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Paul Barry's avatar

Thanks for the post. It's a good opener for beginners. But I think it might give the impression that the attribution process is simpler than it really is (or even that those doing these studies are simple minded!).

For example, there are always questions about the fidelity of models in reproducing certain weather and climate phenomena and this is why the results of models runs are far from decisive.

It would be nice to get a better sense of how these issues are taken into consideration: i.e. how model evidence is evaluated, which models are chosen etc. and why results may differ from observations: why it's often messy and complicated!

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Jonathan Tonkin's avatar

Great explainer. Thanks!

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