Comparison of Automated Flare Location Algorithm Results to Solar Truth
Abstract
Accurate and timely detection of solar flares and determination of their heliocentric coordinates are key requirements for space weather forecasting. We report the results of a study to compare the results of multiple algorithms for automated determination of flare locations to "solar truth". The XFL algorithm determines flare locations in near real-time using GOES-12 SXI image data, and is triggered by GOES-12 XRS flare detections. We also consider H-alpha flare locations reported in the FLA data set, and the Latest Events (LEV) locations produced by LMSAL, based on GOES-12 SXI or SOHO EIT observations. We compare the results of each of these algorithms to solar truth heliocentric flare locations determined from analysis of GOES-12 SXI images of several hundred flares of C class and higher, during periods of high, moderate, and low solar activity between 2003 and 2006. We also compare the relative effectiveness of each of these algorithms for determining flare locations in near real-time, considering both timeliness and accuracy of the reported flare locations.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2008
- Bibcode:
- 2008AGUFMSA51A1534P
- Keywords:
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- 7519 Flares;
- 7924 Forecasting (2722);
- 7974 Solar effects