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>> we find that an exponential increase in computing power is needed to get linear improvements in these outcomes.

The scaling for weather models and FEA is not linear. To get incrementally better requires at least polynomial increases.

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"weather models" "better" - how do you actually rate weather models? Exact prediction or prediction of outliers like catastrophic events? Is there more value in knowing tomorrow's temperature to be 24C or a thunderstorm happening at 15:00 ?

There is a lot of value in predicting where a hurricane is going to hit within 100km in 36 hours. Also things like flood prediction so we can drain lakes ahead of time before the waters start rising. Giving people a forewarning saves lives.

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