I've been following these global ML weather models. The fact they make good forecasts at all was very impressive. What is blowing my mind is how fast they run. It takes hours on giant super computers for numerical weather prediction models to forecast the entire globe. These ML models are taking minutes or seconds. This is potentially huge for operational forecasting.
Weather forecasting has been moving focus towards ensembles to account for uncertainty in forecasts. I see a future of large ensembles of ML models being ran hourly incorporating the latest measurements
Weather forecasting has been moving focus towards ensembles to account for uncertainty in forecasts. I see a future of large ensembles of ML models being ran hourly incorporating the latest measurements