Daytime O/N2 Retrieval Algorithm for the Ionospheric Connection Explorer (ICON)
The NASA Ionospheric Connection Explorer Far-Ultraviolet spectrometer, ICON FUV, will measure altitude profiles of the daytime far-ultraviolet (FUV) OI 135.6 nm and N 2 Lyman-Birge-Hopfield (LBH) band emissions that are used to determine thermospheric density profiles and state parameters related to...
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          | Published in | Space science reviews Vol. 214; no. 1; pp. 1 - 17 | 
|---|---|
| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Dordrecht
          Springer Netherlands
    
        01.02.2018
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0038-6308 1572-9672 1572-9672  | 
| DOI | 10.1007/s11214-018-0477-6 | 
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| Summary: | The NASA Ionospheric Connection Explorer Far-Ultraviolet spectrometer, ICON FUV, will measure altitude profiles of the daytime far-ultraviolet (FUV) OI 135.6 nm and N
2
Lyman-Birge-Hopfield (LBH) band emissions that are used to determine thermospheric density profiles and state parameters related to thermospheric composition; specifically the thermospheric column O/N
2
ratio (symbolized as
Σ
O/N
2
). This paper describes the algorithm concept that has been adapted and updated from one previously applied with success to limb data from the Global Ultraviolet Imager (GUVI) on the NASA Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) mission. We also describe the requirements that are imposed on the ICON FUV to measure
Σ
O/N
2
over any 500-km sample in daytime with a precision of better than 8.7%. We present results from orbit-simulation testing that demonstrates that the ICON FUV and our thermospheric composition retrieval algorithm can meet these requirements and provide the measurements necessary to address ICON science objectives. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Literature Review-3 content type line 23  | 
| ISSN: | 0038-6308 1572-9672 1572-9672  | 
| DOI: | 10.1007/s11214-018-0477-6 |