Contract Number: 4000115171
GSP Internal Number: 14-608-a
Benchmarking re-entry prediction uncertainties
Contractor: TU DELFT
Country: The Netherlands
Study Duration: 20 October 2015 - 14 March 2017
Tags:
ABSTRACT
The primary objective of the Benchmarking re-entry prediction uncertainties study is to fully exploit the informa- tion content of the GOCE observations and telemetry collected during its reentry phase for better understand- ing re-entry predictions in general and for GOCE in particular (ESA, 2015). Down to an altitude of 137 km, a rich data set of high-quality GPS, star tracker and also accelerometer observations were collected, be it that the latter were more and more...read more
Executive Summary - Final

The primary objective of the Benchmarking re-entry prediction uncertainties study is to fully exploit the informa- tion content of the GOCE observations and telemetry collected during its reentry phase for better understand- ing re-entry predictions in general and for GOCE in particular (ESA, 2015). Down to an altitude of 137 km, a rich data set of high-quality GPS, star tracker and also accelerometer observations were collected, be it that the latter were more and more saturated.