NASA and IBM launch AI super model to predict weather and hurricanes • ENTER.CO

NASA and IBM launch AI super model to predict weather and hurricanes • ENTER.CO
NASA and IBM launch AI super model to predict weather and hurricanes • ENTER.CO

NASA and IBM have developed the powered model with artificial intelligence, Prithvi-weather-climate, to improve applications that detect severe global weather patterns or natural disasters such as hurricanes.

NASA and IBM Research have developed this new model to support a variety of weather and climate applications. Prithvi-weather-climate uses artificial intelligence (AI) in different ways that could greatly improve the resolution we will be able to obtain, opening the door to better regional weather and climate models.

Fundamental models are large-scale basic models that are trained on large unlabeled data sets and can be tuned for a variety of applications.

Prithvi trains on a large data set (in this case, NASA data from NASA’s Modern Era Retrospective Analysis for Research and Applications (MERRA-2)) and then makes use of the AI’s learning capabilities. to apply the collected patterns. from the initial data in a wide range of additional scenarios.

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“Advancing NASA Earth sciences for the benefit of humanity means delivering actionable science in ways that are useful to people, organizations, and communities. The rapid changes we are witnessing on our planet require this strategy to meet the urgency of the moment,” explains Karen St. Germain, director of the Earth Sciences Division of NASA’s Science Mission Directorate.

He also says NASA’s basic model will help produce a tool that people can use: weather, seasonal and climate projections to help inform decisions about how to prepare, respond and mitigate.

Researchers will now be able to support many different climate applications that can be used across the scientific community. Are Applications include detecting and predicting severe weather patterns or natural disasterscreating targeted forecasts based on localized observations, improving spatial resolution in global climate simulations down to regional levels, and improving the representation of how physical processes are included in weather and climate models.

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“These transformative AI models are reshaping data accessibility by significantly lowering the barrier to entry to using NASA scientific data. Our open approach to sharing these models invites the global community to explore and leverage the capabilities we have cultivated, ensuring that NASA’s investment enriches and benefits everyone,” argues Kevin Murphy, NASA’s chief science data officer.

Prithvi-weather-climate was developed through an open collaboration with IBM Research, Oak Ridge National Laboratory and NASAincluding the agency’s Interagency Implementation and Advanced Concepts Team (IMPACT) at the Marshall Space Flight Center in Huntsville, Alabama.

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This tool can capture the complex dynamics of atmospheric physics even when information is missing thanks to the flexibility of the model architecture. This fundamental model for weather and climate can be expanded to global and regional areas without compromising resolution.

“This model is part of our overall strategy to develop a family of core AI models to support NASA’s science mission objectives. These models will increase our capabilities to extract information from our vast archives of Earth observations,” says Rahul Ramachandran, who directs IMPACT at Marshall.

Prithvi-weather-climate is part of a larger model family, the Prithvi family, which includes models trained with harmonized data from NASA’s LandSat and Sentinel-2.

The technology serves as an open collaboration in line with NASA’s open science principles to make all data accessible and usable to communities around the world. It will launch later this year on Hugging Face, a data science and machine learning platform that helps users build, deploy, and train machine learning models.

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«The development of NASA’s basic model for weather and climate is an important step toward democratizing NASA’s scientific and observation mission. We will continue to develop new technologies for analyzing climate scenarios and making decisions,” explains Tsendgar Lee, program director of the Meteorological Research and Analysis Focus Area.

Along with IMPACT and IBM Research, the development of Prithvi-weather-climate included significant contributions from NASA’s Office of the Chief Data Science Officer, NASA’s Global Modeling and Assimilation Office at the Goddard Space Flight Center, the Oak Ridge National Laboratory and the University of Alabama in Huntsville. , Colorado State University and Stanford University.

Image: POT

 
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