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Technology

Time: 2024-10-11

Solar Flare Breakthrough: The Carrington Event and Modern Readiness

Solar Flare Breakthrough: The Carrington Event and Modern Readiness
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The Carrington Event : A historical solar Flare

In 1859, the Carrington Event, the large Solar flare ever record, happen. solar flare are explosion of electromagnetic radiation from the sun surface, classified_ad by strength-angstrom, B, C, M, and ten-class, with the Carrington Event retrospectively classified_ad as an X45 class. While harmful gamma radiation can not penetrate Earth's atmosphere, other radiation type can cause radio blackout. This event light-emitting_diode to the discovery of the connection between solar flare and electronic malfunction. Since then, Earth has experience a few blackout due to solar flares.

Solar Flare Breakthrough: The Carrington Event and Modern Readiness

telegraph system travel haywire globally during the Carrington Event. flicker fly from telegraph machine, and the dawn were visible as far south as the Caribbean and as far north as Chile. The dawn were so bright that they literature up the night sky like day. The event interrupt telecommunication for days, lead to discovery about sending telegraph through the charge atmosphere. scientist at NO claim such event happen once every 500 years.

consequence and readiness for a modern solar Flare

If a solar flare like the Carrington Event happen today, global communication and navigation could be severely impact, harmonize to UK government appraisal. monitoring of the sun let for warning to be publish, giving time for government to gulf from power grid and astronaut on the International Space Station to seek shelter from harmful radiation. The importance of readiness for such event is acknowledge worldwide.

challenge in Geomagnetic storm Forecasting

Geomagnetic storm prediction is crucial due to its practical deduction on electric power system and satellite. Holocene survey show that centrist storm can lead to bigger power outage compare to major storm. However, current prediction model, include advance machine learning technique, face challenge in accuracy for prognosis lead times beyond 3 hours. This restriction impede effective extenuation of infrastructure damage. continue research and promotion are necessity in achieve accurate and timely storm predictions.

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