Forecasting geomagnetic activity indices

Details Forecasting geomagnetic activity indices Forecasting geomagnetic activity indices

Dec 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agufmsm41a0332s&link_type=abstract

American Geophysical Union, Fall Meeting 2007, abstract #SM41A-0332

Other

2722 Forecasting (7924, 7964), 2784 Solar Wind/Magnetosphere Interactions, 7904 Geomagnetically Induced Currents, 7924 Forecasting (2722), 7984 Space Radiation Environment

Scientific paper

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).

Affiliated with

Also associated with

No associations

Rating

Forecasting geomagnetic activity indices does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Forecasting geomagnetic activity indices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Forecasting geomagnetic activity indices will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1424947