An empirical orthogonal function reanalysis of the northern polar external and induced magnetic field during solar cycle 23

A netcdf-formatted file containing the original binned data
(described in Shore et al [2017], doi pending), in their state before
they were subjected to EOF analysis.

These have had additional processing applied to the SuperMAG data
(publically available at http://supermag.jhuapl.edu/) in the form of
sampling them to the centroid of the bins, thus they are worth
providing here despite the large file size (approximately 12GB).

To conserve file space, we have removed empty bins, thus the temporal
and spatial basis for these data are provided for each filled bin
element. Please note that the binned data had not had the temporal
mean values (described in Shore et al [2017], doi pending, and
available in the Supporting Information) removed when they were stored
in this netcdf file.

The file contains 144 (monthly) sets of 8 variables.

These variables are named:

1: filled_bin_data_YYYYMM_r
2: filled_bin_data_YYYYMM_theta
3: filled_bin_data_YYYYMM_phi

Variables 1 to 3 contain the nanoTesla vales of the binned data for
each of the three magnetic field components in the Quasi-Dipole frame.

4: filled_bin_contrib_stations_YYYYMM

The three-letter SuperMAG acronym of the station which contributed to
each 5-minute mean data point.

5: filled_bin_colats_YYYYMM
6: filled_bin_longs_YYYYMM

Variables 5 and 6 are the co-latitude and longitude coordinates of each
filled bin element.

7: filled_bin_times_YYYYMM

The 5-minute-mean epoch of each filled bin element, with columns in the
order: year, month, day, hour, minute, second).

8: filled_bin_indices_YYYYMM

A set of fiducial values describing how the sparse elements of the 1D
vector of filled bin values relate to the fiducials of the
(transposed!) EOF prediction a 2D matrix product of the spatial and
temporal eigenvectors with values in every bin.

An example of the usage of these data is given in the MATLAB program
Shore-ms01.m, provided in the Supporting Information of
Shore et al [2017], (doi pending).