Results 11 to 20 of about 164,385 (278)
The solar cycle is reviewed. The 11-year cycle of solar activity is characterized by the rise and fall in the numbers and surface area of sunspots. A number of other solar activity indicators also vary in association with the sunspots including; the 10.7
David H. Hathaway
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A Dynamo-Based Prediction of Solar Cycle 25 [PDF]
15 pages, 4 ...
Guo, Wei, Jiang, Jie, Wang, Jing-Xiu
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An Updated Solar Cycle 25 Prediction With AFT: The Modern Minimum
Over the last decade there has been mounting evidence that the strength of the Sun's polar magnetic fields during a solar cycle minimum is the best predictor of the amplitude of the next solar cycle.
Lisa A. Upton, David H. Hathaway
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The Solar Cycle is reviewed. The 11-year cycle of solar activity is characterized by the rise and fall in the numbers and surface area of sunspots. We examine a number of other solar activity indicators including the 10.7 cm radio flux, the total solar ...
David H. Hathaway
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Geomagnetic activity recurrences for predicting the amplitude and shape of solar cycle n. 25
Predicting solar activity is one of the most challenging topics among the various Space Weather and Space Climate issues. In the last decades, the constant enhancement of Space Climate data improved the comprehension of the related physical phenomena and
Diego Piero, Laurenza Monica
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Solar Cycle 25 Prediction Using N-BEATS
Solar activities lead to Sun variation with an 11 yr periodicity. The periodic variation affects space weather and heliophysics research. So it is important to accurately predict solar cycle variations. In this paper, we predicted the ongoing Solar Cycle
Xu Su +4 more
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Predicting Solar Cycle 24 With a Solar Dynamo Model [PDF]
10 pages 1 table 3 ...
Choudhuri, Arnab Rai +2 more
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A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations [PDF]
Studies concerning solar–terrestrial connections over the last decades claim to have found evidence that the quasi-decadal solar cycle can have an influence on the dynamics in the middle atmosphere in the Northern Hemisphere (NH) during the winter season.
T. C. Spiegl +3 more
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A Deep Learning Model Based on Multi-Head Attention for Long-Term Forecasting of Solar Activity
The accurate long-term forecasting of solar activity is crucial in the current era of space explorations and in the study of planetary climate evolution.
Adriana Marcucci +3 more
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Complex Network Study of Solar Magnetograms
In this paper, we study solar magnetic activity by means of a complex network approach. A complex network was built based on information on the space and time evolution of sunspots provided by image recognition algorithms on solar magnetograms taken ...
Víctor Muñoz, Eduardo Flández
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