Astronomy and Astrophysics – Astrophysics
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufmsh11b1661l&link_type=abstract
American Geophysical Union, Fall Meeting 2010, abstract #SH11B-1661
Astronomy and Astrophysics
Astrophysics
[7509] Solar Physics, Astrophysics, And Astronomy / Corona, [7534] Solar Physics, Astrophysics, And Astronomy / Radio Emissions, [7924] Space Weather / Forecasting, [7999] Space Weather / General Or Miscellaneous
Scientific paper
The major drivers of space weather are closely related to complicated explosion-like events on the Sun, i.e., solar flares and coronal mass ejections (CME). They are usually accompanied by type II and III solar radio bursts. Both type II and III solar radio bursts are assumed to be generated by fast electrons, the emission being at the local plasma frequency and/or its second harmonic. Type II radio bursts are associated with shock waves moving through the corona and solar wind with a typical speed of ~1000 km/s. These bursts have dynamic spectra with frequency gradually falling with time (~0.25 MHz/s), the duration of the coronal burst being several minutes. The speed of electrons responsible for type III bursts is much higher, ~c/3, where c is the speed of light, and typical duration of coronal type III events is 1-3 s. This paper describes an implementation of ARBIS 3, an extended version of Automated Radio Burst Identification System. ARBIS 3 detects coronal type II and type III radio bursts in near-real-time radio spectra from two observatories: Learmonth and Culgoora. The performance of the current implementation is quite high: ~84% for type III events observed at Learmonth and ~80% for type II bursts for both observatories. The probability of false type II events is reasonably low, 0.004-0.010 false positives per hour. The speeds of shocks associated with detected type II bursts are automatically estimated from radio data. For comparison, ARBIS 3 also shows information about CMEs detected by CACTUS in images from LASCO, as well as X-ray fluxes measured by GOES. Comparison of radio-derived results with information about CMEs and X-ray flares facilitates interpretation of radio data and space weather forecasting. Prospects for further improvements are discussed.
Cairns Iver H.
Lobzin Vasili
Patterson Garth
Robinson Adam P.
Steward Graham
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