A blending technique in thermospheric density modeling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Uncertainty in the atmospheric density is a crucial error source for the propagation of satellites in low earth orbit (LEO). As a result, establishing accurate thermospheric neutral density models are important to predict the motion of these satellites. Unfortunately, since density data in the altitude range between 140 km and 200 km are sparse, predicting the neutral density to estimate atmospheric drag effects on the motion of satellites operating in this altitude region may cause relatively large errors. Previous study found that the Jacchia-Bowman model (JB2006) is the most reliable thermospheric empirical neutral density model above 200 km and the Naval Research Laboratory's Mass Spectrometer Incoherent Scatter (NRLMSISE-00) model, whose core formulation is based on incoherent scatter radar data, and can be considered a more reliable neutral density model below approximately 140 km. We have developed a bridging technique to blend the two models between these two regions. A simple two-body model with atmospheric drag was used to compare effects of various atmospheric density models. These tests are conducted by propagating the positions of satellites orbiting between 140 and 200 km, with various ballistic coefficients, using the JB2006, the NRLMSISE-00, and the bridging technique we have developed.

Original languageEnglish (US)
Title of host publicationAIAA/AAS Astrodynamics Specialist Conference and Exhibit
StatePublished - Dec 1 2008
EventAIAA/AAS Astrodynamics Specialist Conference and Exhibit - Honolulu, HI, United States
Duration: Aug 18 2008Aug 21 2008

Other

OtherAIAA/AAS Astrodynamics Specialist Conference and Exhibit
CountryUnited States
CityHonolulu, HI
Period8/18/088/21/08

Fingerprint

atmospheric density
drag
incoherent scatter radar
radar data
low Earth orbits
ballistics
mass spectrometers
formulations
propagation
causes
coefficients
estimates

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics

Cite this

Kim, J. S., Spencer, D. B., Kane, T. J., & Urbina, J. (2008). A blending technique in thermospheric density modeling. In AIAA/AAS Astrodynamics Specialist Conference and Exhibit [2008-6441]
Kim, Jung Soo ; Spencer, David Bradley ; Kane, Timothy Joseph ; Urbina, Julio. / A blending technique in thermospheric density modeling. AIAA/AAS Astrodynamics Specialist Conference and Exhibit. 2008.
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Kim, JS, Spencer, DB, Kane, TJ & Urbina, J 2008, A blending technique in thermospheric density modeling. in AIAA/AAS Astrodynamics Specialist Conference and Exhibit., 2008-6441, AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Honolulu, HI, United States, 8/18/08.

A blending technique in thermospheric density modeling. / Kim, Jung Soo; Spencer, David Bradley; Kane, Timothy Joseph; Urbina, Julio.

AIAA/AAS Astrodynamics Specialist Conference and Exhibit. 2008. 2008-6441.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Uncertainty in the atmospheric density is a crucial error source for the propagation of satellites in low earth orbit (LEO). As a result, establishing accurate thermospheric neutral density models are important to predict the motion of these satellites. Unfortunately, since density data in the altitude range between 140 km and 200 km are sparse, predicting the neutral density to estimate atmospheric drag effects on the motion of satellites operating in this altitude region may cause relatively large errors. Previous study found that the Jacchia-Bowman model (JB2006) is the most reliable thermospheric empirical neutral density model above 200 km and the Naval Research Laboratory's Mass Spectrometer Incoherent Scatter (NRLMSISE-00) model, whose core formulation is based on incoherent scatter radar data, and can be considered a more reliable neutral density model below approximately 140 km. We have developed a bridging technique to blend the two models between these two regions. A simple two-body model with atmospheric drag was used to compare effects of various atmospheric density models. These tests are conducted by propagating the positions of satellites orbiting between 140 and 200 km, with various ballistic coefficients, using the JB2006, the NRLMSISE-00, and the bridging technique we have developed.

AB - Uncertainty in the atmospheric density is a crucial error source for the propagation of satellites in low earth orbit (LEO). As a result, establishing accurate thermospheric neutral density models are important to predict the motion of these satellites. Unfortunately, since density data in the altitude range between 140 km and 200 km are sparse, predicting the neutral density to estimate atmospheric drag effects on the motion of satellites operating in this altitude region may cause relatively large errors. Previous study found that the Jacchia-Bowman model (JB2006) is the most reliable thermospheric empirical neutral density model above 200 km and the Naval Research Laboratory's Mass Spectrometer Incoherent Scatter (NRLMSISE-00) model, whose core formulation is based on incoherent scatter radar data, and can be considered a more reliable neutral density model below approximately 140 km. We have developed a bridging technique to blend the two models between these two regions. A simple two-body model with atmospheric drag was used to compare effects of various atmospheric density models. These tests are conducted by propagating the positions of satellites orbiting between 140 and 200 km, with various ballistic coefficients, using the JB2006, the NRLMSISE-00, and the bridging technique we have developed.

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Kim JS, Spencer DB, Kane TJ, Urbina J. A blending technique in thermospheric density modeling. In AIAA/AAS Astrodynamics Specialist Conference and Exhibit. 2008. 2008-6441