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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

Gani Caglar Coban - 117F336 Nolu TÜBÄ°TAK Projesi; Abd-ur Raheeem - Canakkale Onsekiz Mart University, Turkey; Huseyin Cavus - Canakkale Onsekiz Mart University, Turkey

Session: Interplanetary CMEs and Solar Particle Events


Abstract

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.



Approaching deadlines:

Registration opens:

16 July 2020

Abstract submission opens:

16 July 2020

European Space Weather Medals:

6 September 2020

Registration deadline:

25 September 2020

Registration deadline: [extended]

10 October 2020

Abstract submission deadline:

4 September 2020