Guest: Campbell Watson, Senior Research Scientist at IBM Research

As artificial intelligence, or AI, continues to become more pervasive in our technology, it’s only natural to wonder what it means for meteorology and climatology. Believe it or not, AI is already revolutionizing how we develop models in the Earth and Space sciences. Joining us today is Campbell Watson, a Senior Research Scientist at IBM Research, to discuss how we are creating these AI models, and the opportunities and advancements we hope to learn from using them.

Chapters

00:00 Introduction to AI in Meteorology and Climatology
01:35 Campbell Watson's Background and Interest in Weather
04:18 The Use of AI in Weather Forecasting
05:24 The Evolution of AI in Weather Forecasting
06:26 Understanding AI at its Core
08:09 Difference Between AI and Conventional Weather Model Forecasting
10:44 The Difference Between AI and Conventional Weather Model Forecasting
13:31 AI Models Learning from Weather Models
20:30 Foundation Models and Unsupervised Learning
25:12 Verification of AI in Weather Forecasting
27:57 The Robustness of AI Models
28:24 Learning from Observations
29:23 AI Models Learning from Observations
30:09 The Importance of Observations
30:38 Comparing Deep Learning and AI with Traditional Weather Forecasting Models
35:38 Trustworthiness in AI Forecasting
36:12 Adopting AI in Weather Forecasting
41:46 Nowcasting with AI
44:03 AI in Climate Forecasting
47:38 The Future of AI in Weather Forecasting

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The Sport of Storm Chasing

The Sport of Storm Chasing •
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Weather Geeks