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Density and Winds Inferred from GOCE Accelerometer ( thrusters ) Data Sean Bruinsma PowerPoint Presentation
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Density and Winds Inferred from GOCE Accelerometer ( thrusters ) Data Sean Bruinsma

Density and Winds Inferred from GOCE Accelerometer ( thrusters ) Data Sean Bruinsma

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Density and Winds Inferred from GOCE Accelerometer ( thrusters ) Data Sean Bruinsma

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  1. Density and Winds Inferred from GOCE Accelerometer (thrusters) Data Sean Bruinsma CNES, Toulouse EelcoDoornbos Delft University of Technology

  2. Project information ESA contract No. 4000102847/11/NL/EL with TU Delft Consortium: TU Delft - Management and production CNES - Product evaluation HTG - Non-gravitational force modeling http://thermosphere.tudelft.nl/goceplustheme3/ (nb: register first)

  3. GOCE: ESA’s first Earth Explorer Launch: 17 march2009 (Plesetsk) Mission objectives: Determinegeoidwith an accuracy of 2 cm and gravityanomalies with an accuracy of 1-2 mGal (1-2 10-5 m/s2) at a resolution of 100 km (degree 200) Mission orbit: Sun-synchronous (i=96.5°), dawn/dusk, 255 km altitude Payload: Gradiometer(accelerometers), GPS receiver, laser retroreflector Drag control: Ion thrusterscommanded in closed-loop

  4. GOCE: ESA’s first Earth Explorer

  5. GOCE mission in perspective

  6. GOCE mission in perspective

  7. GOCE mission in perspective

  8. GOCE: drag and solar radiation

  9. GOCE: drag and solar radiation

  10. GOCE natural decay & drag-free Natural decay (about 3 months, not shown) followed by drag-free flight starting 13 September 2009 at the mission altitude of 254.9 km (NB: the figure shows mean spherical altitude) Density inferred from accelerometer data Density inferred from thrusters+accelerometer data

  11. GOCE thrusters data

  12. GOCE thrusters data Thrust < 3mN: noise (red line=3-point average Thruster data sampling: 8 s

  13. Preliminary GOCE densities

  14. Preliminary GOCE densities

  15. Preliminary GOCE densities

  16. GOCE densities • To do: • Implement satellite model • Combine thrusters and accelerometer data • Compute densities and winds • Validate products • Poster in session SA10 at the AGU Fall Meeting