4 ms·
You can read about it more in their paper. Specifically page 36. Their dataset, ERA5, is created using a process called reanalysis. It combines historical weat
by serjester 3y ago
You can read about it more in their paper. Specifically page 36. Their dataset, ERA5, is created using a process called reanalysis. It combines historical weather observations with modern weather models to create a consistent record of past weather conditions.
https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/Learning_skillful_medium-range_global_weather_forecasting.pdf https://storage.googleapis.com/deepmind-media/DeepMind.com/B...
- silveraxe93 3y agoAh nice. Thanks!
- deleted 3y ago[deleted]
- dekhn 3y agoI can't find the details, but if the supercomputer job only had to run once, or a few times, while this model can make accurate predictions repeatedly on unique situations, then it doesn't matter as much that a supercomputer was required. The goal is to use the supercomputer once, to create a high value simulated dataset, then repeatedly make predictions from the lower-cost models.