Maurtis, SergeiMcAllister, JeffWatkins, BrentonW. de Leeuw and R. van Liere2014-01-302014-01-30200032118351561727-5296https://doi.org/10.2312/VisSym/VisSym00/239-248As 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 www.arsc.edu/ SpaceWeather and dac3.gi.alaska.edu/~sergei in various formats such as GIFfiles, including their JavaScript animation; NCAR 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.