volume 62 issue 4 pages 388-398

Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations

Publication typeJournal Article
Publication date2022-08-01
scimago Q3
wos Q4
SJR0.240
CiteScore1.2
Impact factor0.7
ISSN00167932, 1555645X
Space and Planetary Science
Geophysics
Abstract
A method for predicting geomagnetic storms based on the neural network digital processing of joint observations of the URAGAN muon hodoscope and the international system of neutron monitor stations has been proposed. A time series of Dst indices are used. Formulas for extrapolating model estimates of Dst indices have been developed. A fully-connected feed-forward neural network has been used. Prediction decision rule has been implemented. The probability characteristics of geomagnetic storm prediction have been estimated. An experimental study of the prediction method confirmed its effectiveness. It has been shown that the observations of the hodoscope–monitor system increased the probability of correctly predicting geomagnetic storms compared to using each of the observations separately.
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Getmanov V. G. et al. Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations // Geomagnetism and Aeronomy. 2022. Vol. 62. No. 4. pp. 388-398.
GOST all authors (up to 50) Copy
Getmanov V. G., Chinkin V. E., Sidorov R. V., Gvishiani A. D., Dobrovolskii M. N., Solov’ev A. A., Dmitrieva A. N., Kovylyaeva A. A., YASHIN I. I. Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations // Geomagnetism and Aeronomy. 2022. Vol. 62. No. 4. pp. 388-398.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1134/s0016793222040089
UR - https://doi.org/10.1134/s0016793222040089
TI - Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations
T2 - Geomagnetism and Aeronomy
AU - Getmanov, V G
AU - Chinkin, V E
AU - Sidorov, R V
AU - Gvishiani, A. D.
AU - Dobrovolskii, M N
AU - Solov’ev, A. A.
AU - Dmitrieva, A N
AU - Kovylyaeva, A A
AU - YASHIN, I. I.
PY - 2022
DA - 2022/08/01
PB - Pleiades Publishing
SP - 388-398
IS - 4
VL - 62
SN - 0016-7932
SN - 1555-645X
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Getmanov,
author = {V G Getmanov and V E Chinkin and R V Sidorov and A. D. Gvishiani and M N Dobrovolskii and A. A. Solov’ev and A N Dmitrieva and A A Kovylyaeva and I. I. YASHIN},
title = {Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations},
journal = {Geomagnetism and Aeronomy},
year = {2022},
volume = {62},
publisher = {Pleiades Publishing},
month = {aug},
url = {https://doi.org/10.1134/s0016793222040089},
number = {4},
pages = {388--398},
doi = {10.1134/s0016793222040089}
}
MLA
Cite this
MLA Copy
Getmanov, V. G., et al. “Geomagnetic Storm Prediction Based on the Neural Network Digital Processing of Joint Observations of the URAGAN Muon Hodoscope and Neutron Monitor Stations.” Geomagnetism and Aeronomy, vol. 62, no. 4, Aug. 2022, pp. 388-398. https://doi.org/10.1134/s0016793222040089.