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Impressive. However, I don't like how AI foundation models are always advertised as alternatives to "traditional" (physics based) forecasting. Virtually all AI
by sieste 1y ago
Impressive. However, I don't like how AI foundation models are always advertised as alternatives to "traditional" (physics based) forecasting. Virtually all AI weather models are trained on ERA5 reanalysis, which is a blend of observations and numerical model forecasts. Without a good global numerical model of the atmosphere there would be no AI model. I wish this synergy were emphasised more, rather than always going straight for the easy "AI beats physics!!1!" headline.
- xpe 1y agoI agree… the public and leaders need to know how the training data is generated: a combination of sensors and physics-based simulation models. Lacking this context could lead to poor decisions around research prioritization and funding.
- tndl 1y agoThings are changing quickly in this area. Several projects/companies working on AI data assimilation (an alternative route to creating analysis data like ERA5)[0]. Also a lot of companies working on the data collection side, replacing/augmenting government data collection. Spire's an example of this in the space domain, and Windborne and Sorcerer (my company) do weather balloons. [0]: E.g. Brightband's AIDA (https://www.brightband.com/blog/aida/ https://www.brightband.com/blog/aida/) and Project Aardvark (https://www.turing.ac.uk/blog/project-aardvark-reimagining-ai-weather-prediction https://www.turing.ac.uk/blog/project-aardvark-reimagining-a...)