Sorry if this adverts the discussion, but where are we with AI in weather prediction? It seems to me that we're mostly still using an older model with scientists analyzing models to find patterns, but machine learning and weather forecasting seems like a big field for AI improvements.
I don't think we need AI to do forecasts, because we can already do a direct simulation of all the parameters at once. Sure, it takes a supercomputer, but there's enough money in to to still be profitable. So why take shortcuts?
I was under the impression that weather models are at least partially chaotic. Is this not so?
In such systems, even if we have a perfect model we cannot know the initial conditions with sufficient accuracy to make reliable long term predictions. This is not just a limit of our current technology, but a property of chaotic systems. If weather is a chaotic system, then we will never make serious progress beyond short term forecasts.
... you can get 'attractors', basins in the dynamics. If either several different models, or slightly tweaked starts with the same model give you the same or similar-enough answers, then you know you've stumbled into a basin by luck. Small errors aren't going to change much. If your outcomes are different though, then you know that the weather from that starting state is very sensitive and unpredictable.
A change in the initial conditions might make a change in the result, but it isn't guaranteed to. At least not any noticeable change in the next few days, weeks, even months. So if you find that, for most of the possible current conditions, the end result is mostly the same, you can have a good probability of being right.
Someone should sponsor a contest to develop a weather forecasting algorithm like Netflix did for their movie preferences algorithm. Verifying the answer should not be hard! :)
“Only about 15% of what we do is traditional forecast meteorology,” says CEO Bill Kirk
I once had a brief conversation with a meteorology student about this. The idea of learning a model from example data seemed foreign to him. It seemed to me that there could be things to improve by applying ML algorithms.
