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]  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.
AI for Weather forecast


=== AI for Climate Downscaling ===
AI for Climate Downscaling
 
=== AI for Wildfire Risk ===


=== AI for Flooding Risk ===
==== AI for Wildfire Risk ====


=== AI for subseasonal and seasonal forecast ===
==== AI for Flooding Risk ====


=== AI for exposure ===
==== AI for exposure ====

Revision as of 23:23, 15 October 2024

AI Foundation Model for Weather and Climate

  • 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.

AI for Weather forecast

AI for Climate Downscaling

AI for Wildfire Risk

AI for Flooding Risk

AI for exposure