Data and code used in "Satellite magnetic data reveal interannual waves in Earth's core" Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.5281/zenodo.5084367
· OA: W4393654497
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. <strong>Prerequisites</strong> Installed python3 with matplotlib ≥v2.1, cmocean and cartopy. A working Julia ≥v1.7. <strong>Run</strong> In the project folder run <pre><code>julia --project=.</code></pre> <br> Then, from within the Julia REPL run <pre><code>]instantiate</code></pre> at first time, to install all dependencies. After that, to compute all plots, run <pre><code>using QGMCSat allfigs()</code></pre> 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)<br> <pre><code>ENV["PYTHON"] = "python" #this should point to the python version that has cartopy installed ]build PyCall</code></pre> <br> To calculate all data, run <pre><code>using QGMCSat calculate_data()</code></pre> 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!
