A jupyter notebook for calculating a magnetic local time dependent Pc5 ultra-low frequency wave index from SuperMAG data. It uses wavelet transform to get the power and the scale-averaged wavelet (equation 24 in Torrence and Compo) to resolve power in the Pc5 band. Requirements The wavelet transform is done by using a module called PyCWT. Installation instructions can be found at: https://pycwt.readthedocs.io/ Other requirements are: numpy, pandas and netCDF4. Setting up Download SuperMAG yearly data. The script reads yearly files in the form: `all_stations_all{YYYY}.netcdf`. Before running the following parameters need to be set up What year the data are from: # year YYYY = 2023 Choose the magnetic latitude range: # latitude (60-70,70-80,etc.) lat_set = (65,70) Choose which magnetic field component: # component (N, E or H) component = 'N'