Print Email Facebook Twitter Horizontal and vertical thermospheric cross-wind from GOCE linear and angular accelerations Title Horizontal and vertical thermospheric cross-wind from GOCE linear and angular accelerations Author Visser, T. (TU Delft Astrodynamics & Space Missions) March, G. (TU Delft Astrodynamics & Space Missions) Doornbos, E.N. (TU Delft Astrodynamics & Space Missions) de Visser, C.C. (TU Delft Control & Simulation) Visser, P (TU Delft Astrodynamics & Space Missions) Date 2019-05-15 Abstract Thermospheric wind measurements obtained from linear non-gravitational accelerations of the Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite show discrepancies when compared to ground-based measurements. In this paper the cross-wind is derived from both the linear and the angular accelerations using a newly developed iterative algorithm. The two resulting data sets are compared to test the validity of wind derived from angular accelerations and quantify the uncertainty in accelerometer-derived wind data. In general the difference is found to be less than 50 m/s vertically after high-pass filtering, and 100 m/s horizontally. A sensitivity analysis reveals that continuous thrusting is a major source of uncertainty in the torque-derived wind, as are the magnetic properties of the satellite. The energy accommodation coefficient is identified as a particularly promising parameter for improving the consistency of thermospheric cross-wind data sets in the future. The algorithm may be applied to obtain density and cross-wind from other satellite missions that lack accelerometer data, provided the attitude and orbit are known with sufficient accuracy. Subject Angular accelerationsGravity field and steady-state Ocean Circulation Explorer (GOCE)Thermospheric windVertical wind To reference this document use: http://resolver.tudelft.nl/uuid:5bfa9cf4-93e0-4b4e-81be-fb970a4271a1 DOI https://doi.org/10.1016/j.asr.2019.01.030 Embargo date 2021-02-01 ISSN 0273-1177 Source Advances in Space Research, 63 (10), 3139-3153 Part of collection Institutional Repository Document type journal article Rights © 2019 T. Visser, G. March, E.N. Doornbos, C.C. de Visser, P Visser Files PDF Visser2019_GOCEWindAlgorithm.pdf 7.95 MB Close viewer /islandora/object/uuid:5bfa9cf4-93e0-4b4e-81be-fb970a4271a1/datastream/OBJ/view