I thought this was an interesting post.
It is perhaps a viewpoint underpinned by an implicit (& apparently widespread!) assumption that the weather is a deterministic system. A deterministic system is one in which no randomness is involved in the development of future states. A deterministic model will thus always produce the same output from a given starting condition or initial state. In this context, the poster proposes that if we had the data and the computing power we could calculate what the weather would be at a future point.
But I think that we all understand innately that weather is far from deterministic. There are chaotic elements - the proverbial flap of a butterfly's wings etc. - which influence outcomes. As forecast horizons extend the scope for these to have an impact increases. Given a specific set of starting conditions, multiple outcomes are possible. The weather that we get is one realisation, but there may have been other equally plausible outcomes at the point the forecast was made.
Criticism of NWP outputs on this board (and others!) often follows a pattern. Posters will say that the models are "struggling to tie down" a feature, or that the models are "always poor in this type of setup". With the benefit of 20/20 hindsight, posters will say the model was "wrong because it failed to pick up ... [height rises over the Azores?]". Any verification gap is thus attributed to modelling weakness/failure, overlooking the possibility that something (chaotic) happened between the point at which the forecast was made and its realisation.
What is the point of all of this? I guess it's a plea for acceptance that the models aren't "searching for a solution". We shouldn't criticise them when they "flip-flop" from one outcome to another, especially where longer time periods are involved. There simply isn't one path that the models have to "lock-on" to. Weather has chaotic elements. If the models this afternoon don't show the extended cold spell they were showing yesterday it might not be because they are inaccurate. Something might well have changed!
NWP models are wonderful tools for forecasters. I'm sure that they have massively improved forecasting accuracy in recent years, and that these improvements will continue. But we should always remember that weather is not a deterministic system, and modulate our expectations and responses accordingly.
Originally Posted by: IanT