Supplementary Material: "Polar ionospheric currents and high temporal resolution geomagnetic field models"
Data and model parameter files supplement the paper:
Title: "Polar ionospheric currents and high temporal resolution geomagnetic field models"
Authors: Kloss, C. and Finlay, C. and Laundal, K.M. and Olsen, N.
The following files are available:
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.
Python code example (using h5py Python package):
>>> import h5py as h5
>>> file = h5.File('Model-A_datafile.h5', 'r')
>>> print(list(file['vector'].keys())) # list all data variables
>>> print(file["vector/Time"].attrs["UNITS"].decode()) # units of "Time"
References to the original databases:
(i) Swarm and CryoSat2 data are available through ESA at https://swarm-diss.eo.esa.int/#.
(ii) CHAMP data are available from GFZ Data Services at https://www.doi.org/10.5880/GFZ.2.3.2019.004.
(iii) Ground magnetic observatory data from INTERMAGNET are available via the virtual research platform VirES https://vires.services/.
(iv) RC index is available at http://www.spacecenter.dk/files/magnetic-models/RC/.
(v) SML index is available at https://supermag.jhuapl.edu/info/.
(vi) Solar wind speed, interplanetary magnetic field and Kp index are available through the GSFC/SPDF OMNIWeb interface at https://omniweb.gsfc.nasa.gov/ow.html.
(vii) CHAOS-7 model and its updates are available at http://www.spacecenter.dk/files/magnetic-models/CHAOS-7/.
(2-4) Reference.mat (similarly for Model-A.mat, Model-B.mat):
Model parameter file of our estimated model in mat-format, following the style of the CHAOS model releases.
Chaosmagpy (documentation, doi: https://doi.org/10.5281/zenodo.3352398 ) 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.
Python code example (using ChaosMagPy Python package):
>>> import chaosmagpy as cp
>>> model_a = cp.CHAOS.from_mat('Model-A.mat) # load model file
>>> B_int = model_a.synth_values_tdep(...) # evaluate time-dependent internal field
Copy of this document.
2023-08-16 Initial preparation of this document and the files by Clemens Kloss.
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