AI for Weather & Climate Forecasting Webinar Series

Webinar

Webinar 3 - AI for Extreme Weather Events Forecasting

November 18, 2025

9:00 AM - 10:00 AM (ET)

Past

Discussion

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Materials

AI for Extreme Weather Events Forecasting - Gabriele Messori [Uppsala University]
Building Trust in AI models for Extreme Weather - Amy McGovern [University of Oklahoma]

About

Historically, weather forecasts have been manually calculated based on barometric pressure, current weather conditions, and cloud cover, using data collected over time to make forecast models, identify trends, and investigate weather phenomena for a specific location. The integration of artificial intelligence (AI) into weather forecasting allows models to digest large amounts of weather data, generating timely and accurate forecasts, which can then be used by emergency services, utility companies, agriculture industries, and the general public to make decisions. This includes improving the speed and reliability of extreme weather forecasts. However, there are challenges associated with integrating AI into extreme weather forecasting models and ensuring the AI outputs are accurate and trustworthy. Through technical presentations, Dr. Gabriele Messori (Uppsala University) and Dr. Amy McGovern (University of Oklahoma) will overview how AI is being used in forecasting extreme events. A discussion, moderated by Dr. Jonathan Overpeck (University of Michigan), will follow to highlight technical challenges associated with using AI for extreme weather events forecasting, advances in AI support decision-making, and opportunities to improve forecasting moving forward.

Contact

Jasmine Victoria Bryant

jvbryant@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Webinar

Webinar 2 - Advanced AI for Earth Systems Forecasting

October 21, 2025

11:30 AM - 12:30 PM (ET)

Past

Discussion

This discussion information is being collected via Slido. Slido is not affiliated in any way with, or endorsed by, the National Academies of Sciences, Engineering, and Medicine, and your submission via the Slido website is subject to Slido’s privacy and terms of use.

Materials

About

Earth systems forecasting is a combination of short-term predictions and long-term projections about climate conditions for a particular location. The outputs of earth systems forecasting models can predict and project climate for a certain place, at a certain time. However, there exist challenges regarding collecting sufficient data for scales and filling gaps between modeled scenarios. Through technical presentations, Dr. Pierre Gentine (Columbia University) and Dr. Chris Bretherton (University of Washington) will overview the history of earth systems forecasting. A discussion, moderated by Ann Bostrom (University of Washington, National Academies AI & Climate Change Roundtable chair) will follow to elevate innovative approaches that integrate advanced AI.

Join the livestream at this link and submit your questions and comments using this link.

This webinar is the second episode of a four-part educational webinar series, an activity of the National Academies Roundtable on Artificial Intelligence & Climate Change. The webinar series is a primer for the Roundtable's upcoming workshop on accelerating climate progress with AI. The workshop will explore innovative ways AI can enhance climate science and support decision-making for resilience and mitigation and will be hosted on January 13-14, 2026 - registration is now open!

Contact

Jasmine Victoria Bryant

jvbryant@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Webinar

Webinar 1 - AI for Emulation: Weather & Earth Systems Modeling

September 23, 2025

10:00 AM - 11:15 AM (ET)

Past

Discussion

This discussion information is being collected via Slido. Slido is not affiliated in any way with, or endorsed by, the National Academies of Sciences, Engineering, and Medicine, and your submission via the Slido website is subject to Slido’s privacy and terms of use.

Materials

About

Model emulators, which are simplified versions of larger, more complex models, are used to simulate future weather and climate events, providing valuable information for both short-term forecasting and long-term climate predictions. Through technical presentations, Dr. Greg Elsaesser (National Aeronautics and Space Administration Goddard Institute for Space Studies [NASA GISS] & Columbia University) and Dr. Claudia Tebaldi (Pacific Northwest National Laboratory [PNNL]) will identify how AI can be utilized to enhance weather and climate simulations and models, highlight the overarching technical challenges associated with integrating AI, and explore the most promising applications. A discussion moderated by Stephan Sain (Jupiter Intelligence, National Academies AI & Climate Change Roundtable member) about the technical challenges that exist and potential solutions will follow. The webinar will conclude with a Q&A session with the audience.

Watch the webinar's recording and access speaker materials below.

This is the first of a four-part educational webinar series, an activity of the National Academies Roundtable on Artificial Intelligence & Climate Change. The webinar series is a primer for the Roundtable's upcoming workshop on accelerating climate progress with AI. The workshop will explore innovative ways AI can enhance climate science and support decision-making for resilience and mitigation and will be hosted on January 13-14, 2026 - registration is now open!

Contact

Jasmine Victoria Bryant

jvbryant@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

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AI for Weather & Climate Forecasting Webinar Series

Dropdown items

Webinar 3 - AI for Extreme Weather Events Forecasting

Webinar 2 - Advanced AI for Earth Systems Forecasting

Webinar 1 - AI for Emulation: Weather & Earth Systems Modeling