Supplementary Dataset: "Polar ionospheric currents and high temporal resolution geomagnetic field models"

<h2>README</h2><p dir="ltr">Data and model parameter files supplement the paper:</p><p dir="ltr"><b>Title</b>: "Polar ionospheric currents and high temporal resolution geomagnetic field models"</p><p dir="ltr"><b>Authors</b>: Kloss, C. and Finlay, C. and Laundal, K.M. and Olsen, N.</p><p dir="ltr"><b>DOI</b>: 10.1093/gji/ggad325</p><p dir="ltr">Supplementary software that investigates the divergence and curl of the estimated poloidal ionospheric field is available at <a href="https://doi.org/10.11583/DTU.24542374" target="_blank">https://doi.org/10.11583/DTU.24542374</a>.</p><h3>Files Description</h3><p dir="ltr">The following files are available:</p><ol><li>Model-A_datafile.h5</li><li>Reference.mat</li><li>Model-A.mat</li><li>Model-B.mat</li><li>readme.txt</li></ol><h4><i>(1) Model-A_datafile.h5:</i></h4><p dir="ltr">The file stores the processed magnetic data used to estimate our geomagnetic field model called Model-A. Data is organized as HDF-datasets within the HDF-group "vector". Each HDF-dataset comes with the attributes "UNITS", "DESCRIPTION" and "FORMAT", which provide additional information on the HDF-dataset.</p><p dir="ltr">Python code example (using h5py Python package):</p><p dir="ltr">>>> import h5py as h5</p><p dir="ltr">>>> file = h5.File('Model-A_datafile.h5', 'r')</p><p dir="ltr">>>> print(list(file['vector'].keys())) # list all data variables</p><p dir="ltr">>>> print(file["vector/Time"].attrs["UNITS"].decode()) # units of "Time"</p><p dir="ltr">>>> file.close()</p><p dir="ltr">References to the original databases:</p><p dir="ltr">(i) Swarm and CryoSat2 data are available through ESA at <a href="https://swarm-diss.eo.esa.int/#" rel="noreferrer" target="_blank">https://swarm-diss.eo.esa.int/#</a>.</p><p dir="ltr">(ii) CHAMP data are available from GFZ Data Services at <a href="https://www.doi.org/10.5880/GFZ.2.3.2019.004" rel="noreferrer" target="_blank">https://www.doi.org/10.5880/GFZ.2.3.2019.004</a>.</p><p dir="ltr">(iii) Ground magnetic observatory data from INTERMAGNET are available via the virtual research platform VirES <a href="https://vires.services/" rel="noreferrer" target="_blank">https://vires.services/</a>.</p><p dir="ltr">(iv) RC index is available at <a href="http://www.spacecenter.dk/files/magnetic-models/RC/" rel="noreferrer" target="_blank">http://www.spacecenter.dk/files/magnetic-models/RC/</a>.</p><p dir="ltr">(v) SML index is available at <a href="https://supermag.jhuapl.edu/info/" rel="noreferrer" target="_blank">https://supermag.jhuapl.edu/info/</a>.</p><p dir="ltr">(vi) Solar wind speed, interplanetary magnetic field and Kp index are available through the GSFC/SPDF OMNIWeb interface at <a href="https://omniweb.gsfc.nasa.gov/ow.html" rel="noreferrer" target="_blank">https://omniweb.gsfc.nasa.gov/ow.html</a>.</p><p dir="ltr">(vii) CHAOS-7 model and its updates are available at <a href="http://www.spacecenter.dk/files/magnetic-models/CHAOS-7/" rel="noreferrer" target="_blank">http://www.spacecenter.dk/files/magnetic-models/CHAOS-7/</a>.</p><h4><i>(2-4) Reference.mat (similarly for Model-A.mat, Model-B.mat):</i></h4><p dir="ltr">Model parameter file of our estimated model in mat-format, following the style of the CHAOS model releases.</p><p dir="ltr">Chaosmagpy (<a href="https://chaosmagpy.readthedocs.io/en/master/readme.html" target="_blank">documentation</a>, doi: <a href="https://doi.org/10.5281/zenodo.3352398" target="_blank">https://doi.org/10.5281/zenodo.3352398</a> ) can be used to load the mat-formatted file and evaluate the non-ionospheric parts of the model. The ionospheric part of our model is unfortunately not supported at the moment. However, we have plans to make this possible in a future version of chaosmagpy.</p><p dir="ltr">Python code example (using ChaosMagPy Python package):</p><p dir="ltr">>>> import chaosmagpy as cp</p><p dir="ltr">>>> model_a = cp.CHAOS.from_mat('Model-A.mat) # load model file</p><p dir="ltr">>>> B_int = model_a.synth_values_tdep(...) # evaluate time-dependent internal field</p><h4><i>(5) Readme.txt:</i></h4><p dir="ltr">Copy of this document.</p><h3>Changelog</h3><p dir="ltr">2023-11-10 Added link to supplementary software.</p><p dir="ltr">2023-08-16 Initial preparation of this document and the files by Clemens Kloss.</p><p><br></p>