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.
The detailed study using Analytical method has been published here:
Michaelis, I., Styp-Rekowski, K., Rauberg, J. et al. Geomagnetic data from the GOCE satellite mission. Earth Planets Space 74, 135 (2022). https://doi.org/10.1186/s40623-022-01691-6
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/
The detailed study using Machine Learning method has been published here:
Styp-Rekowski, K., Michaelis, I., Stolle, C. et al. Machine learning-based calibration of the GOCE satellite platform magnetometers. Earth Planets Space 74, 138 (2022). https://doi.org/10.1186/s40623-022-01695-2
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/
and updated here:
Kevin Styp-Rekowski, Ingo Michaelis, Monika Korte, et al. Physics-informed Neural Networks for the Improvement of Platform Magnetometer Measurements. Authorea. January 23, 2024.
DOI: 10.22541/au.170602061.18680921/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. 0301. GFZ Data Services. doi.org/10.5880/GFZ.2.3.2022.002
and is available at
ftp://isdcftp.gfz-potsdam.de/platmag/MAGNETIC_FIELD/GOCE/ML/v0301/