Forecasting the geomagnetic activity several days in advance using neural networks driven by solar EUV imaging

G Bernoux, A Brunet, É Buchlin… - Journal of …, 2022 - Wiley Online Library
Many models of the near‐Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …
被引用次数：7 相关文章

Forecasting the Geomagnetic Activity Several Days in Advance Using Neural Networks Driven by Solar EUV Imaging.

G Bernoux, A Brunet, É Buchlin… - Journal of …, 2022 - search.ebscohost.com
Many models of the near-Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …

Forecasting the Geomagnetic Activity Several Days in Advance Using Neural Networks Driven by Solar EUV Imaging

G Bernoux, A Brunet, É Buchlin… - Journal of …, 2022 - ui.adsabs.harvard.edu
Many models of the near-Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …

Forecasting the Geomagnetic Activity Several Days in Advance Using Neural Networks Driven by Solar EUV Imaging

G Bernoux, A Brunet, É Buchlin, M Janvier… - Journal of Geophysical …, 2022 - hal.science
Many models of the near-Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …
[PDF] hal.science

[PDF][PDF] Forecasting the geomagnetic activity several days in advance using neural networks driven by solar EUV imaging

G Bernoux, A Brunet, É Buchlin, M Janvier… - Journal of Geophysical …, 2022 - hal.science
Many models of the near-Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …