Articles | Volume 29, issue 6
https://doi.org/10.5194/angeo-29-965-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/angeo-29-965-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
01 Jun 2011
Data derived NARMAX Dst model
R. J. Boynton
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK
M. A. Balikhin
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK
S. A. Billings
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK
A. S. Sharma
Department of Astronomy, University of Maryland, College Park, MD, USA
O. A. Amariutei
Geophysical Research, Finnish Meteorological Institute, Helsinki, Finland
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46 citations as recorded by crossref.
- Prediction of the Dst Index and Analysis of Its Dependence on Solar Wind Parameters Using Neural Network A. Lethy et al. 10.1029/2018SW001863
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- Forecasting of global data‐binning parameters for high‐resolution empirical geomagnetic field models M. Sitnov et al. 10.1029/2012SW000783
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- Forecasting the Dst Index with Temporal Convolutional Network and Integrated Gradients J. Liu et al. 10.1007/s11207-024-02340-9
- Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach M. Chandorkar et al. 10.1002/2017SW001627
- Space Weather Effects Produced by the Ring Current Particles N. Ganushkina et al. 10.1007/s11214-017-0412-2
- Forecasting the Dst index using a swarm‐optimized neural network J. Lazzús et al. 10.1002/2017SW001608
- Forecasting of SYMH and ASYH indices for geomagnetic storms of solar cycle 24 including St. Patrick’s day, 2015 storm using NARX neural network A. Bhaskar & G. Vichare 10.1051/swsc/2019007
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- Can We Estimate the Intensities of Great Geomagnetic Storms (ΔSYM-H ≤ −200 nT) with the Burton Equation or the O’Brien and McPherron Equation? M. Zhao et al. 10.3847/1538-4357/ac50a8
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- Geomagnetic storm forecasting service StormFocus: 5 years online T. Podladchikova et al. 10.1051/swsc/2018017
- Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks F. Siciliano et al. 10.1029/2020SW002589
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- Assessing Dst prediction models for forecasting the geoeffectiveness of ICME structures S. Balan et al. 10.1007/s12036-025-10082-8
- Statistical Prediction of Dst Index by Solar Wind Data and <inline-formula> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula>-Distributions P. Qin & R. Nishii 10.1109/TPS.2015.2485661
- Dependence of geomagnetic activity during magnetic storms on solar-wind parameters for different types of streams: 4. Simulation for magnetic clouds N. Nikolaeva et al. 10.1134/S0016793214020145
- Features of turbulent cascade development in the magnetosheath during ICME L. Rakhmanova et al. 10.12737/szf-113202502
- Decoding solar wind-magnetosphere coupling M. Beharrell & F. Honary 10.1002/2016SW001467
- Exploring Three Recurrent Neural Network Architectures for Geomagnetic Predictions P. Wintoft & M. Wik 10.3389/fspas.2021.664483
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