Statistically predicting Dst without satellite data

Details Statistically predicting Dst without satellite data Statistically predicting Dst without satellite data

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009ep%26s...61..621p&link_type=abstract

Earth, Planets and Space, Volume 61, p. 621-624.

Other

1

Scientific paper

In this paper we construct a regression relationship for predicting Dst 1 hour ahead. Our model uses only previous Dst values. This regression is totally unbiased and does not rely on any physical model, except for the fact that Dst somehow contains the information on the recurrent geomagnetic storms. This regression has the prediction efficiency of 0.964, linear correlation with official Dst index of 0.982, and RMS of 4.52 nT. These characteristics are inferior only to our other model, which uses satellite data and provides the prediction efficiency of 0.975, linear correlation with official Dst index of 0.986, and RMS of 3.76 nT. This makes it quite suitable for prediction purposes when satellite data are not available.

Affiliated with

Also associated with

No associations

Rating

Statistically predicting Dst without satellite data 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 Statistically predicting Dst without satellite data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Statistically predicting Dst without satellite data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-809047