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