Modeling the low-latitude thermosphere and ionosphere

dc.contributor.authorFesen, C. G.
dc.contributor.authorHysell, D. L.
dc.contributor.authorMeriwether, J. M.
dc.contributor.authorMendillo, M.
dc.contributor.authorFejer, B. G.
dc.contributor.authorRoble, R. G.
dc.contributor.authorReinisch, B. W.
dc.contributor.authorBiondi, M. A.
dc.date.accessioned2018-07-13T12:44:18Z
dc.date.available2018-07-13T12:44:18Z
dc.date.issued2002-08
dc.description.abstractThe National Center for Atmospheric Research thermosphere/ionosphere/electrodynamic general circulation model (TIEGCM) is one of the few models that self-consistently solves the coupled equations for the neutral atmosphere and ionosphere. Timely questions are how well the TIEGCM currently simulates the low-latitude ionosphere and what modifications might bring about better predictions. Comparisons between data obtained in and around Jicamarca, Peru, near the magnetic equator, and simulations with the TIEGCM indicate good progress has been made but reveal some serious discrepancies. Good-to-excellent agreement is obtained for electron densities, electron and ion temperatures, and nmax. The agreement is fair to poor for hmax, zonal drifts, the oxygen nightglow, and the horizontal neutral winds. The most important discrepancy is in the simulated neutral temperature, which is at least too cold relative to Fabry–Perot interferometer observations. Increasing the EUV fluxes in the model to improve prediction of the model temperature also improves representation of airglow observations and of the ionosphere, for which the model typically underrepresents the electron densities. The disparity in neutral temperature is also present in comparisons with the empirical model MSIS which represents the largest database of thermospheric temperature measurements. Since the neutral and ionized atmospheres are tightly coupled at low latitudes, simultaneous measurements of neutral and ion parameters, preferably over an extended time period, would be invaluable to further the understanding of the region. Better knowledge of the EUV fluxes and the high altitude O+ fluxes may also help resolve some of the model/data discrepancies.
dc.description.peer-reviewPor pares
dc.formatapplication/pdf
dc.identifier.citationFesen, C. G., Hysell, D. L., Meriwether, J. M., Mendillo, M., Fejer, B. G., Roble, R. G., ... Biondi, M. A. (2002). Modeling the low-latitude thermosphere and ionosphere.==$Journal of Atmospheric and Solar-Terrestrial Physics, 64$==(12-14), 1337-1349. https://doi.org/10.1016/S1364-6826(02)00098-6
dc.identifier.doihttps://doi.org/10.1016/S1364-6826(02)00098-6
dc.identifier.journalJournal of Atmospheric and Solar-Terrestrial Physics
dc.identifier.urihttp://hdl.handle.net/20.500.12816/1805
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofurn:issn:1364-6826
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectModeling
dc.subjectThermosphere dynamics
dc.subjectIonosphere dynamics
dc.subjectLow latitudes
dc.subjectElectron densities
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.05.01
dc.titleModeling the low-latitude thermosphere and ionosphere
dc.typeinfo:eu-repo/semantics/article

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