Atmospheric densities derived from CHAMP/STAR accelerometer observations

By Sean Bruinsma, D. Tamagnan, Richard Biancale. 2004

269 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Molecular Biology, Oceanography

View Paper: https://www.semanticscholar.org/paper/c70573013ea7fbc2c723b70658e8b8aa816845e3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. Eelco Doornbos
2. Sean Bruinsma
3. Jeff Forbes
4. Xiaoli Zhang
5. Hermann Lühr
6. R. S. Nerem
7. W. J. Burke
8. J. Emmert

In Molecular Biology

1. Eelco Doornbos
2. Jeff Forbes
3. Hermann Lühr
4. Xiaoli Zhang
5. Sean Bruinsma
6. R. S. Nerem
7. R. Akmaev

In Oceanography

1. Eelco Doornbos
2. Xiaoli Zhang
3. Jeff Forbes
4. Hermann Lühr
5. R. S. Nerem
6. Sean Bruinsma
7. J. Emmert
8. H. Liu

Citations in the corpus

• Thermospheric Density and Wind Determination from Satellite Dynamics (2012, methodology): “Unlike Jacchia’s models, however, the density in the DTM and MSIS models is not derived from a direct integration with altitude over the temperature profile.”
• Gas-surface interactions and satellite drag coefficients (2005, background): “It is now generally recognized that realistic in-orbit conditions cannot be obtained in the laboratory, and that the consequent uncertainty in the drag coefficient can cause important systematic errors in the measurement of densities by accelerometers (Bruinsma et al., 2004), as well as in the measu”
• The DTM-2013 thermosphere model (2015, background): “Such detailed evaluations can be performed only relatively recently thanks to the high-resolution total density data inferred from CHAMP (Bruinsma et al. 2004), GRACE (Bruinsma & Forbes 2010), and GOCE (Bruinsma et al. 2014) accelerometer measurements, which have covered more than a solar cycle now.”
• Global distribution of the thermospheric total mass density derived from CHAMP (2004, background): “Calculation of an appropriate Cd for CHAMP appears to be attempted by Bruinsma et al. [2004] .”
• A New Empirical Thermospheric Density Model JB2008 Using New Solar and Geomagnetic Indices (2008, background): “Surprisingly Equation (12) was found to be the best representation for all the other storms representing all magnitudes.”
• Thermosphere density response to the 20-21 November 2003 solar and geomagnetic storm from CHAMP and GRACE accelerometer data (2006, methodology): “In case of STAR, we have a long time series of biases and scale factors, and these are well determined with an uncertainty of 1% for the in-track axis [Bruinsma et al., 2003; Bruinsma et al., 2004 ].”