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Localized Magnetic Substorm Forecasting using Machine Learning
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  • Pascal Sado,
  • Lasse Boy Novock Clausen,
  • Wojciech Jacek Miloch,
  • Hannes Nickisch
Pascal Sado
University of Oslo

Corresponding Author:pascal.sado@fys.uio.no

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Lasse Boy Novock Clausen
University of Oslo
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Wojciech Jacek Miloch
University of Oslo
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Hannes Nickisch
Philips Research
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We use a prevailed technique to extract image features and classify 4 seasons of aurora all sky images, combine these with Solar wind and interplanetary magnetic field (IMF) data and use this as a basis to forecast the onset of geomagnetic substorms local to the imager. To prove the viability of our model, we successfully reproduce the results of a previous study which used only Solar wind and IMF data to forecast global substorm onsets. Although this viability test proves successful and we independently confirm the previous model, our expanded model fails to deliver the necessary performance required for it to be used for accurate localised substorm forecasting.
12 May 2023Submitted to ESS Open Archive
13 May 2023Published in ESS Open Archive