I find it interesting that fluid dynamics models struggle more than weather. Intuitively, my view of weather is that it looks a lot like fluid dynamics and seems quite chaotic. Is this wrong or is it just the vast amount of recorded weather data which helps?

edit: I realised just after posting that you only mentioned climate models. It was another poster who said there were successes using ML for meteorology.