Density and Winds in the Thermosphere Deduced from Accelerometer Data

Sutton, E. K.; Nerem, R. S.; Forbes, Jeffrey M.

doi:10.2514/1.28641

Cited by 184 publications

(146 citation statements)

References 15 publications

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“…24,25 An important early paper on wind derivation from accelerometer data is that by Marcos and Forbes 26 who analyzed triaxial accelerometer measurements from the SETA instrument flown on several spacecraft in the early 1980s. Recent publications on the derivation of winds from CHAMP data are provided by Liu 20 and Sutton 19 and their respective coauthors.…”

Section: 18mentioning

confidence: 99%

See 1 more Smart Citation

Neutral Density and Crosswind Determination from Arbitrarily Oriented Multiaxis Accelerometers on Satellites

Doornbos¹,

IJssel²,

Lühr³

et al. 2010

Journal of Spacecraft and Rockets

163

198

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Originally published as:Doornbos, E., van den Ijssel, J., Lühr, H., Förster, M., Koppenwallner, G. (2010): Neutral density and crosswind determination from arbitrarily oriented multi-axis accelerometers on satellites. adjacent days where the satellite was in its nominal attitude mode. These investigations result in recommendations for the design of future satellite accelerometer missions for thermosphere research.

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Section: 18mentioning

confidence: 99%

“…Similar computational techniques can be used, including an evaluation of analytical expressions of the forces acting on a panelized rep-resentation of the satellite outer surfaces, 17,19,37 or applying a Monte Carlo Test Particle computation.…”

Section: Iic Modeled Aerodynamic Accelerationmentioning

confidence: 99%

Neutral Density and Crosswind Determination from Arbitrarily Oriented Multiaxis Accelerometers on Satellites

Doornbos¹,

IJssel²,

Lühr³

et al. 2010

Journal of Spacecraft and Rockets

163

198

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“…[8] Attempts to quantify the complexity in the CHAMP crosswind error budget have been made by Liu et al [2006], Sutton et al [2007], and Doornbos et al [2010], with each of these subsequent publications taking more details into account, which in general leads to larger error estimates. We will consider here an error estimate from Doornbos et al [2010], which was generated by propagating a 10 nm s -2 acceleration offset over all data in the year 2004.…”

Section: Data and Analysismentioning

confidence: 99%

Thermospheric zonal mean winds and tides revealed by CHAMP

Lieberman

Akmaev²,

Fuller‐Rowell

et al. 2013

Geophysical Research Letters

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[1] We present direct, global observations of longitudinally averaged CHAMP zonal winds gathered between 2003 and 2007. A diurnal variation dominates the global zonal wind. Westward flows are observed from the early morning through afternoon hours, while eastward flows peak in the evening. A semidiurnal harmonic is also present, with magnitudes that are approximately one third of the diurnal harmonic. The time mean wind indicates westward winds over much of the globe, with weak superrotation (+E, or eastward winds) that is symmetric about the equator during equinox, and confined to the winter hemisphere at solstice. Diurnal and time mean CHAMP winds agree fairly well with the Whole Atmosphere Model. Some differences are observed in the semidiurnal and higher-order tidal winds, that underscore the challenges of modeling the sources, sinks, and mean wind effects upon tides between the surface and 400 km. Citation: Lieberman, R. S., R. A. Akmaev, T. J.Fuller-Rowell, and E. Doornbos (2013), Thermospheric zonal mean winds and tides revealed by CHAMP, Geophys. Res. Lett.,

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“…Converting the accelerometerderived drag measurements into density values is a difficult task, and there exist several different versions of the converted data at different institutions. The data used in this study are from a database maintained at the University of Colorado [Sutton et al, 2007] that is easily accessible over the Internet. Version 2.2 of the density calibrations is used.…”

Section: Thermosphere Density/temperature Measurementsmentioning

confidence: 99%

Predicting global average thermospheric temperature changes resulting from auroral heating

et al. 2011

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[1] The total Poynting flux flowing into both polar hemispheres as a function of time, computed with an empirical model, is compared with measurements of neutral densities in the thermosphere at two altitudes obtained from accelerometers on the CHAMP and GRACE satellites. The Jacchia-Bowman 2008 empirical thermospheric density model (JB2008) is used to facilitate the comparison. This model calculates a background level for the "global nighttime minimum exospheric temperature," T c , from solar indices. Corrections to this background level due to auroral heating, DT c , are presently computed from the Dst index. A proxy measurement of this temperature difference, DT c , is obtained by matching the CHAMP and GRACE density measurements with the JB2008 model. Through the use of a differential equation, the DT c correction can be predicted from IMF values. The resulting calculations correlate very well with the orbit-averaged measurements of DT c , and correlate better than the values derived from Dst. Results indicate that the thermosphere cools faster following time periods with greater ionospheric heating. The enhanced cooling is likely due to nitric oxide (NO) that is produced at a higher rate in proportion to the ionospheric heating, and this effect is simulated in the differential equations. As the DT c temperature correction from this model can be used as a direct substitute for the Dst-derived correction that is now used in JB200, it could be possible to predict DT c with greater accuracy and lead time.

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Density and Winds in the Thermosphere Deduced from Accelerometer Data

Cited by 184 publications

References 15 publications

Neutral Density and Crosswind Determination from Arbitrarily Oriented Multiaxis Accelerometers on Satellites

Neutral Density and Crosswind Determination from Arbitrarily Oriented Multiaxis Accelerometers on Satellites

Thermospheric zonal mean winds and tides revealed by CHAMP

Predicting global average thermospheric temperature changes resulting from auroral heating

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