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Ground-based Observations of the Solar Sources of Space Weather (Invited Review)

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 Added by Astrid Veronig
 Publication date 2016
  fields Physics
and research's language is English




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Monitoring of the Sun and its activity is a task of growing importance in the frame of space weather research and awareness. Major space weather disturbances at Earth have their origin in energetic outbursts from the Sun: solar flares, coronal mass ejections and associated solar energetic particles. In this review we discuss the importance and complementarity of ground-based and space-based observations for space weather studies. The main focus is drawn on ground-based observations in the visible range of the spectrum, in particular in the diagnostically manifold H$alpha$ spectral line, which enables us to detect and study solar flares, filaments, filament eruptions, and Moreton waves. Existing H$alpha$ networks such as the GONG and the Global High-Resolution H$alpha$ Network are discussed. As an example of solar observations from space weather research to operations, we present the system of real-time detection of H$alpha$ flares and filaments established at Kanzelhohe Observatory (KSO; Austria) in the frame of the ESA Space Situational Awareness programme. During the evaluation period 7/2013 - 11/2015, KSO provided 3020 hours of real-time H$alpha$ observations at the SWE portal. In total, 824 H$alpha$ flares were detected and classified by the real-time detection system, including 174 events of H$alpha$ importance class 1 and larger. For the total sample of events, 95% of the automatically determined flare peak times lie within $pm$5 min of the values given in the official optical flares reports (by NOAA and KSO), and 76% of the start times. The heliographic positions determined are better than $pm$5$^circ$. The probability of detection of flares of importance 1 or larger is 95%, with a false alarm rate of 16%. These numbers confirm the high potential of automatic flare detection and alerting from ground-based observatories.



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79 - Steven R. Cranmer , 2017
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