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STUDYING THE VARIABILITY OF THE IONOSPHERE USING SUPERSID MONITOR AND SWARM SATELLITE DATA

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dc.contributor.author Meseret, Lingerew
dc.date.accessioned 2019-09-23T04:40:14Z
dc.date.available 2019-09-23T04:40:14Z
dc.date.issued 2019-09-23
dc.identifier.uri http://hdl.handle.net/123456789/9729
dc.description.abstract Variability of the Earth’s ionosphere is a threat for applications that depend on trans-ionospheric propagating radio waves. Characterisation of its variability is the first step to make correction. In this thesis, a sudden ionospheric disturbance (SuperSID) monitor has been deployed at Bahir Dar, Ethiopia and the variability of the ionosphere due to solar events is investigated using the SuperSID monitor and the recently launched Swarm satellite data. The VLF signal strength data collected by SuperSID and in situ ion density observed by Swarm have been analysed. Plots of VLF signal strength data showed the daytime and night-time variations of the radio signal strength that are results of the variability of the ionosphere in these time intervals. The signal strength variations are captured as sunset and sunrise signatures with sharp rise and sharp drop of the signal strength respectively. Our analysis of the Swarm satellite data also depicted that from 7.35-9.61 UT of 22 June, 2015, the dayside ionosphere showed suppressed EIA while the nightside is strengthened indicating the first CME of the day had resulted a disturbance dynamo. However, from 13.55-22.14 UT the PPEF was the dominant driver of the variability. Hemispheric asymmetry of geomagnetic effect was also observed during this event. Moreover, the EIA in the Pacific sector was the strongest of all during the June 22, 2015 geomagnetic storm while the African sector had the highly sup- pressed EIA in the daytime. Comparison of the daytime and nighttime recovery showed the nighttime ionosphere has recovered sooner than the daytime. en_US
dc.language.iso en_US en_US
dc.subject Physics en_US
dc.title STUDYING THE VARIABILITY OF THE IONOSPHERE USING SUPERSID MONITOR AND SWARM SATELLITE DATA en_US
dc.type Thesis en_US


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