Computer Science – Performance
Scientific paper
May 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009spd....40.1605b&link_type=abstract
American Astronomical Society, SPD meeting #40, #16.05; Bulletin of the American Astronomical Society, Vol. 41, p.840
Computer Science
Performance
Scientific paper
Recently, a workshop entitled "Forecasting the Operational All-clear" was co-hosted by NASA/SRAG, NOAA/SWPC and NWRA/CoRA. For this workshop, a number of flare prediction algorithms were run on common data sets, with consistent definitions of what constitutes an event. We present an initial comparison of the performance of the predictions, using standard verification statistics, with an emphasis on being able to predict intervals when no major events take place. The majority of the algorithms rely on data which can be derived from line of sight magnetic field observations, but predictions based exclusively on flare history were also included, to provide a baseline against which to make comparisons.
Barnes Graham
Operational All-clear Participants Forecasting the
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