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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 26, issue 2
Ann. Geophys., 26, 371-386, 2008
https://doi.org/10.5194/angeo-26-371-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: 3rd European Space Weather Week (ESWW)

Ann. Geophys., 26, 371-386, 2008
https://doi.org/10.5194/angeo-26-371-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  26 Feb 2008

26 Feb 2008

Time series autoregression technique implemented on-line in DIAS system for ionospheric forecast over Europe

K. Koutroumbas, I. Tsagouri, and A. Belehaki K. Koutroumbas et al.
  • National Observatory of Athens, Institute for Space Applications and Remote Sensing, Greece

Abstract. A new method for ionospheric predictions based on time series autoregressive models (AR) that was recently developed to serve the needs of the European Digital Upper Atmosphere Server (DIAS) for short term forecast of the foF2 parameter over Europe (up to the next 24 h) is described. Its performance for various steps ahead is compared with the outcome of neural network predictors for both storm and quiet periods in two DIAS locations, Athens and Pruhonice. The results indicate that the proposed method provides robust short term forecasts of the foF2 for the middle latitude ionosphere.

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