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A paper published in Nature Geoscience yesterday uses a neural network* to fill gaps in the HadCRUT4 global temperature data set. I’m always excited to see new approaches to reconstructing historical data and this paper uses a technique that is very different from those employed by other teams that have had a go at the problem. That alone, I think, makes it valuable – it is important to explore structurally-different approaches to the problem, the better to explore structural uncertainty. Anyway, go and read it. It’s short nicely written and very accessible. Then come back here and laugh at my terrible description. Continue reading
Diagram Monkey 