Ionospheric plasma density is of interest for communications and satellite operations. During the daytime, O⁺ ion density can be retrieved using observations of the OII 834 Å extreme-ultraviolet airglow emission. This dissertation seeks to improve and validate an OII 834 Å O⁺ density retrieval algorithm which uses a Markovchain solution to the radiative transport equation. The retrieval algorithm is applied to airglow data from the Limb-imaging Ionospheric and Thermospheric Extreme-Ultraviolet Spectrograph (LITES), an instrument built by University of Massachusetts Lowell (UMass Lowell) and U.S. Naval Research Laboratory (NRL) which flies aboard the International Space Station (ISS). The ionospheric density parameters hmF2 and NmF2 are retrieved from LITES OII 834 Å data and compared to ground-based sounding measurements of hmF2 and NmF2 from the Global Ionosphere Radio Observatory (GIRO) digisonde network. Processing and calibration of LITES data are discussed in detail and LITES observations of OII 834 Å and other airglow features are
|Commitee:||Cook, Timothy, Sajo, Erno, Finn, Susanna C., Stephan, Andrew|
|School:||University of Massachusetts Lowell|
|School Location:||United States -- Massachusetts|
|Source:||DAI-B 81/12(E), Dissertation Abstracts International|
|Subjects:||Physics, Applied physics|
|Keywords:||Ionospheric plasma density , Extreme-ultraviolet airglow emission|
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