Mathematics – Logic
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusmsa22a..01n&link_type=abstract
American Geophysical Union, Spring Meeting 2002, abstract #SA22A-01
Mathematics
Logic
0310 Airglow And Aurora, 0355 Thermosphere: Composition And Chemistry
Scientific paper
The current atmospheric density models used to estimate the drag on Low Earth Orbit (LEO) satellites have average errors that range from 10% to 15%. During the orbit determination process this error is absorbed into the ballistic coefficient resulting in a highly variable parameter that should be a constant value. Several correction techniques to obtain the density of the atmosphere and improve orbit determination are in various stages of research and development. This study will examine and compare the results of two of these techniques, satellite drag derived densities and Ultraviolet airglow derived densities. The Special Sensor Ultraviolet Limb Imager (SSULI) is a limb scanning spectrograph developed by the Naval Research Laboratory (NRL) for the Air Force Defense Meteorological Satellite Program (DMSP). Currently a prototype of the SSULI sensor, the Low-Resolution Airglow and Auroral Spectrograph (LORAAS) on the Advanced Research and Global Observation Satellite (ARGOS), has been acquiring data since May 1999. The LORAAS and SSULI sensors measure vertical profiles of the Earth?s natural airglow radiation in the extreme ultraviolet (EUV) and far ultraviolet (FUV) regions of the spectrum. A chi-squared minimization technique known as Discrete Inverse Theory (DIT) is used to retrieve neutral density profiles from the spectral data. The NRLMSISE-00 atmospheric model is used as the forward model for the DIT process. The output consists of an effective F10.7 cm solar flux, an effective 81day average F10.7 cm solar flux, neutral density scalars for the three major neutral constituents O, O2 and N2. The satellite drag densities were derived from Space Surveillance Network (SSN) data using the special perturbations software suite (Special-K) developed at the Naval Research Laboratory. For this study, the Starshine 1 satellite was selected due to its stable ballistic coefficient. The ballistic coefficient was fixed at the average value for the month of December 1999 computed using the Special-K software. The density profiles retrieved from the LORAAS data are compared to densities derived from satellite drag data obtained during the Dec. 10-19, 1999 time period. Results provide a preliminary validation of the UV spectral inversion technique for thermospheric density determination
Budzien Scott A.
Dymond Ken F.
Knowles Stephen H.
McCoy Robert P.
Nicholas Andrew C.
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