meta_pixel
Tapesearch Logo
Log in
Science Quickly

Improved Solar Storm Tracking Lengthens Prep Time for Tech Disruption

Science Quickly

Scientific American

Science

4.41.4K Ratings

🗓️ 2 July 2015

⏱️ 2 minutes

🧾️ Download transcript

Summary

We currently have a maximum of about 60 minutes to prepare for tech disruptions on Earth due to coronal mass ejections from the sun, but an improved forecasting system could lengthen that lead time by hours. Maria Temming reports   Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

Click on a timestamp to play from that location

0:00.0

This is scientific Americans 60 second science. I'm Maria Teming. Got a minute?

0:06.2

Our sun has a nasty habit of spitting volatile material at us. These incredibly hot

0:11.7

bubbles of magnetized material are called coronal mass ejections, or

0:15.5

CMEs, and they can hurdle towards Earth at thousands of miles per second. If one of a CME's magnetic fields

0:22.0

is aligned in just the wrong way when the ejection reaches Earth,

0:25.0

it could cause a magnetic storm that can temporarily disrupt the planet's magnetic field.

0:29.0

Such a storm has the potential to wreak havoc on technologies like GPS satellites and utility

0:34.2

grids, messing up radio transmissions and causing blackouts.

0:38.7

Currently, satellites can only tease out the orientations of magnetic fields inside and approaching

0:42.8

CME when it's already closing it on Earth. We'd have about an hour's

0:46.2

notice of an impending space storm, hardly enough time for anyone to take the

0:49.7

necessary protective measures. But a team led by space scientist Neil Savani of NASA and the University of Maryland

0:56.7

have developed a new technique that might be able to give us a lot more lead time.

1:00.6

Their model uses observations of the CME's magnetic field orientations during the initial

1:05.2

eruption and as a Koreans towards Earth, which can offer clues about what those orientations

1:09.7

will be when they get here.

1:11.5

The researchers described their work in the journal Space Weather.

1:14.5

Zavani has already tested it out his model's predictive power on eight mass

1:17.9

ejections. He claimed significant improvement over current forecasting systems. At the very least, better

1:24.1

advance warning would give people more time to finally back up their hard

1:27.1

drives before the grid goes down. Thanks for the minute. For Scientific Americans 60 Second Science, I'm Maria Taming.

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from Scientific American, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Scientific American and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.