Geomagnetic activity forecast: the Dst index
forecasts using neural networks



 Forecast techniques
  neural networks
  linear filters
  differential equations
  references

 Forecasts & evaluation
  forecasts (all models)
  evaluation of forecasts

 Data
  solar wind data
  geomagnetic data

 Models & Downloads
  Lund Dst model

 Dst prediction sites
  UCLA
  UCB
  CRL, Japan
  IRF-Lund
  DMI


^M
The staff at NOAA's Space Environment Center in Boulder, and the ACE project teams, are gratefully acknowledged.


For information or comments, please contact:
Hans Gleisner, hans@irfl.lu.se