Showing 1 - 20 results of 66 for search '"solar flares"', query time: 0.08s Refine Results
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    Bayesian Inference for Solar Flare Extremes by B. Griffiths, L. Fawcett, A. C. Green

    Published 2022-03-01
    “…Abstract While solar flares are a frequent occurrence, extreme flares are much rarer events and have the potential to cause disruption to life on Earth. …”
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    Solar Flare Intensity Prediction With Machine Learning Models by Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

    Published 2020-07-01
    “…Abstract We develop a mixed long short‐term memory (LSTM) regression model to predict the maximum solar flare intensity within a 24‐hr time window 0–24, 6–30, 12–36, and 24–48 hr ahead of time using 6, 12, 24, and 48 hr of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP). …”
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    Variations of TEC Over Iberian Peninsula in 2015 Due to Geomagnetic Storms and Solar Flares by A. L. Morozova, T. V. Barlyaeva, T. Barata

    Published 2020-11-01
    “…EOFs were found to correlate well with space weather parameters characterizing solar UV and XR fluxes, number of the solar flares, parameters of the solar wind, and geomagnetic indices. …”
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    Ionospheric Response to the M‐ and X‐Class Solar Flares of 28 October 2021 Over the African Sector by John Bosco Habarulema, Mpho Tshisaphungo, Zama Thobeka Katamzi‐Joseph, Tshimangadzo Merline Matamba, Rendani Nndanganeni

    Published 2022-08-01
    “…Abstract On the 28 October 2021, a total of thirteen solar flares occurred. Of these, there were two M‐ and one X‐class solar flares while the rest fell within the C‐class category. …”
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    Improved and Interpretable Solar Flare Predictions With Spatial and Topological Features of the Polarity Inversion Line Masked Magnetograms by Hu Sun, Ward Manchester IV, Yang Chen

    Published 2021-12-01
    “…Abstract Many current research efforts undertake the solar flare classification task using the Space‐weather HMI Active Region Patch (SHARP) parameters as the predictors. …”
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