AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
How Do You Characterize the Uncertainty Quantification of Weather Models?
We joke about how bad weather models are and how difficult it is to predict the weather, but then a lot of people count on those predictions in very important ways. Do you characterize the failure or error of these models and compare that to the way traditional error models fail? And so we can also calibrate our weather models, AI based ones, similar and even better many times than the current numerical weather models, because they are much cheaper.