AI for Climate Risk

From CRL Wiki
Revision as of 00:09, 16 October 2024 by Admin (talk | contribs)
Jump to navigation Jump to search

AI Foundation Model for Weather and Climate

  • Prithvi WxC(open-source) In collaboration with NASA, IBM built a general-purpose AI foundation model that could be customized for a range of practical weather and climate applications, at varying spatial scales. Potential applications include creating targeted forecasts from local weather data, predicting extreme weather events, improving the spatial resolution of global climate simulations, and improving the representation of physical processes in conventional weather and climate models.
  • Aurora A foundation model developed by Microsoft that can do high-resolution (11-km) weather forecast and even air pollution forecast.

Weather forecast

  • GraphCast Global weather forecast model developed by Google DeepMind.
  • Panggu(open-source) Global weather forecast model developed by Huawei, China
  • Fuxi(open-source) Global weather forecast model developed by Fudan University, China

Climate Downscaling

Climate Risk Forecasting

AI for Wildfire Risk

AI for Flooding Risk

AI for exposure