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Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach
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2023
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Source: Space Weather, 21(3)
[PDF-1.99 MB]
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Journal Title:Space Weather
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Description:Stream interaction region (SIR) is one of the space weather phenomena that accelerates the upstream particles of the interface region in interplanetary space and causes geomagnetic storms. SIRs are large-scale structures that vary temporally and spatially, both in latitudinal and radial directions. Predicting the arrival times of interface regions (IRs) is crucial to protect our navigation and communication systems. In this work, a 1D ensemble system comprised of a Long-short-term memory (LSTM) model and a Convolution Neural Network (CNN) model—LCNN is introduced to classify the observed IR time series and give the prediction interval nowcast of its transit time to the observer. The outcomes of the two models are combined
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Source:Space Weather, 21(3)
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DOI:
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ISSN:1542-7390;1542-7390;
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Rights Information:CC BY
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Compliance:Library
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