Progress in solar cycle predictions: Sunspot cycles 24–25 in perspective: Invited review
D Nandy - Solar Physics, 2021 - Springer
The dynamic activity of the Sun—sustained by a magnetohydrodynamic dynamo mechanism
working in its interior—modulates the electromagnetic, particulate, and radiative …
working in its interior—modulates the electromagnetic, particulate, and radiative …
Solar cycle prediction
K Petrovay - Living Reviews in Solar Physics, 2020 - Springer
A review of solar cycle prediction methods and their performance is given, including early
forecasts for Cycle 25. The review focuses on those aspects of the solar cycle prediction …
forecasts for Cycle 25. The review focuses on those aspects of the solar cycle prediction …
Forecasting sunspot time series using deep learning methods
Abstract To predict Solar Cycle 25, we used the values of sunspot number (SSN), which
have been measured regularly from 1749 to the present. In this study, we converted the SSN …
have been measured regularly from 1749 to the present. In this study, we converted the SSN …
On the prediction of solar cycles
V Courtillot, F Lopes, JL Le Mouël - Solar Physics, 2021 - Springer
This article deals with the prediction of the upcoming solar activity cycle, Solar Cycle 25. We
propose that astronomical ephemeris, specifically taken from the catalogs of aphelia of the …
propose that astronomical ephemeris, specifically taken from the catalogs of aphelia of the …
Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique
In the current work we have used the deep learning based long short-term memory model to
predict the strength and peak time of solar cycle 25 by employing the monthly smoothed …
predict the strength and peak time of solar cycle 25 by employing the monthly smoothed …
Predictions of solar cycle 24: How are we doing?
WD Pesnell - Space Weather, 2016 - Wiley Online Library
Predictions of solar activity are an essential part of our Space Weather forecast capability.
Users are requiring usable predictions of an upcoming solar cycle to be delivered several …
Users are requiring usable predictions of an upcoming solar cycle to be delivered several …
Forecasting of sunspot time series using a hybridization of ARIMA, ETS and SVM methods
Solar activity directly influences the heliospheric environment and lives on the Earth.
Sunspot number (SN) is one of the most crucial and commonly predicted solar activity …
Sunspot number (SN) is one of the most crucial and commonly predicted solar activity …
A Hybrid Regression‐Neural Network (HR‐NN) method for forecasting the solar activity
The Sun is the major driver of space weather events, and as a result, most applications
requiring modeling/forecasting of space weather phenomena depend largely on the …
requiring modeling/forecasting of space weather phenomena depend largely on the …
Prediction of amplitude and timing of solar cycle 25
P Chowdhury, R Jain, PC Ray, D Burud, A Chakrabarti - Solar Physics, 2021 - Springer
We study the geomagnetic activity Ap-index in relation to sunspot number and area for the
interval covering Solar Cycles 17 to 24 (1932–2019), in view of the availability of data for the …
interval covering Solar Cycles 17 to 24 (1932–2019), in view of the availability of data for the …
[HTML][HTML] Long-term solar variability: ISWAT S1 cluster review for COSPAR space weather roadmap
Abstract The Committee on Space Research (COSPAR) is updating its Roadmap on Space
Weather. As input for this update, the COSPAR International Space Weather Action Teams …
Weather. As input for this update, the COSPAR International Space Weather Action Teams …