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Estimating Electron Density of the Ionosphere from Radio Occultation TEC Data using Abel Inversion

Language EnglishEnglish
Book Paperback
Book Estimating Electron Density of the Ionosphere from Radio Occultation TEC Data using Abel Inversion Bizuayehu Adisie Beyene
Libristo code: 14121918
Publishers Grin Publishing, August 2016
Scientific Study from the year 2016 in the subject Physics - Nuclear Physics, Molecular Physics, Sol... Full description
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Scientific Study from the year 2016 in the subject Physics - Nuclear Physics, Molecular Physics, Solid State Physics, grade: excellent, , language: English, abstract: Abstract Ionospheric electron density affects trans-ionospheric radio waves. Estimating electron density, therefore, is vital to mitigate the effect of ionosphere on radio waves. As a result, different methods have been applied to estimate ionospheric electron density from integrated measurements of ground-based GPS (Global Positioning System) receivers recently installed in East-Africa. To augment such efforts, ionospheric electron density has been estimated from Radio Occultation (RO) total electron content data measured by LEO (Low Earth Orbit) satellites. Abel inversion onion peeling algorithm then is used to retrieve electron density profiles from the calibrated data. The reconstructed electron density profiles have been validated by running the standard ionospheric empirical model (International Reference Ionosphere, IRI-2007) at time and locations that RO electron density profiles are obtained. The results show well agreement between the Abel inversion and IRI-2007 electron density profiles, for both bottom and topside ionosphere. Also, F2 peak density heights from Abel inversion and IRI-2007 have shown well agreement. However, significant discrepancy has been detected around the height of the F2 peak density.

About the book

Full name Estimating Electron Density of the Ionosphere from Radio Occultation TEC Data using Abel Inversion
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 24
EAN 9783656988076
ISBN 3656988072
Libristo code 14121918
Publishers Grin Publishing
Weight 45
Dimensions 148 x 210 x 2
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