Validation of the CME Geomagnetic Forecast Alerts Under the COMESEP Alert System |
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| Authors: | Mateja Dumbovi? Nandita Srivastava Yamini K Rao Bojan Vr?nak Andy Devos Luciano Rodriguez |
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| Institution: | 1.Hvar Observatory, Faculty of Geodesy,University of Zagreb,Zagreb,Croatia;2.Institute of Physics,University of Graz,Graz,Austria;3.Udaipur Solar Observatory,Physical Research Laboratory,Udaipur,India;4.Centre for Excellence in Space Sciences,Kolkata,India;5.Solar-Terresterial Center of Excellence – SIDC,Royal Observatory of Belgium (ROB),Brussels,Belgium;6.Indian Institute of Technology (BHU),Varanasi,India |
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| Abstract: | Under the European Union 7th Framework Programme (EU FP7) project Coronal Mass Ejections and Solar Energetic Particles (COMESEP, http://comesep.aeronomy.be ), an automated space weather alert system has been developed to forecast solar energetic particles (SEP) and coronal mass ejection (CME) risk levels at Earth. The COMESEP alert system uses the automated detection tool called Computer Aided CME Tracking (CACTus) to detect potentially threatening CMEs, a drag-based model (DBM) to predict their arrival, and a CME geoeffectiveness tool (CGFT) to predict their geomagnetic impact. Whenever CACTus detects a halo or partial halo CME and issues an alert, the DBM calculates its arrival time at Earth and the CGFT calculates its geomagnetic risk level. The geomagnetic risk level is calculated based on an estimation of the CME arrival probability and its likely geoeffectiveness, as well as an estimate of the geomagnetic storm duration. We present the evaluation of the CME risk level forecast with the COMESEP alert system based on a study of geoeffective CMEs observed during 2014. The validation of the forecast tool is made by comparing the forecasts with observations. In addition, we test the success rate of the automatic forecasts (without human intervention) against the forecasts with human intervention using advanced versions of the DBM and CGFT (independent tools available at the Hvar Observatory website, http://oh.geof.unizg.hr ). The results indicate that the success rate of the forecast in its current form is unacceptably low for a realistic operation system. Human intervention improves the forecast, but the false-alarm rate remains unacceptably high. We discuss these results and their implications for possible improvement of the COMESEP alert system. |
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