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This research explores the detailed analysis of SWARM satellite sensor data, including accelerometers and GPS measurements, to identify and separate various influences such as thermal effects, sensor errors, and atmospheric signals. We aim to correlate these findings with spatial and temporal patterns, evaluate ionospheric fluctuations using turbulence theory, and investigate how disturbances affect gravity field solutions for the SWARM and GRACE missions. Collaboration with partners is encouraged to enhance our understanding of these complex interactions.
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Exploiting SWARM sensor data for non-standard effects Jürgen Müller, Jakob Flury, Steffen Schön Institut für Erdmessung Leibniz Universität Hannover
Research ideas • 1) Analysis of SWARM accelerometer and star sensor data • interpretation/separation of thermic effects, sensor errors, atmospheric and geophysical signals • correlation of measurements wrt. spatial and temporal patterns • 2) Analysis of SWARM GPS data • signals in RUAG receivers • study of ionospheric effects applying turbulence theory • We could imagine to join projects with similar ideas. Partners are welcome.
Characterizationofaccelerometersignals Example: GRACE Disturbances twangs, switching spikes, temperature effects (due to reduced thermal control capability in recent years), vibrations, radiation pressure SWARM case? Impact? gravity field, orbit and empirical parameters might be affected by mutual dependencies and correlation • J. Flury, J. Müller
Satellite sensor analysis and gravity parameter estimation • Research question • How do accelerometer performance and acceleration disturbances affect gravity field solutions for GRACE and SWARM? • Proposed work • SWARM accelerometer characterization and comparison to GRACE to understand disturbance effects • physical modeling of disturbances • gravity parameter estimation experimentsto assess error propagation • Related/similar: star camera attitude data analysis and propagation of attitude errors in the gravity estimation process • Cooperation partners • U Lux, AIUB (for orbit and gravity estimation techniques) or others. • J. Flury, J. Müller
GPS dataanalysisandionosphericfluctuationsapplyingturbulencetheory • b) Studyingionosphericscintillationsandfluctuationsbased on turbulencetheory • modelsforrefractivityindexfluctuationsbased on plasmafluctuations (power • laws, Matern kernel) • analysisofspatialand temporal correlationpatternsofthe GPS LEO data (randomfields) • high GPS dataqualityrequired(froma) a) Analysis ofthe GPS dataof RUAG receivers,similarities/differencesbetween A/B and C in termsofclockquality, temperaturevariations, multipath,… t2 t1 • S. Schön