EPISODE · Jul 10, 2024 · 49 MIN
Using AI to Study Weather & Climate
from Weather Geeks
Guest: Campbell Watson, Senior Research Scientist at IBM ResearchAs 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.Chapters00:00 Introduction to AI in Meteorology and Climatology01:35 Campbell Watson's Background and Interest in Weather04:18 The Use of AI in Weather Forecasting05:24 The Evolution of AI in Weather Forecasting06:26 Understanding AI at its Core08:09 Difference Between AI and Conventional Weather Model Forecasting10:44 The Difference Between AI and Conventional Weather Model Forecasting13:31 AI Models Learning from Weather Models20:30 Foundation Models and Unsupervised Learning25:12 Verification of AI in Weather Forecasting27:57 The Robustness of AI Models28:24 Learning from Observations29:23 AI Models Learning from Observations30:09 The Importance of Observations30:38 Comparing Deep Learning and AI with Traditional Weather Forecasting Models35:38 Trustworthiness in AI Forecasting36:12 Adopting AI in Weather Forecasting41:46 Nowcasting with AI44:03 AI in Climate Forecasting47:38 The Future of AI in Weather ForecastingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
What this episode covers
In this conversation, Jen Carfagno and Campbell Watson discuss the use of artificial intelligence (AI) in meteorology and climatology. They explore Campbell's background and interest in weather, as well as his work at IBM Research. They delve into the difference between AI and conventional weather model forecasting, and how AI models learn from weather models. They also discuss the use of AI in weather forecasting, including the Graphcast model. The conversation concludes with a discussion on foundation models and the verification of AI in weather forecasting. In this conversation, Campbell Watson discusses the robustness of AI models and how they can improve weather forecasting. He explains the importance of learning from observations and how AI models can learn from historical data to make more accurate forecasts. Watson also discusses the challenges of integrating AI models with traditional weather forecasting models and the potential for AI to improve nowcasting and climate forecasting. He emphasizes the need for trustworthiness in AI forecasting and the importance of effectively communicating probability in weather forecasts. Overall, Watson is excited about the future of AI in weather forecasting and its potential to make forecasts more accurate and easier for forecasters.
NOW PLAYING
Using AI to Study Weather & Climate
No transcript for this episode yet
Similar Episodes
May 30, 2026 ·188m
Apr 30, 2026 ·110m
Apr 2, 2026 ·10m
Mar 30, 2026 ·78m
Mar 9, 2026 ·22m