Real-time prediction
of geomagnetic storms
from ACE solar wind data |
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Geomagnetic storms, characterized by Dst index, are predicted 1 hour ahead from solar
wind data using Elman recurrent neural networks.
Real-time ACE
solar wind plamsa and IMF data are taken from the
Space Environment Center.
The neural network models used here have been developed by
Wu [1997] and Wu and Lundstedt [1996, 1997a, 1997b].
The models' performance has further been
verified from their capability to accurately predict a major magnetic storm triggered
by the 1997 January halo-CME
[Wu et al., 1998] August 1, 1998 Issue 14 - Sun-Earth Special Section Part II.
Provided by the
World Data Center C2 (WDC-C2 for
Geomagnetism, Kyoto University, Japan), the provisional Dst index (available on the previous day) is
used for comparison with prediction.
The prediction given below is 1 hour in advance, made from the solar wind input parameters
(B, By, Bz, N, V). To see the prediction from the input parameters (B, Bs, N, V), please click
here.
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The prediction presented here is still in a test phase.
The staff at NOAA's Space Environment Center in Boulder and the ACE project
teams are gratefully acknowledged for providing real-time solar-wind data.
The WDC-C2 for Geomagnetism, Kyoto University, is gratefully acknowledged for
providing the provisional Dst.
References
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(1) Prediction of geomagnetic storms from solar wind data using Elman recurrent neural networks,
- Wu, J.-G., and H. Lundstedt, Geophys. Res. Lett., 23, 319, 1996.
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(2) Space Weather Physics: Dynamic Neural Network Studies of Solar Wind-Magnetosphere Coupling, Ph.D
thesis,
- Wu, J.-G., LUNFD6/(NFAS-1016)/1-136/(1997), Lund University, Lund, Sweden, 1997.
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(3) Geomagnetic storm predictions from solar wind data with the use of dynamic neural networks,
- Wu, J.-G., and H. Lundstedt, J. Geophys. Res., 102, 14255-14268, 1997.
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(4) Neural network modeling of solar wind-magnetosphere interaction,
- Wu, J.-G., and H. Lundstedt, J. Geophys. Res., 102, 14457-14466, 1997.
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(5) Neural network models predicting the magnetospheric response to
the 1997 January halo-CME event,
- Wu, J.-G., H. Lundstedt, P. Wintoft, and T.R. Detman,
Geophys. Res. Lett., 25, 3031, 1998.
Some Links for Space Weather Forecasting
Space weather predictions (IRF/Lund Space Weather Center)
Space weather forecasting (NOAA/SEC)
Prediction of the Auroral Electrojet Indices (NASA/GSFC)
Real-Time Predictions of Dst (NASA/GSFC)
Real-Time Predictions of Dst (UCLA)
Real-Time Predictions of Dst (Japan/IRF-K)
Real-Time Dst Estimate (UC Berkeley)
Space weather prediction: Research and development (NRL/USA)
Some Educational Links for Space Weather
Space Weather: A Research Perspective
National Space Weather Program: Strategic Plan
National Space Weather Program: Implementation Plan
Space Weather Resources (Rice Univ.)
Dr. Jian-Guo Wu
Solar-Terrestrial Physics Division,
Danish Meteorological Institute
Lyngbyvej 100, DK-2100 Copenhagen, Denmark
Questions or comments can be addressed to
Jian-Guo Wu (e-mail:jgw@dmi.dk)
Last update May 10, 1999.
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