AI for Climate Risk: Difference between revisions
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==== AI Foundation Model for Weather and Climate ==== | ==== AI Foundation Model for Weather and Climate ==== | ||
* [https://huggingface.co/papers/2409.13598 Prithvi WxC] 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. | * [https://huggingface.co/papers/2409.13598 '''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. | ||
* [https://arxiv.org/abs/2405.13063 Aurora] A foundation model developed by Microsoft that can do high-resolution (11-km) weather forecast and even air pollution forecast. | * [https://arxiv.org/abs/2405.13063 '''Aurora'''] A foundation model developed by Microsoft that can do high-resolution (11-km) weather forecast and even air pollution forecast. | ||
Weather forecast | Weather forecast | ||
* [https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/ '''GraphCast'''] Global weather forecast model developed by Google DeepMind. | |||
* [https://github.com/198808xc/Pangu-Weather '''Panggu'''](open-source) Global weather forecast model developed by Huawei, China | |||
* '''[https://github.com/tpys/FuXi Fuxi]'''(open-source) Global weather forecast model developed by Fudan University, China | |||
Climate Downscaling | Climate Downscaling | ||
Revision as of 00:09, 16 October 2024
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