One of the after action reports I saw after Isaias made landfall was that Google’s AI based weather model performed better than most of the traditional numerical models that scientists use. After a moment of reflection on this news, I had one reaction.
Duh.
Discussions of AI are everywhere and are sure to enflame emotions the more you think about it. So let’s talk about what AI is, or at least what it comes from: advances in computer hardware, which in turn leads to faster computing. From a societal or economic standpoint, I’m not an expert on what that would mean. From a meteorology perspective, though, it’s a boon.
Numerical models have existed as long as meteorology has been around. They weren’t particularly useful until computers reduced the time it took to compute the equations that were plugged into the model. The first models were calculated by hand and took 6 weeks to put together. They were more diagnostic than prognostic.
Models have continued to get better and better as computing has gotten better and better. It makes logical sense that the Google AI model, using the best computing software available, should be even better. There are a few caveats to that, however.
First, meteorology will forever be held back by A) a lack of available observations. There simply aren’t enough observations at the surface and certainly not enough aloft to perfectly encompass the atmosphere and calculate it successfully. Even if we did, B) there aren’t enough known equations to solve for all the variables that go into a forecast. There will always be a bit of mystery.
Caveat number two, is that Google AI wasn’t the only one to accurately forecast a more eastward track than most other outlets indicated. For example, there was me. I’m not trying to brag (yes, I am) I am just trying to note that there will always be room for common sense assessments of the weather. There always needs to be someone to communicate, especially in dangerous situations, or situations that aren’t as dangerous as the unfamiliar might believe.
Having the ability to run many more calculations in a much faster time is the essence of building better weather model. I’m an AI skeptic about a lot of things, however meteorology is a perfect use case for it. The ability to run more equations in a shorter time will allow for better model resolution, which in turn can mean better forecasts and increased safety. The compute power of AI is a positive development.
I’m still not getting in a self driving car, though.





