WWW-based Visualization of the Real Time Run of a Space Weather Forecasting Model

  • Sergei Maurtis
  • Jeff McAllister
  • Brenton Watkins
Conference paper
Part of the Eurographics book series (EUROGRAPH)


As use of earth-orbiting space technology increases, so does the need to understand and forecast the space weather. The University of Alaska Fairbanks Eulerian Parallel Polar Ionosphere Model (UAF EPPIM) is a first principles three-dimensional time-dependant Simulation, applied for real-time ionospheric forecasts. Its network-based continuous run uses on-line remote inputs, including current satellite data. Forecasted conditions are continuously visualized and disseminated via two mirrored WWW-sites Weather and in various formats such as GIF-files, including their JavaScript animation; NC AR Graphics metafiles; and Vis5D databases. This paper describes practical approaches to issues such as synchronizing the model run to the real-time inputs and achieving the highest possible resolution on a variety of computational platforms. Experience running the model with network inputs continuously for nearly three years is presented and summarized. Examples of remote use of model forecasts are discussed together with new opportunities this real-time approach provides for the U.S. National Space Weather Program.


Solar Wind Space Weather Computational Platform Ionosphere Model Solar Sail 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Hibbard, W.L., B.E. Paul, D.A. Santec, C.R. Dyer, A.L. Battaiola, and M-F. Voidrot-Martinez, Interactive Visualization of Earth and Space Science Computations, Computer, 27, No.7, pp. 65–72 July 1994.CrossRefGoogle Scholar
  2. 2.
    Kelley, M.C. with contributions from Roderick A. Hellis, The Earths Ionosphere (Plasma Physics and Electrodynamics), Academic Press, Inc., p. 10-21,1989Google Scholar
  3. 3.
    Maurits, S. and B. Watkins, UAF Eulerian Model of the Polar Ionosphere, STEP Handbook of Ionospheric Models, p. 95-123,1996.Google Scholar
  4. 4.
    Richmond, A.D. and Y. Kamide, Mapping electrodynamic features of the high-latitude ionosphere from localized observations: technique, J. Geophys. Res., 93,5741,1988.CrossRefGoogle Scholar
  5. 5.
    Ruohoniemi, J.M., and R.A. Greenwald, Statistical patterns of high-latitude convection obtained from Goose Bay HF radar observations,J. Geophys. Res., 10121743–217631996.CrossRefGoogle Scholar
  6. 6.
    Weimer, D.R., A flexible, IMF dependent model of high-latitude electric potentials having “space weather” applications, Geophys. Res. Lett., 23,2549,1996.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Sergei Maurtis
    • 1
  • Jeff McAllister
    • 1
  • Brenton Watkins
    • 2
  1. 1.Arctic Region Supercomputing CenterUniversity of AlaskaFairbanksUSA
  2. 2.Geophysical InstituteUniversity of Alaska FairbanksFairbanksUSA

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