It's odd to me that there are two separate systems being used by the US and the Europeans. I know that both models are used by meteorologists to provide the actual figures, but I'm surprised that there isn't some effort to develop joint models. Obviously a model that works well for the US may not work well for Europe or Australia, much less Russia/China/India/Japan, but this seems like the sort of thing that a combined international effort would be useful for, particularly considering that the data is all released publicly anyway.
I'm also curious how the model itself works in terms of continuous self-improvement. Weather modeling seems like the perfect thing to target some machine learning towards, considering that you have a massive number of incredibly accurate data points.
