4 min read<\/p>\n
NASA, IBM Research to Release New AI Model for Weather, Climate<\/h1>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n![\"Hurricane](\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/d9808619-a4ef-4a3e-95ea-cae730a8d250.jpg?w=800\")
<\/a><\/figure>\nWith the Privthi-weather-climate foundational model, researchers will be able to support many climate applications that can be used throughout the science community. These applications include detecting and improving models for severe weather patterns or natural disasters such as hurricanes. NASA\u2019s Terra satellite acquired this image of Idalia in August 2023.<\/em><\/div>\nNASA Earth Observatory<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\nBy Jessica Barnett<\/em><\/p>\nWorking together, NASA and IBM Research have developed a new artificial intelligence model to support a variety of weather and climate applications. The new model \u2013 known as the Privthi-weather-climate foundational model<\/a> \u2013 uses artificial intelligence (AI) in ways that could vastly improve the resolution we\u2019ll be able to get, opening the door to better regional and local weather and climate models.\u00a0\u00a0<\/p>\nFoundational models are large-scale, base models which are trained on large, unlabeled datasets and can be fine-tuned for a variety of applications. The Privthi-weather-climate model is trained on a broad set of data \u2013 in this case NASA data from NASA\u2019s Modern-Era Retrospective analysis for Research and Applications<\/a> (MERRA-2)\u2013 and then makes use of AI learning abilities to apply patterns gleaned from the initial data across a broad range of additional scenarios.\u00a0\u00a0<\/p>\n\u201cAdvancing NASA\u2019s Earth science for the benefit of humanity means delivering actionable science in ways that are useful to people, organizations, and communities. The rapid changes we\u2019re witnessing on our home planet demand this strategy to meet the urgency of the moment,\u201d said Karen St. Germain, director of the Earth Science Division of NASA\u2019s Science Mission Directorate. \u201cThe NASA foundation model will help us produce a tool that people can use: weather, seasonal and climate projections to help inform decisions on how to prepare, respond and mitigate.\u201d\u202f\u00a0<\/p>\n
With the Privthi-weather-climate model, researchers will be able to support many different climate applications that can be used throughout the science community. These applications include detecting and predicting severe weather patterns or natural disasters, creating targeted forecasts based on localized observations, improving spatial resolution on global climate simulations down to regional levels, and improving the representation of how physical processes are included in weather and climate models.<\/p>\n
\u201cThese transformative AI models are reshaping data accessibility by significantly lowering the barrier of entry to using NASA\u2019s scientific data,\u201d said Kevin Murphy, NASA\u2019s chief science data officer, Science Mission Directorate at NASA Headquarters. \u201cOur open approach to sharing these models invites the global community to explore and harness the capabilities we\u2019ve cultivated, ensuring that NASA\u2019s investment enriches and benefits all.\u201d\u00a0<\/p>\n
Privthi-weather-climate was developed through an open collaboration with IBM Research, Oak Ridge National Laboratory, and NASA, including the agency\u2019s Interagency Implementation and Advanced Concepts Team<\/a> (IMPACT) at Marshall Space Flight Center in Huntsville, Alabama.\u00a0<\/p>\nPrivthi-weather-climate can capture the complex dynamics of atmospheric physics even when there is missing information thanks to the flexibility of the model\u2019s architecture. This foundational model for weather and climate can scale to both global and regional areas without compromising resolution.\u00a0<\/p>\n
\u201cThis model is part of our overall strategy to develop a family of AI foundation models to support NASA\u2019s science mission goals,\u201d said Rahul Ramachandran, who leads IMPACT at Marshall. \u201cThese models will augment our capabilities to draw insights from our vast archives of Earth observations.\u201d\u00a0\u00a0<\/p>\n
Privthi-weather-climate is part of a larger model family\u2013 the Privthi family\u2013 which includes models trained on NASA\u2019s Harmonized LandSat and Sentinel-2<\/a> data. The latest model serves as an open collaboration in line with NASA\u2019s open science principles to make all data accessible and usable by communities everywhere. It will be released later this year on Hugging Face, a machine learning and data science platform that helps users build, deploy, and train machine learning models.\u00a0<\/p>\n\u201cThe development of the NASA foundation model for weather and climate is an important step towards the democratization of NASA\u2019s science and observation mission,\u201d said Tsendgar Lee, program manager for NASA\u2019s Research and Analysis Weather Focus Area, High-End Computing Program, and Data for Operation and Assessment. \u201cWe will continue developing new technology for climate scenario analysis and decision making.\u201d\u00a0<\/p>\n
Along with IMPACT and IBM Research, development of Privthi-weather-climate featured significant contributions from NASA\u2019s Office of the Chief Science Data Officer, NASA\u2019s Global Modeling and Assimilation Office at Goddard Space Flight Center, Oak Ridge National Laboratory, the University of Alabama in Huntsville, Colorado State University, and Stanford University.\u00a0<\/p>\n
Learn more about Earth data and previous Privthi models:\u00a0
https:\/\/www.earthdata.nasa.gov\/news\/impact-ibm-hls-foundation-model<\/a><\/p>\nJonathan Deal<\/em><\/strong>\u00a0
Marshall Space Flight Center, Huntsville, Ala.<\/em><\/strong>\u202f\u00a0
256.544.0034 <\/em><\/strong>\u202f\u00a0
jonathan.e.deal@nasa.gov<\/em><\/strong>\u202f\u00a0<\/p>\n\n\n\n\n\n\nShare<\/h2>\n<\/div>\n\n
![\"Hurricane](\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/d9808619-a4ef-4a3e-95ea-cae730a8d250.jpg\")
<\/a><\/figure>By Jessica Barnett<\/em><\/p>\n Working together, NASA and IBM Research have developed a new artificial intelligence model to support a variety of weather and climate applications. The new model \u2013 known as the Privthi-weather-climate foundational model<\/a> \u2013 uses artificial intelligence (AI) in ways that could vastly improve the resolution we\u2019ll be able to get, opening the door to better regional and local weather and climate models.\u00a0\u00a0<\/p>\n Foundational models are large-scale, base models which are trained on large, unlabeled datasets and can be fine-tuned for a variety of applications. The Privthi-weather-climate model is trained on a broad set of data \u2013 in this case NASA data from NASA\u2019s Modern-Era Retrospective analysis for Research and Applications<\/a> (MERRA-2)\u2013 and then makes use of AI learning abilities to apply patterns gleaned from the initial data across a broad range of additional scenarios.\u00a0\u00a0<\/p>\n \u201cAdvancing NASA\u2019s Earth science for the benefit of humanity means delivering actionable science in ways that are useful to people, organizations, and communities. The rapid changes we\u2019re witnessing on our home planet demand this strategy to meet the urgency of the moment,\u201d said Karen St. Germain, director of the Earth Science Division of NASA\u2019s Science Mission Directorate. \u201cThe NASA foundation model will help us produce a tool that people can use: weather, seasonal and climate projections to help inform decisions on how to prepare, respond and mitigate.\u201d\u202f\u00a0<\/p>\n With the Privthi-weather-climate model, researchers will be able to support many different climate applications that can be used throughout the science community. These applications include detecting and predicting severe weather patterns or natural disasters, creating targeted forecasts based on localized observations, improving spatial resolution on global climate simulations down to regional levels, and improving the representation of how physical processes are included in weather and climate models.<\/p>\n \u201cThese transformative AI models are reshaping data accessibility by significantly lowering the barrier of entry to using NASA\u2019s scientific data,\u201d said Kevin Murphy, NASA\u2019s chief science data officer, Science Mission Directorate at NASA Headquarters. \u201cOur open approach to sharing these models invites the global community to explore and harness the capabilities we\u2019ve cultivated, ensuring that NASA\u2019s investment enriches and benefits all.\u201d\u00a0<\/p>\n Privthi-weather-climate was developed through an open collaboration with IBM Research, Oak Ridge National Laboratory, and NASA, including the agency\u2019s Interagency Implementation and Advanced Concepts Team<\/a> (IMPACT) at Marshall Space Flight Center in Huntsville, Alabama.\u00a0<\/p>\n Privthi-weather-climate can capture the complex dynamics of atmospheric physics even when there is missing information thanks to the flexibility of the model\u2019s architecture. This foundational model for weather and climate can scale to both global and regional areas without compromising resolution.\u00a0<\/p>\n \u201cThis model is part of our overall strategy to develop a family of AI foundation models to support NASA\u2019s science mission goals,\u201d said Rahul Ramachandran, who leads IMPACT at Marshall. \u201cThese models will augment our capabilities to draw insights from our vast archives of Earth observations.\u201d\u00a0\u00a0<\/p>\n Privthi-weather-climate is part of a larger model family\u2013 the Privthi family\u2013 which includes models trained on NASA\u2019s Harmonized LandSat and Sentinel-2<\/a> data. The latest model serves as an open collaboration in line with NASA\u2019s open science principles to make all data accessible and usable by communities everywhere. It will be released later this year on Hugging Face, a machine learning and data science platform that helps users build, deploy, and train machine learning models.\u00a0<\/p>\n \u201cThe development of the NASA foundation model for weather and climate is an important step towards the democratization of NASA\u2019s science and observation mission,\u201d said Tsendgar Lee, program manager for NASA\u2019s Research and Analysis Weather Focus Area, High-End Computing Program, and Data for Operation and Assessment. \u201cWe will continue developing new technology for climate scenario analysis and decision making.\u201d\u00a0<\/p>\n Along with IMPACT and IBM Research, development of Privthi-weather-climate featured significant contributions from NASA\u2019s Office of the Chief Science Data Officer, NASA\u2019s Global Modeling and Assimilation Office at Goddard Space Flight Center, Oak Ridge National Laboratory, the University of Alabama in Huntsville, Colorado State University, and Stanford University.\u00a0<\/p>\n Learn more about Earth data and previous Privthi models:\u00a0 Jonathan Deal<\/em><\/strong>\u00a0
https:\/\/www.earthdata.nasa.gov\/news\/impact-ibm-hls-foundation-model<\/a><\/p>\n
Marshall Space Flight Center, Huntsville, Ala.<\/em><\/strong>\u202f\u00a0
256.544.0034 <\/em><\/strong>\u202f\u00a0
jonathan.e.deal@nasa.gov<\/em><\/strong>\u202f\u00a0<\/p>\nShare<\/h2>\n<\/div>\n