Re: Often modelling simply adds rigour to thought experiments
Stay there while I go find my copy of 'chaos' and load it into the pocket trebuchet i just aimed at you :-)
the reason 'cfd' is hard is that it is fundamentally chaotic, and the combination of floating point and positive feedback is what caused all the problems. high sensitivity to small variations in initial conditions, coupled with noisy data. you can't really model something like that incrementally - you can theorise, and apply limited tests under highly controlled conditions, but as soon as you try to do anything real world all bets are off.
There is still much work to be done in understanding nonlinear systems. and the current political shenanigans between the scientific and oil/coal producing industrial complex is not helping.