HR: 0800h
AN: SM41A-0332 [Abstracts]
TI: Forecasting geomagnetic activity indices
AU: Schofield, J
EM: janice.schofield@jhuapl.edu
AF: Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD 20723-6099, United
States
AU: * Wing, S
EM: simon.wing@jhuapl.edu
AF: Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD 20723-6099, United
States
AU: Johnson, J R
EM: jrj@pppl.edu
AF: Princeton University, POB 451 MS 28, Princeton, NJ 08543-0000, United States
AB:
Magnetically active times, e.g., Kp > 5, are notoriously difficult to predict, precisely the times when such
predictions are crucial to the space weather users. Taking advantage of the routinely available solar wind
measurements at Langrangian point (L1) and nowcast Kps, Kp and Dst forecast models based on neural
networks were developed with the focus on improving the forecast for active times. To satisfy different needs and
operational constraints, three models were developed: (1) a model that inputs nowcast Kp and solar wind
parameters and predicts Kp 1 hr ahead; (2) a model with the same input as model 1 and predicts Kp 4 hr ahead;
and (3) a model that inputs only solar wind parameters and predicts Kp 1 hr ahead (the exact prediction lead time
depends on the solar wind speed and the location of the solar wind monitor.) Extensive evaluations of these
models and other major operational Kp forecast models show that, while the new models can predict Kps more
accurately for all activities, the most dramatic improvements occur for moderate and active times. Similar Dst
models were developed. Information dynamics analysis of Kp, suggests that geospace is more dominated by
internal dynamics near solar minimum than near solar maximum, when it is more directly driven by external
inputs, namely solar wind and interplanetary magnetic field (IMF).
DE: 2722 Forecasting (7924, 7964)
DE: 2784 Solar wind/magnetosphere interactions
DE: 7904 Geomagnetically induced currents
DE: 7924 Forecasting (2722)
DE: 7984 Space radiation environment
SC: SPA-Magnetospheric Physics [SM]
MN: 2007 Fall Meeting