… A key reason GraphCast can exceed HRES’s performance is … , in principle, can capture
weather phenomena, such as air … GraphCast has greater forecasting skill than Pangu-Weather …

… for global medium-range weather forecasting called “GraphCast,” which produces an accurate
10-day forecast … We find that GraphCast has greater weather forecasting skill than HRES …

… Medium-range weather prediction — forecasts … -world impact, and early results hinted that
we could potentially scale-up our approach to work at the resolutions required for GraphCast …

… , an effective deep learning model for weather forecasting. We … weather data, the task of
global weather forecasting is to … The pressure-weighted loss was first introduced by GraphCast, …

… We hypothesize that this is due to GraphCast placing greater weight on t2m during training,
… Some aspects of the improvement in skill of numerical weather prediction. Quarterly Journal …

… weather forecast learning is regarded as multi-task learning. Previous studies in the multi-task
learning … of FengWu and GraphCast for a 10-day forecast using the commonly used RMSE …

… and ability to produce a global medium-range 10-day forecast in under a minute on a Google
… learning weather prediction model. Using a frozen GraphCast, we are forwarding weather …

… to extend skillful global medium-range weather forecasts beyond … of meteorological prediction,
where AI and deep learning are … GraphCast to deliver detailed and precise medium-range …

… developed models (Pangu-Weather, GraphCast, ClimaX, and … Thuerey explored medium-range
weather forecasting through … This study first shows region-dependent skill improvement …

… the accuracy of medium-range weather forecasting. Pangu … criterion for a skillful weather
forecasting system, FengWu … GraphCast in forecasts ranging from 1 to 5 days, it surpassed …