Eigen mode solutions and code to obtain them for the results presented in Satellite magnetic data reveal interannual waves in Earth's core. The package uses the freely available code Mire.jl. Prerequisites Installed python3 with matplotlib ���v2.1, cmocean and cartopy. A working Julia ���v1.7. Run In the project folder run julia --project=. Then, from within the Julia REPL run ]instantiate at first time, to install all dependencies. After that, to compute all plots, run using QGMCSat allfigs() They're automatically saved in the "figs" subfolder of the repository. If loading QGMCSat fails, due to a missing cartopy or cmocean in the python version. Run (within Julia) ENV["PYTHON"] = "python" #this should point to the python version that has cartopy installed ]build PyCall To calculate all data, run using QGMCSat calculate_data() This will take several hours/days depending on the machine (needs enough memory). Individual data can be accessed directly through the .jld2 files from Julia. You can check out the individual figure functions to get an idea where which data is stored. If there are any issues or questions, please don't hesitate to get in touch!

This work was supported by the French Centre National d'Etudes Spatiales, focused on the absolute scalar magnetometer instrument onboard of the Swarm mission of the European Space Agency (ESA). The contri- butions of N.G., D.J., and J.A. have also been funded by ESA in the framework of EO Science for Society, through Contract 4000127193/19/NL/IA (Swarm + 4D Deep Earth: Core). This project has received funding from the European Research Council under the European Union's Horizon 2020 research and in- novation programme (GRACEFUL Synergy Grant Agreement 855677). We thank two anonymous referees whose comments helped improve the quality of our manuscript. The staff of the geomagnetic observatories and INTERMAGNET are thanked for supplying high-quality observatory data.