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Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images
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2022
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Source: Space Weather, 20(8)
[PDF-3.33 MB]
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Journal Title:Space Weather
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Description:We present a new model for the probability that the disturbance storm time ( Dst) index exceeds −100 nT, with a lead time between 1 and 3 days. Dst provides essential information about the strength of the ring current around the Earth caused by the protons and electrons from the solar wind, and it is routinely used as a proxy for geomagnetic storms. The model is developed using an ensemble of Convolutional Neural Networks that are trained using Solar and Heliospheric Observatory (SoHO) images (Michelson Doppler Imager, Extreme ultraviolet Imaging Telescope, and Large Angle and Spectrometric Coronagraph). The relationship between the SoHO images and the solar wind has been investigated by many researchers, but these
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Source:Space Weather, 20(8)
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DOI:
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ISSN:1542-7390;1542-7390;
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Rights Information:CC BY-NC
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Compliance:Library
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