Prediction of the Dst Geomagnetic Index Using Adaptive Methods-Reference-Cited by-同舟云学术

Prediction of the Dst Geomagnetic Index Using Adaptive Methods

Published:2021-03 Issue:3 Volume:46 Page:157-162
ISSN:1068-3739
Container-title:Russian Meteorology and Hydrology
language:en
Short-container-title:Russ. Meteorol. Hydrol.

Author:

Myagkova I. N.,Shirokii V. R.,Vladimirov R. D.,Barinov O. G.,Dolenko S. A.

Publisher

Allerton Press

Subject

Atmospheric Science,Fluid Flow and Transfer Processes,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.3103/S1068373921030031.pdf

Reference33 articles.

1. N. A. Barkhatov, A. E. Levitin, and G. A. Ryabkova, “Artificial Neural Networks for Predicting Geomagnetic Activity Indices Based on Near-Earth Space Parameters,” in Solar-terrestrial Physics, No. 2 (Irkutsk, 2002) [in Russian].

2. B. M. Vladimirskii and N. A. Temur’yants, Effects of Solar Activity on the Biosphere–Noosphere (MNEPU, Moscow, 2000) [in Russian].

3. Yu. I. Ermolaev and M. Yu. Ermolaev, “Solar and Interplanetary Sources of Geomagnetic Storms: Space Weather Aspects,” Geofizicheskie Processy i Biosfera, No. 1, 8 (2009) [in Russian].

4. A. O. Efitorov, I. N. Myagkova, V. R. Shirokii, and S. A. Dolenko, “The Prediction of the Dst Index Based on Machine Learning Methods,” Kosmicheskie Issledovaniya, No. 6, 56 (2018) [Cosmic Res., No. 6, 56 (2018)].

5. L. L. Lazutin, Global and Polar Magnetic Storms (MGU, Moscow, 2012) [in Russian].

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