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In Flight Performance of the Far Ultraviolet Instrument (FUV) on ICON.
Frey, H U; Mende, S B; Meier, R R; Kamaci, U; Urco, J M; Kamalabadi, F; England, S L; Immel, T J.
Afiliação
  • Frey HU; Space Sciences Laboratory, University of California, Berkeley, CA USA.
  • Mende SB; Space Sciences Laboratory, University of California, Berkeley, CA USA.
  • Meier RR; Department of Physics and Astronomy, George Mason University, Fairfax, VA USA.
  • Kamaci U; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL USA.
  • Urco JM; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL USA.
  • Kamalabadi F; Present Address: Leibniz-Institute for Atmospheric Physics, Kühlungsborn, Germany.
  • England SL; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL USA.
  • Immel TJ; Department of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA USA.
Space Sci Rev ; 219(3): 23, 2023.
Article em En | MEDLINE | ID: mdl-37007704
ABSTRACT
The NASA Ionospheric Connection Explorer (ICON) was launched in October 2019 and has been observing the upper atmosphere and ionosphere to understand the sources of their strong variability, to understand the energy and momentum transfer, and to determine how the solar wind and magnetospheric effects modify the internally-driven atmosphere-space system. The Far Ultraviolet Instrument (FUV) supports these goals by observing the ultraviolet airglow in day and night, determining the atmospheric and ionospheric composition and density distribution. Based on the combination of ground calibration and flight data, this paper describes how major instrument parameters have been verified or refined since launch, how science data are collected, and how the instrument has performed over the first 3 years of the science mission. It also provides a brief summary of science results obtained so far.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article