NASA and IBM have partnered to develop a new artificial intelligence model aimed at improving weather and climate applications. The Privthi-weather-climate foundational model leverages AI technology to enhance resolution in regional and local weather and climate models. By training the model on large unlabeled datasets, such as NASA’s MERRA-2 data, and utilizing AI learning processes, researchers can apply the collected patterns to various scenarios.
The goal of this collaboration is to provide actionable science that can benefit humanity by delivering weather, seasonal, and climate projections to help communities make informed decisions. Privthi’s climate-meteorological model will support a range of climate applications, including detecting severe weather patterns, creating targeted forecasts based on localized observations, improving global climate simulations at regional levels, and enhancing the representation of physical processes in weather models.
NASA’s open approach to sharing these transformative AI models aims to make science data more accessible to the global community. Privthi-weather-climate was developed through a collaboration with IBM Research, Oak Ridge National Laboratory, and NASA’s IMPACT team at the Marshall Space Flight Center in Huntsville, Alabama. The model is designed to capture complex atmospheric dynamics, even when information is missing, and can be expanded to global and regional areas without sacrificing resolution.
Part of the larger Privthi family of models, Privthi-weather-climate is trained with data from NASA’s LandSat and Sentinel-2 satellites. The model will be available for use on the Hugging Face platform, a data science and machine learning platform that allows users to build, deploy, and train machine learning models.
Overall, NASA’s development of the Privthi-weather-climate model signifies a step towards democratizing the agency’s science and observation mission. The collaboration involved contributions from various entities, including the Office of the Chief Data Science Officer, the Global Modeling and Assimilation Office at the Goddard Space Flight Center, Oak Ridge National Laboratory, and multiple universities.
The development of this foundational AI model represents NASA’s commitment to advancing technologies for analyzing climate scenarios and making informed decisions. This model, along with others in the Privthi family, aligns with NASA’s open science principles to make data accessible and usable for communities worldwide. More information about Earth data and previous Privthi models can be found on NASA’s Earth data website.
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https://www.spacedaily.com/reports/NASA_IBM_Research_to_Release_New_AI_Model_for_Weather_Climate_999.html