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Introducing ClimaX, the first foundation model for weather and climate. A fast and accurate one-stop AI solution for a range of atmospheric science tasks.
Paper: arxiv.org/abs/2301.10343
Blog: microsoft.com/en-us/research…
Thread🧵
#ML #Climate #Weather #FoundationModel
Paper: arxiv.org/abs/2301.10343
Blog: microsoft.com/en-us/research…
Thread🧵
#ML #Climate #Weather #FoundationModel
The current approach to numerical weather and climate modeling is to simulate a system of differential equations relating the flow of energy and matter in different Earth systems. The science is good, but often computationally expensive and imperfect at longer time scales.
Fortunately, weather and climate is also a data-rich field courtesy satellites, radar, & other sensors. While numerical models do not scale with data, ML models benefit from both data & compute. What if we could distill knowledge of the Earth’s atmosphere into a large neural net?
