Reducing the Ionospheric Contamination Effects on the Column O/N-2 Ratio and Its Application to the Identification of Non-Migrating Tides

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dc.contributor.authorKrier, Christopher S.en
dc.contributor.authorEngland, Scott L.en
dc.contributor.authorMeier, R. R.en
dc.contributor.authorFrey, Harald U.en
dc.date.accessioned2023-09-19T14:51:41Zen
dc.date.available2023-09-19T14:51:41Zen
dc.date.issued2023-04en
dc.description.abstractPrior investigations have attempted to characterize the longitudinal variability of the column number density ratio of atomic oxygen to molecular nitrogen (SO/N-2) in the context of non-migrating tides. The retrieval of thermospheric SO/N-2 from far ultra-violet (FUV) emissions assumes production is due to photoelectron impact excitation on O and N-2. Consequently, efforts to characterize the tidal variability in SO/N-2 have been limited by ionospheric contamination from O+ + e radiative recombination at afternoon local times (LT) around the equatorial ionization anomaly. The retrieval of SO/N-2 from FUV observations by the Ionospheric Connection Explorer (ICON) provides an opportunity to address this limitation. In this work, we derive modified SO/N-2 datasets to delineate the response of thermospheric composition to non-migrating tides as a function of LT in the absence of ionospheric contamination. We assess estimates of the ionospheric contribution to 135.6 nm emission intensities based on either Global Ionospheric Specification (GIS) electron density, International Reference Ionosphere (IRI) model output, or observations from the Extreme Ultra-Violet imager (EUV) onboard ICON during March and September equinox conditions in 2020. Our approach accounts for any biases between the ionospheric and airglow datasets. We found that the ICON-FUV data set, corrected for ionospheric contamination based on GIS, uncovered a previously obscured diurnal eastward wavenumber 2 tide in a longitudinal wavenumber 3 pattern at March equinox in 2020. This finding demonstrates not only the necessity of correcting for ionospheric contamination of the FUV signals but also the utility of using GIS for the correction.en
dc.description.notesICON is supported by NASA's Explorers Program through contracts NNG12FA45C and NNG12FA42I. This work was supported by NASA contract 80GSFC18C0061 and NSF award 2149697. RRM received partial support from the Civil Service Retirement System.en
dc.description.sponsorshipNASA's Explorers Program [NNG12FA45C, NNG12FA42I]; NASA [80GSFC18C0061]; NSF [2149697]; Civil Service Retirement System; Div Atmospheric & Geospace Sciences; Directorate For Geosciences [2149697] Funding Source: National Science Foundationen
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1029/2022JA031148en
dc.identifier.eissn2169-9402en
dc.identifier.issn2169-9380en
dc.identifier.issue4en
dc.identifier.othere2022JA031148en
dc.identifier.urihttp://hdl.handle.net/10919/116296en
dc.identifier.volume128en
dc.language.isoenen
dc.publisherAmerican Geophysical Unionen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjecttidesen
dc.subjectthermosphereen
dc.subjectcompositionen
dc.titleReducing the Ionospheric Contamination Effects on the Column O/N-2 Ratio and Its Application to the Identification of Non-Migrating Tidesen
dc.title.serialJournal of Geophysical Research-Space Physicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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