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Correlation between Sunspots and Interplanetary Shocks measured by WIND and Some Estimations for the 22nd Solar Cycle using Artificial Neural Network
- 117F336 Nolu TÜBİTAK Projesi; Abd-ur Raheeem - Canakkale Onsekiz Mart University, Turkey; Huseyin Cavus - Canakkale Onsekiz Mart University, Turkey
There is a correlation found between the interplanetary shocks measured by NASA’s WIND spacecraft and the sunspot numbers measured by the American Association of Variable Star Observers’ (AAVSO) and Sunspot Index and Long-term Solar Observations (SILSO)sunspot number. This is an intuitive observation as the solar activity increases during the solar maximum and decreases during the solar minimum. The shock parameters were calculated using the Cavus2013 model (Cavus, 2013). These have high correlation with the sunspot numbers. Moreover, an artificial neural network was designed and used to predict the shock parameters for the 22nd solar cycle where there is no shock data present. The correlation was increased when the predicted data was added to the actual shock data. This proves that this type of artificial neural network can be used to predict for shock parameters without the need of actual shock data but also has some limitations. The AI model needs to be fed with more data to produce better results.
16 July 2020
Abstract submission opens:
16 July 2020
European Space Weather Medals:
6 September 2020
25 September 2020
Registration deadline: [extended]
10 October 2020
Abstract submission deadline:
4 September 2020