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Keyword: atmospheric dynamics ×Clear all

3 claims from 2 papers

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

   Chen, Han, Gong et al. · arXiv (Cornell University) · 2023

   FengWu is an AI weather forecasting system trained on 39 years of ERA5 data; in 2018 hindcasts it beat GraphCast on most predictands and extended skilful forecasts to 10.75 days.

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   1. UncheckedThe authors report that each forecasting step of FengWu takes only about 600 milliseconds to run on NVIDIA Tesla A100 hardware.“In addition, the inference cost of each iteration is merely 600ms on NVIDIA Tesla A100 hardware.”
   2. UncheckedThe paper suggests FengWu, an AI model, extends skilful global medium-range weather forecasts to 10.75 days, judged by z500 ACC above 0.6.“The results suggest that FengWu can significantly improve the forecast skill and extend the skillful global medium-range weather forecast out to 10.75 days lead (with ACC of z500 > 0.6) for the first time.”

2. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   How artificial intelligence is transforming weather forecasting for the future

   Huang and Bin Chen · Chinese Science Bulletin (Chinese Version) · 2024

   A review of AI in weather forecasting, arguing that AI and numerical models have complementary strengths and that the field's future lies in integrating the two.

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   1. UncheckedThe authors say AI can help build combined forecasting methods that draw on several models to give more robust weather predictions.“Additionally, AI can facilitate the development of integrated forecasting methods that leverage multiple models for more robust predictions.”