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161
Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM)
Published 2025-01-01“…The L1 observations are used to constrain the model of the solar wind background into which the CME is launched. …”
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162
Why are ELEvoHI CME Arrival Predictions Different if Based on STEREO‐A or STEREO‐B Heliospheric Imager Observations?
Published 2021-03-01“…An estimate of the ambient solar wind conditions is obtained by the Wang‐Sheeley‐Arge/Heliospheric Upwind eXtrapolation (WSA/HUX) model combination that serves as input to ELEvoHI. …”
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163
On the Considerations of Using Near Real Time Data for Space Weather Hazard Forecasting
Published 2022-07-01“…We find that the DSCOVR NRT data are generally more continuous, though they have been available for small fraction of a solar cycle and therefore DSCOVR has experienced a limited range of solar wind conditions. We find that short gaps are the most common, and are most frequently found in the plasma data. …”
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164
Effect of Ap-Index of Geomagnetic Activity on S&P 500 Stock Market Return
Published 2019-01-01“…Geomagnetic activity with global influence is an essential object of space weather research and is a significant link in the section of the solar wind-magnetospheric coupling process. Research so far provides strong evidence that geomagnetic activity affects stock investment decisions by influencing human health, mood, and human behaviours. …”
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165
Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model
Published 2022-01-01“…In this paper, we develop an optimal placement of solar-wind energy systems using restricted Boltzmann machine (RBM). …”
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166
Chromospheric Jets and Their Properties
Published 2022-04-01“…The chromosphere and transition region are the interface between the solar photosphere and the corona, which plays a key role in the formation and acceleration of the solar wind. In recent years, scientists have made great efforts to understand the mechanism of energy transfer in the solar chromosphere and corona. …”
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167
Operational SYM‐H Forecasting With Confidence Intervals Using Deep Neural Networks
Published 2024-10-01“…Abstract In this study, we develop a robust real‐time forecast system for the SYM‐H index using Deep Neural Networks and real‐time Solar Wind measurements along with Interplanetary Magnetic Field parameters. …”
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168
Innovative Integration and Optimization of RE and Smart Energy Management Systems in Skyscrapers: Enhancing Sustainability and Energy Self-Sufficiency in Vertical Cities
Published 2025-01-01“…This paper reviews key strategies for incorporating renewable energy (RE) technologies such as solar, wind, geothermal, and hybrid systems into skyscrapers. …”
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169
Comparison of Employment Impacts of Renewable and Fossil Energy Based Electricity Sectors: The Case of Turkey
Published 2021-11-01“…The estimation is done for both manufacturing/installation and operation/maintenance phases of solar, wind, hydropower, bioenergy, geothermal, coal, petrol, and natural gas-based electricity sectors, including all of the direct, indirect, and induced effects. …”
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170
A Peculiar ICME Event in August 2018 Observed With the Global Muon Detector Network
Published 2021-03-01“…It is likely that this event became geoeffective because the flux rope was accompanied by a corotating interaction region and compressed by high‐speed solar wind following the flux rope. In fact, a Forbush decrease was observed in cosmic‐ray data inside the flux rope as expected, and a significant cosmic‐ray density increase exceeding the unmodulated level before the shock was also observed near the trailing edge of the flux rope. …”
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171
On the problem of the influence of the magnetosphere disturbance onto the rotational regime of the Earth
Published 2018-12-01“…It has been shown that the stream of solar plasma (solar wind), which is variable on its characteristics, transfers a part of its energy to the magnetosphere while interacting with it. …”
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172
Magnetoacoustic Wave Dynamics and a Magnetic Null-Point
Published 2023-11-01“…The solar wind acceleration and the coronal heating are two aspects of the solar atmosphere that comprise many physical phenomena. …”
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173
Compound electron acceleration at planetary foreshocks
Published 2025-01-01“…Spacecraft frequently observe relativistic electron populations within this region, characterized by energy levels surpassing those of solar wind electrons by a factor of 10,000 or more. …”
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174
Variations of TEC Over Iberian Peninsula in 2015 Due to Geomagnetic Storms and Solar Flares
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. Multiple regression models were constructed to fit EOFs using combinations of the space weather parameters with a lag from 0 to 2 days. …”
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175
Solar Modulation of AMS-02 Daily Proton and Helium Fluxes with Modified Force-field Approximation Models
Published 2025-01-01“…Recently, the cosmic-ray experiment AMS-02 published daily fluxes of proton and helium for the period from 2011 May 20 to 2019 October 29 in the rigidity interval from about 1 to 100 GV, exhibiting fine time structures that correlate with solar wind properties on a daily basis. In this work, we employ three different modified force field approximation models to fit the data. …”
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176
Strong Relativistic Electron Flux Events in GPS Orbit
Published 2024-12-01“…However, the majority of the 50 largest flux events at L = 4.5 (30 out of 50) and L = 6.5 (37 out of 50) were associated with high speed solar wind streams from coronal holes. Both solar drivers are thus very important for relativistic electron flux enhancements in GPS orbit. …”
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177
The Value of CME Arrival Time Forecasts for Space Weather Mitigation
Published 2020-09-01“…These points are illustrated by a simple analysis of solar wind data.…”
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178
Short‐Term Prediction of the Dst Index and Estimation of Efficient Uncertainty Using a Hybrid Deep Learning Network
Published 2024-12-01“…The proposed model achieves excellent scalability by extracting representative embeddings from the Dst index time series through an encoder‐decoder framework and integrating these with external solar wind parameters via a prediction network. We utilized magnetic storm data from 1998 to 2018 to evaluate the performance of the prediction model. …”
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179
Deep Neural Networks With Convolutional and LSTM Layers for SYM‐H and ASY‐H Forecasting
Published 2021-06-01“…Their resolution, along with their relation to the solar wind parameters, makes the forecasting of the geomagnetic indices a problem that can be addressed through the use of Deep Learning, particularly using Deep Neural Networks (DNNs). …”
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180
An Interpretable Machine Learning Procedure Which Unravels Hidden Interplanetary Drivers of the Low Latitude Dayside Magnetopause
Published 2023-03-01“…A magnetopause crossings database from the Time History of Events and Macroscale Interactions during Substorms satellites and the multiple interplanetary parameters from OMNI during the period of 2007–2016 are utilized. The solar wind dynamic pressure and the interplanetary magnetic field (IMF) BZ are widely suggested as the important two interplanetary parameters that drive the MSD. …”
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