By downloading data you agree to follow SuperMAG's Rules of the road.
Download Polar Plot
Download NetCDF Data
SuperMAG global data are distributed in NetCDF format. Please see the NetCDF website for more details on this format. The files are for the complete day of interest.
SuperMAG is made possible by the generous contribution by a long list of collaborators. To ensure their continued operation the user must follow the below rules-of-the-road. Data, plots or derived data products are provided under the limitations of "fair use" and cannot be redistributed. Contact the individual instrument PI and the SuperMAG PI for requests that are in conflict with these restrictions.
The user is requested to acknowledge individual collaborators and SuperMAG when original data, derived data, movies, or data products are used in publications and/or presentations.When Using Data
In all cases:
In cases that a few stations play a key role and their data are central to the scientific conclusion of the paper:
Lichtenberger J., M. Clilverd, B. Heilig, M. Vellante, J. Manninen, C. Rodger, A. Collier, A. Jørgensen, J. Reda, R. Holzworth, and R. Friedel (2013), The plasmasphere during a space weather event: first results from the PLASMON project, J. Space Weather Space Clim., 3, A23 (www.swsc-journal.org/articles/swsc/pdf/2013/01/swsc120062.pdf).Collaborator IMAGE Chain
Tanskanen, E.I. (2009), A comprehensive high-throughput analysis of substorms observed by IMAGE magnetometer network: Years 1993-2003 examined, 114, A05204, doi:10.1029/2008JA013682.Collaborator MACCS
Engebretson, M. J., W. J. Hughes, J. L. Alford, E. Zesta, L. J. Cahill, Jr., R. L. Arnoldy, and G. D. Reeves (1995), Magnetometer array for cusp and cleft studies observations of the spatial extent of broadband ULF magnetic pulsations at cusp/cleft latitudes , J. Geophys. Res., 100, 19371-19386, doi:10.1029/95JA00768.Collaborator McMAC Chain
Chi, P. J., M. J. Engebretson, M. B. Moldwin, C. T. Russell, I. R. Mann, M. R. Hairston, M. Reno, J. Goldstein, L. I. Winkler, J. L. Cruz-Abeyro, D.-H. Lee, K.Yumoto, R. Dalrymple, B. Chen, and J. P. Gibson (2013), Sounding of the plasmasphere by Mid-continent MAgnetoseismic Chain magnetometers, J. Geophys. Res. Space Physics, 118, doi:10.1002/jgra.50274.Collaborator MAGDAS / 210 Chain
Yumoto, K,. and the CPMN Group (2001), Characteristics of Pi 2 magnetic pulsations observed at the CPMN stations: A review of the STEP results, Earth Planets Space, 53, 981-992.SuperMAG
Gjerloev, J. W. (2012), The SuperMAG data processing technique, J. Geophys. Res., 117 , A09213, doi:10.1029/2012JA017683.Indices SMLs, SMLd, SMUs, SMUd
Gjerloev, J. W., R. A. Hoffman, S. Ohtani, J. Weygand, and R. Barnes, Response of the Auroral Electrojet Indices to Abrupt Southward IMF Turnings (2010), Annales Geophysicae, 28, 1167-1182.Indices SML, SMU, SME
Newell, P. T., and J. W. Gjerloev (2011), Evaluation of SuperMAG auroral electrojet indices as indicators of substorms and auroral power, J. Geophys. Res., 116, A12211, doi:10.1029/2011JA016779.Indices SMR, SMR-LT
Newell, P. T. and J. W. Gjerloev (2012), SuperMAG-Based Partial Ring Current Indices, J. Geophys. Res., 117, doi:10.1029/2012JA017586.Substorm List
Newell, P. T., and J. W. Gjerloev (2011), Evaluation of SuperMAG auroral electrojet indices as indicators of substorms and auroral power, J. Geophys. Res., 116, A12211, doi:10.1029/2011JA016779.
Newell, P. T., and J. W. Gjerloev (2011), Substorm and magnetosphere characteristic scales inferred from the SuperMAG auroral electrojet indices, J. Geophys. Res., 116, A12232, doi:10.1029/2011JA016936.
Polar plots of ground level magnetic field perturbations. Vectors are deduced from the two horizontal components and are rotated 90° clockwise to indicate ionospheric equivalent current direction. Units are nT. Polar plots are in magnetic coordinates centered at the magnetic pole and hence the continents are somewhat distorted.
The uniformly gridded data are derived from statistical-based method which combines with basis function expansion techniques (Waters et al., 2015) to provide extensive maps of the ground level perturbation magnetic field from 40° magnetic latitude to the magnetic pole for all longitudes. The method combines all available data from the SuperMAG data base, Principal Component Analysis, and a spherical cap harmonic basis function expansion in order to fill in magnetic perturbation data where there are no magnetometers and produce the poloidal current potential. The final uniform solutions are derived from measured perturbations and the fill-in (model) vectors. On the website are shown the measured perturbations and the final fitted solutions. The fill-in (model) vectors are not shown.
Waters, C. L., J. W. Gjerloev, M. Dupont, and R. J. Barnes (2015), Global maps of ground magnetometer data, J. Geophys. Res. Space Physics, 120,doi:10.1002/2015JA021596
ULF data products are derived from the 1-min magnetometer data provided by the SuperMAG collaborators. If you use the ULF data products in publications and/or presentations please clearly indicate that these are SuperMAG derived ULF data.
SuperMAG includes Auroral Images from the IMAGE Far Ultraviolet Image and Polar Visible Imaging System (VIS).
The foot points of the NASA Van Allen Probes spacecraft and the ESA SWARM spacecraft are included in the polar plots.
The instantaneous position of the NASA Van Allen Probes are marked by circles on the plot. The orbit track shows the last six (6) hours, marked with arrows at hourly intervals pointing in the direction the spacecraft is moving. The track for Van Allen Probe A is shown in red, Van Allen Probe B is shown in blue.
The foot point is calculated by tracing from the spacecraft location to the ground along a magnetic field line. The magnetic field model is the Olsen-Pfitzer 1997 Quiet time model.
The instantaneous position of the ESA SWARM spacecraft are marked by triangles on the plot.SWARM A is shown in red, SWARM B in green, and SWARM C in blue.
Solar Wind data has been propagated to the front of the magnetosphere (courtesy Dr. James Weygand) using the pseudo-minimum variance technique of Dan Weimer et al. [2003; 2004].