ation is easy.
tterfly effect means that it can't match a specific situation for longer th an ten days - so it's a different ball game. Despite the whinging of the de nialist propaganda machine, it is still worth doing.
I know you know this, but for others, that is the difference between climat e an weather. Weather is asking specifics and is very chaotic and subject to the butterfly effect (not that butterfly will cause a storm, but that th e storms won't be on the same day or location). Climate is about the trend s, not specifics and is not chaotic, not subject to the butterfly effect. If anyone actually learns about chaos theory, it has great predictive abili ty for trends including the concept of strange attractors.
rocesses. The difficulty is that the systems being modelled are chaotic so you can't have accurate predictions for periods longer than about ten days.
long term models you can get a pretty accurate idea of what the climate is going to look like in the long term, which is worth doing. The denialist lo bby has a large financial interest in ignoring these results, and James Art hur and John Larkin seem happy to forget this.
Koch brothers, whose fortune depends on the fossil carbon fuel industry be ing able to keep on selling fossil carbon as fuel.
It's also not true for many models of semiconductors. There are always sho rtcuts taken because most semiconductors are not linear, so simulating them with high accuracy is tricky without tons of processing time. Most models sacrifice accuracy in one way or another, the question is which way is imp ortant to you?
Climategate files which he's been misrepresenting as a research grade cli mate simulations ever since. I've called him on it before, but he keeps on lying about it.