Results 21 to 30 of about 4,261,327 (287)
A Deep Learning Model Based on Multi-Head Attention for Long-Term Forecasting of Solar Activity
Engineering Proceedings, 2023 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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Prediction of solar activity on the basis of spectral characteristics of sunspot number [PDF]
Annales Geophysicae, 2004 Prediction of solar activity strength for solar cycles 23 and 24 is performed on the basis of extrapolation of sunspot number spectral components. Sunspot number data during 1933-1996 periods (solar cycles 17-22) are searched for periodicities by ...
E. Echer +4 more
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Complex Network Study of Solar Magnetograms
Entropy, 2022 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
doaj +1 more source
2015 International Joint Conference on Neural Networks (IJCNN), 2015 Accurate prediction of solar activity as one aspect of space weather phenomena is essential to decrease the damage from these activities on the ground based communication, power grids, etc. Recently, the connectionist models of the brain such as neural networks and neuro-fuzzy methods have been proposed to forecast space weather phenomena; however ...
Mahboobeh Parsapoor +2 more
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Heartbeat of the sun from principal component analysis and prediction of solar activity on a millenium timescale [PDF]
, 2015 We derive two principal components (PCs) of temporal magnetic field variations over the solar cycles 21-24 from full disk magnetograms covering about 39% of data variance, with σ = 0.67. These PCs are attributed to two main magnetic waves travelling from
Shepherd, Simon J. +10 more
core +1 more source
North–South Asymmetry in Solar Activity and Solar Cycle Prediction, IV: Prediction for Lengths of Upcoming Solar Cycles [PDF]
Solar Physics, 2019 22 pages, 4 tables, 9 figures, to be published in Solar ...
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Predictability of the Solar Cycle Over One Cycle
The Astrophysical Journal, 2018 Abstract The prediction of the strength of future solar cycles is of interest because of its practical significance for space weather and as a test of our theoretical understanding of the solar cycle. The Babcock–Leighton mechanism allows predictions by assimilating the observed magnetic field on the surface.
Jie Jiang +3 more
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Are solar cycles predictable? [PDF]
Astronomische Nachrichten, 2007 AbstractVarious methods (or recipes) have been proposed to predict future solar activity levels – with mixed success. Among these, some precursor methods based upon quantities determined around or a few years before solar minimum have provided rather high correlations with the strength of the following cycles.
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On solar cycle predictions and reconstructions [PDF]
Astronomy & Astrophysics, 2009 Generally, there are two procedures for solar cycle predictions: The empirical methods -- statistical methods based on extrapolations and precursor methods -- and methods based on dynamo models. The goal of the present analysis is to forecast the strength and epochs of the next solar cycle, to investigate proxies for grand solar minima and to ...
Brajsa, R. +7 more
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Multi-Scale Modelling of a Solar Reactor for the High-Temperature Step of a Sulphur-Iodine-Based Water Splitting Cycle [PDF]
, 2011 The 3-step sulphur-iodine-based thermochemical cycle for splitting water is considered. The high temperature step of the closed-material cycle consists of evaporation, decomposition, and reduction of sulphuric acid to SO2 using concentrated solar process
Roeb, Martin +7 more
core +2 more sources