The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era

The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era

The European Union funded the FLARECAST project, that ran from January 2015 until February 2018. FLARECAST had a research-to-operations (R2O) focus, and accordingly introduced several innovations into the discipline of solar flare forecasting. FLARECAST innovations were: first, the treatment of hund...

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Bibliographic Details
Main Authors: Georgoulis Manolis K., Bloomfield D. Shaun, Piana Michele, Massone Anna Maria, Soldati Marco, Gallagher Peter T., Pariat Etienne, Vilmer Nicole, Buchlin Eric, Baudin Frederic, Csillaghy Andre, Sathiapal Hanna, Jackson David R., Alingery Pablo, Benvenuto Federico, Campi Cristina, Florios Konstantinos, Gontikakis Constantinos, Guennou Chloe, Guerra Jordan A., Kontogiannis Ioannis, Latorre Vittorio, Murray Sophie A., Park Sung-Hong, von Stachelski Samuel, Torbica Aleksandar, Vischi Dario, Worsfold Mark
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:Journal of Space Weather and Space Climate
Subjects:
sun
solar flares
solar flare forecasting
machine learning
big data
computer science
Online Access:https://www.swsc-journal.org/articles/swsc/full_html/2021/01/swsc200032/swsc200032.html

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https://www.swsc-journal.org/articles/swsc/full_html/2021/01/swsc200032/swsc200032.html

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