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๐ ๐๐ก๐ ๐๐ข๐ซ๐ฌ๐ญ ๐๐ฏ๐๐ซ ๐
๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฆ๐จ๐๐๐ฅ: ๐๐ซ๐ข๐ญ๐ก๐ฏ๐ข ๐๐ฑ๐ ๐๐ง๐๐๐ฅ๐๐ฌ ๐ฅ๐ข๐๐-๐ฌ๐๐ฏ๐ข๐ง๐ ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฉ๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง๐ฌ
Hurricane Katrina killed hundreds of people as it made landfall on New Orleans in 2005 - many of these deaths could have been avoided if alerts had been given one day earlier. Accurate weather forecasts are really life-saving.
๐ฅย Now, NASA and IBM just dropped a game-changing new model: the first ever foundation model for weather! This means, it's the first time we have a generalist model not restricted to one task, but able to predict 160 weather variables!
Prithvi WxC (Prithvi, โเคชเฅเคฅเฅเคตเฅโ, is the Sanskrit name for Earth) - is a 2.3 billion parameter model, with an architecture close to previous vision transformers like Hiera.
๐กย But it comes with some important tweaks: under the hood, Prithvi WxC uses a clever transformer-based architecture with 25 encoder and 5 decoder blocks. It alternates between "local" and "global" attention to capture both regional and global weather patterns.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐:
๐ฎ Nails short-term forecasts - Prithvi WxC crushed it on 6-12 hour predictions, even outperforming some traditional numerical weather models
๐ Tracks hurricanes like a champ - For Hurricane Ida, it predicted the landfall location within 5 km (vs 20+ km errors from other AI models), which is a huge progress!
๐ 6x downscaling power - Can zoom in on weather data to 6x higher resolution with 4x lower error than basic methods
๐ Models elusive gravity waves - Accurately simulates these crucial but hard-to-capture atmospheric oscillations
As climate change intensifies, tools like Prithvi WxC will become more and more crucial to avoid disasters!
Announcement post ๐ https://newsroom.ibm.com/2024-09-23-ibm-and-nasa-release-open-source-ai-model-on-hugging-face-for-weather-and-climate-applications
Model on the Hub ๐ https://huggingface.co/Prithvi-WxC
Thank you @clem for highlighting it!
Hurricane Katrina killed hundreds of people as it made landfall on New Orleans in 2005 - many of these deaths could have been avoided if alerts had been given one day earlier. Accurate weather forecasts are really life-saving.
๐ฅย Now, NASA and IBM just dropped a game-changing new model: the first ever foundation model for weather! This means, it's the first time we have a generalist model not restricted to one task, but able to predict 160 weather variables!
Prithvi WxC (Prithvi, โเคชเฅเคฅเฅเคตเฅโ, is the Sanskrit name for Earth) - is a 2.3 billion parameter model, with an architecture close to previous vision transformers like Hiera.
๐กย But it comes with some important tweaks: under the hood, Prithvi WxC uses a clever transformer-based architecture with 25 encoder and 5 decoder blocks. It alternates between "local" and "global" attention to capture both regional and global weather patterns.
๐๐ฒ๐ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐:
๐ฎ Nails short-term forecasts - Prithvi WxC crushed it on 6-12 hour predictions, even outperforming some traditional numerical weather models
๐ Tracks hurricanes like a champ - For Hurricane Ida, it predicted the landfall location within 5 km (vs 20+ km errors from other AI models), which is a huge progress!
๐ 6x downscaling power - Can zoom in on weather data to 6x higher resolution with 4x lower error than basic methods
๐ Models elusive gravity waves - Accurately simulates these crucial but hard-to-capture atmospheric oscillations
As climate change intensifies, tools like Prithvi WxC will become more and more crucial to avoid disasters!
Announcement post ๐ https://newsroom.ibm.com/2024-09-23-ibm-and-nasa-release-open-source-ai-model-on-hugging-face-for-weather-and-climate-applications
Model on the Hub ๐ https://huggingface.co/Prithvi-WxC
Thank you @clem for highlighting it!