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An operational machine learning framework for calibrating COSMIC radio occultation TEC to ground-based GNSS-derived TEC
An operational machine learning framework for calibrating COSMIC radio occultation TEC to ground-based GNSS-derived TEC
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Date
2026-1-21
Authors
Daniel Okoh
John Bosco Habarulema
B. Nava
Claudio Cesaroni
Paul Baki
Yenca Migoya-Orué
Babatunde Rabiu
George Ochieng
Adero Ochieng Awuor
Punyawi Jamjareegulgarn
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Journal Title
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Volume Title
Publisher
Advances in Space Research
Abstract
Description
Keywords
Ionosphere and magnetosphere dynamics
,
Earthquake Detection and Analysis
,
GNSS positioning and interference
Citation
URI
https://dspace.kmitl.ac.th/handle/123456789/15914
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