Many satellites carry magnetometer as part of its attitude orbit control system (AOCS). The magnetometer does not belong to the scientific payload of the mission. However, after postprocessing of the data, information on the geomagnetic field and on electric currents in near Earth space can be derived.

The GRACE-FO mission is a dedicated gravity field mission. Since the satellites carry two fluxgate magnetometers each, these have been calibrated and characterized for pertubations. The standard deviation of geomagnetic quiet time residual with high-performance geomagnetic field model (CHAOS7) is below 10 nT.

A detailed study has been published here:

Stolle, C., Michaelis, I., Xiong, C. et al. Observing Earth’s magnetic environment with the GRACE-FO mission. Earth Planets Space 73, 51 (2021). https://doi.org/10.1186/s40623-021-01364-w

The data has been published here: 

Michaelis, Ingo; Stolle, Claudia; Rother, Martin (2021): GRACE-FO calibrated and characterized magnetometer data. V. 0201. GFZ Data Services. https://doi.org/10.5880/GFZ.2.3.2021.002

A new study using Machine Learning methods has been published here:

K. Styp-Rekowski, C. Stolle, I. Michaelis and O. Kao, "Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data," 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 5283-5290, doi: 10.1109/BigData52589.2021.9671977.

The GOCE mission is a dedicated gravity field mission. Since the satellite carries three fluxgate magnetometers, these have been calibrated and characterized for pertubations. The standard deviation of geomagnetic quiet time residual with high-performance geomagnetic field model (CHAOS7) is below 13 nT.

A preprint of the detailed study using Analytical method has been published here:

Michaelis, I., Styp-Rekowski, K., Rauberg, J., Stolle, C., & Korte, M. (2022). Geomagnetic data from the GOCE satellite mission. doi:10.1002/essoar.10511006.1

The data has been published here: 

Michaelis, Ingo; Korte, Monika (2022): GOCE calibrated and characterised magnetometer data. V. 0205. GFZ Data Services. https://doi.org/10.5880/GFZ.2.3.2022.001

and is available at

ftp://isdcftp.gfz-potsdam.de/platmag/MAGNETIC_FIELD/GOCE/Analytical/v0205/

 

A preprint of the detailed study using Machine Learning method has been published here:

Kevin Styp-Rekowski, Ingo Michaelis, Claudia Stolle et al. Machine Learning-based Calibration of the GOCE Satellite Platform Magnetometers, 03 May 2022, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-1607576/v1

The data has been published here: 

Styp-Rekowski, Kevin; Michaelis, Ingo; Stolle, Claudia; Baerenzung, Julien; Korte, Monika; Kao, Odej (2022): GOCE ML-calibrated magnetic field data. V. 0204. GFZ Data Services. https://doi.org/10.5880/GFZ.2.3.2022.002

and is available at

ftp://isdcftp.gfz-potsdam.de/platmag/MAGNETIC_FIELD/GOCE/ML/v0204/

Contact

Dr. Monika Korte

Section 2.3: Geomagnetism

Albert-Einstein-Straße 42-46

Gebäude A 42, Raum 227

14473 Potsdam

Germany

Tel.: +49 331 288-1268