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scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

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STP12 Abstracts<br />

Berlin, 12 - 16 July <strong>2010</strong><br />

SCOSTEP Symposium <strong>2010</strong><br />

Using observations of subsurface helicity to predict flare occurrence<br />

Reinard Alysha 1 , Henthorn Justin 2 , Komm Rudi 3 , Hill Fr<strong>an</strong>k 3<br />

1 University of Colorado/NOAA-SWPC, 2 Ohio University, 3 National Solar Observatory<br />

Solar flares are responsible for a number of hazardous effects on the earth<br />

such as disabling high-frequency radio communications, interfering with GPS<br />

measurements, <strong>an</strong>d disrupting satellites. However, forecasting flare<br />

occurrence has been very difficult. One possible me<strong>an</strong>s for predicting flare<br />

occurence lies in helioseismology, i.e. <strong>an</strong>alysis of the region below the<br />

active region for signs of <strong>an</strong> impending flare. Time series helioseismic data<br />

collected by the Global Oscillation Network Group (GONG) has been <strong>an</strong>alyzed<br />

for a subset of active regions that produce large flares <strong>an</strong>d a subset with<br />

very high magnetic field strength that produce no flares. A predictive<br />

parameter has been developed <strong>an</strong>d <strong>an</strong>alyzed using discrimin<strong>an</strong>t <strong>an</strong>alysis as well<br />

as traditional forecasting tools such as the Heidke skill score. Preliminary<br />

results indicate this parameter, combined with surface magnetic field measurements,<br />

predicts active region flaring probability with a higher success rate th<strong>an</strong> <strong>an</strong>y currently<br />

used method.

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