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What AI Can Teach Us About Tornadoes

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Manage episode 436602818 series 2275035
Content provided by Weather Group Television. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Weather Group Television or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Guest: Andrew Brady, Founder of AtmoSphere Analytics

To some in the meteorological industry, Artificial Intelligence or Machine Learning could seem like scary things. But as technology improves, we can learn to harness these things and use them to our advantage to help further our mission: to save lives and property from the threats that weather can pose. Our guest today is doing just that and then some! Andrew Brady has created a weather prediction model that is powered by advanced machine learning. How is he using this to forecast tornadoes and severe weather accurately from a time frame as short as 1 hour to as far out as 120 hours? Well, that’s what we’re going to geek out about today…

Chapters

  1. 00:00 The Power of Machine Learning in Weather Prediction
  2. 06:31 The Creation of MMFS and StormNet
  3. 16:16 HazCast and Real-Time Data in Severe Weather Prediction
  4. 26:10 Performance and Real-Time Evaluations of StormNet
  5. 41:18 Future Developments of StormNet

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

344 episodes

Artwork

What AI Can Teach Us About Tornadoes

Weather Geeks

128 subscribers

published

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Manage episode 436602818 series 2275035
Content provided by Weather Group Television. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Weather Group Television or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Guest: Andrew Brady, Founder of AtmoSphere Analytics

To some in the meteorological industry, Artificial Intelligence or Machine Learning could seem like scary things. But as technology improves, we can learn to harness these things and use them to our advantage to help further our mission: to save lives and property from the threats that weather can pose. Our guest today is doing just that and then some! Andrew Brady has created a weather prediction model that is powered by advanced machine learning. How is he using this to forecast tornadoes and severe weather accurately from a time frame as short as 1 hour to as far out as 120 hours? Well, that’s what we’re going to geek out about today…

Chapters

  1. 00:00 The Power of Machine Learning in Weather Prediction
  2. 06:31 The Creation of MMFS and StormNet
  3. 16:16 HazCast and Real-Time Data in Severe Weather Prediction
  4. 26:10 Performance and Real-Time Evaluations of StormNet
  5. 41:18 Future Developments of StormNet

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

344 episodes

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