017/CBO9780511600098

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Li (2024) IEEE Trans. Geosci. Rem. Sens. Modeling China’s Sichuan-Yunnan’s ionosphere based on multi-channel WOA-CNN-LSTM algorithm 62, 1
Li (2025) GPS Solut. Storm-time ionospheric model over Yunnan-Sichuan area of China based on the SSA-ConvLSTM-BiLSTM algorithm 29, 77
Lü (2023) Rev. Geophys. Plan. Phys. State studies of Earth's plasmasphere 54, 417
Not Yet Imported: - journal-article : 10.1007/s10291-018-0753-7

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Not Yet Imported: Modeling the Ionosphere–Thermosphere System - other : 10.1002/9781118704417.ch7

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Not Yet Imported: - journal-article : 10.1016/j.jastp.2006.01.008

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Not Yet Imported: - journal-article : 10.1051/swsc/2017017

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Not Yet Imported: - journal-article : 10.1029/2018JA025479

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Wen (2021) IEEE Trans. Geosci. Rem. Sens. Three-step tomographic algorithm for ionospheric electron density reconstruction 60, 1
Yuan (2024) IEEE Trans. Geosci. Rem. Sens. An improved ionospheric tomography method based on adaptive estimation of the plasmaspheric electron content 62, 5525720
Not Yet Imported: - journal-article : 10.1016/j.jastp.2008.03.008

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Not Yet Imported: - journal-article : 10.1029/2018RS006588

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