alt Hacker NewsThey're using a graph neural network. From the article - "The team leveraged Google DeepMind's GraphCast model as an initial foundation and fine-tuned the model using NOAA's own Global Data Assimilation System analyses".
> so what’s AI about this that wasn’t AI previously?
The weather models used today are physics-based numerical models. The machine learning models from DeepMind, ECMWF, Huawei and others are a big shift from the standard, numerical approach used for the last decades.
Replies
bee_rider • yesterday at 2:53 AM
Do these ML models replace the numerical approach completely? A lot of numerical methods are iterative. If the ML model can produce a good initial guess, it might make convergence of an iterative process quite a bit quicker…
Thanks, I guess my assumption that ML was widely used in forecasting is wrong.
So are they essentially training a neural net on a bunch of weather data and getting a black box model that is expensive to train but comparatively cheap to run?
Are there any other benefits? Like is there a reason to believe it could be more accurate than a physics model with some error bars?