No as has already been answered. The example I can directly think of is modelling of specific weather patterns across Australia. A model that works in predicting weather 2 weeks out may work today but not work so well in 5 years.

Global Warming is happening, that is not just a realm of modelling but is directly observable today. The models on a broad scale look to be working very well, specific locations and reactions not so much.

It is possible to make broad engines that work but also get the finer details wrong. Signal : Noise ratio and all of that.