NASA and IBM Research Collaborate to Develop AI Model for Weather and Climate Applications; Karen St. Germain Provides Insight

NASA and IBM Research Collaborate to Develop AI Model for Weather and Climate Applications; Karen St. Germain Provides Insight

IBM Research and NASA have collaborated to create an artificial intelligence model that can assist in detecting and predicting natural disasters and severe weather patterns. This model also aims to improve spatial resolution in global climate simulations and provide targeted forecasts based on localized observations. NASA announced that the AI model, known as the Privthi-weather climate foundational model, will be released later this year on the data science and machine learning platform Hugging Face.

According to Karen St. Germain, director of NASA’s Earth Sciences Division, the core model developed by NASA will provide valuable weather, seasonal, and climate projections to help individuals and organizations make informed decisions about preparedness, response, and mitigation strategies. The AI model, trained using data from NASA’s MERRA-2 dataset, has the capability to be scaled to regional and global levels without compromising resolution.

The Privthi climate-weather model was a collaborative effort between IBM Research, NASA, Oak Ridge National Laboratory, Stanford University, Colorado State University, the University of Alabama in Huntsville, and other NASA offices. This model represents a significant advancement in leveraging artificial intelligence to improve our understanding and preparedness for weather and climate-related events.

In summary, the partnership between IBM Research and NASA has resulted in the development of an AI model that can enhance the detection and prediction of natural disasters, improve global climate simulations, and provide targeted forecasts. This innovative model, named Privthi-weather climate foundational model, will be released on the platform Hugging Face later this year to benefit users in making informed decisions regarding weather, seasonal, and climate projections. The collaboration between IBM Research, NASA, and other organizations has led to the creation of a scalable AI model that can be applied at regional and global levels without compromising resolution. This represents a significant advancement in utilizing artificial intelligence to address weather and climate challenges.

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