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