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42. David Stainforth on climate models and uncertainty

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Manage episode 394271772 series 3001416
Content provided by Jesse Reynolds and Pete Irvine, Jesse Reynolds, and Pete Irvine. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jesse Reynolds and Pete Irvine, Jesse Reynolds, and Pete Irvine 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.

David Stainforth is a Professorial Research Fellow at the London School of Economics. David has had a long career studying the climate problem and the challenges of making predictions of future climate change. His research spans the philosophy of climate science, climate economics, climate modelling, and decision-making under deep uncertainty.

In this episode, we discuss David’s new book ‘Predicting our climate future’, exploring the challenges of making predictions about future climate change, and navigating this uncertainty to address climate problems.
Links:

Support the Show.

Subscribe for email updates

  continue reading

Chapters

1. 42. David Stainforth on climate models and uncertainty (00:00:00)

2. Intro and background (00:00:33)

3. Main messages of 'Predicting our Climate Future' (00:01:27)

4. Weather vs Climate prediction models (00:07:35)

5. Will we ever be certain that our climate models are “correct”? (00:11:25)

6. The Butterfly effect (00:13:40)

7. Can’t higher resolution models fix all our uncertainty problems? (00:18:27)

8. Shortfalls of current inter-model comparisons (00:21:32)

9. When did anthropogenic climate change become certain? (00:24:39)

10. Can climate models inform climate adaptation and policy decisions? (00:27:56)

11. What’s the one thing you’d improve on current climate modelling? (00:33:35)

12. It’s an interdisciplinary problem (00:36:08)

13. What gives you optimism? (00:39:50)

52 episodes

Artwork
iconShare
 
Manage episode 394271772 series 3001416
Content provided by Jesse Reynolds and Pete Irvine, Jesse Reynolds, and Pete Irvine. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jesse Reynolds and Pete Irvine, Jesse Reynolds, and Pete Irvine 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.

David Stainforth is a Professorial Research Fellow at the London School of Economics. David has had a long career studying the climate problem and the challenges of making predictions of future climate change. His research spans the philosophy of climate science, climate economics, climate modelling, and decision-making under deep uncertainty.

In this episode, we discuss David’s new book ‘Predicting our climate future’, exploring the challenges of making predictions about future climate change, and navigating this uncertainty to address climate problems.
Links:

Support the Show.

Subscribe for email updates

  continue reading

Chapters

1. 42. David Stainforth on climate models and uncertainty (00:00:00)

2. Intro and background (00:00:33)

3. Main messages of 'Predicting our Climate Future' (00:01:27)

4. Weather vs Climate prediction models (00:07:35)

5. Will we ever be certain that our climate models are “correct”? (00:11:25)

6. The Butterfly effect (00:13:40)

7. Can’t higher resolution models fix all our uncertainty problems? (00:18:27)

8. Shortfalls of current inter-model comparisons (00:21:32)

9. When did anthropogenic climate change become certain? (00:24:39)

10. Can climate models inform climate adaptation and policy decisions? (00:27:56)

11. What’s the one thing you’d improve on current climate modelling? (00:33:35)

12. It’s an interdisciplinary problem (00:36:08)

13. What gives you optimism? (00:39:50)

52 episodes

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