date: 2019-09-27T07:01:51Z
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pdf:docinfo:title: Nowcasting and Predicting the Kp Index Using Historical Values and Real-Time Observations
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subject: COMPUTATIONAL GEOPHYSICS: Data analysis: algorithms and implementation; MAGNETOSPHERIC PHYSICS: Solar wind/magnetosphere interactions, Magnetic storms and substorms, Instruments and techniques, General or miscellaneous; NATURAL HAZARDS: Space weather; SPACE WEATHER: Magnetic storms
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dc:title: Nowcasting and Predicting the Kp Index Using Historical Values and Real-Time Observations
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cp:subject: COMPUTATIONAL GEOPHYSICS: Data analysis: algorithms and implementation; MAGNETOSPHERIC PHYSICS: Solar wind/magnetosphere interactions, Magnetic storms and substorms, Instruments and techniques, General or miscellaneous; NATURAL HAZARDS: Space weather; SPACE WEATHER: Magnetic storms
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dc:description: COMPUTATIONAL GEOPHYSICS: Data analysis: algorithms and implementation; MAGNETOSPHERIC PHYSICS: Solar wind/magnetosphere interactions, Magnetic storms and substorms, Instruments and techniques, General or miscellaneous; NATURAL HAZARDS: Space weather; SPACE WEATHER: Magnetic storms
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Keywords: 10.1029/2018SW002141 and Kp index; geomagnetic activity; empirical prediction; solar wind; forecast; AI
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dc:creator: Yuri Y. Shprits, Ruggero Vasile, Irina S. Zhelavskaya
description: COMPUTATIONAL GEOPHYSICS: Data analysis: algorithms and implementation; MAGNETOSPHERIC PHYSICS: Solar wind/magnetosphere interactions, Magnetic storms and substorms, Instruments and techniques, General or miscellaneous; NATURAL HAZARDS: Space weather; SPACE WEATHER: Magnetic storms
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title: Nowcasting and Predicting the Kp Index Using Historical Values and Real-Time Observations
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dc:subject: 10.1029/2018SW002141 and Kp index; geomagnetic activity; empirical prediction; solar wind; forecast; AI
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