NASA and IBM Partner to Develop Geospatial AI for Weather Prediction
In Brief
NASA and IBM announced collaboration to develop a geospatial AI model for weather and climate applications.
The US government agency National Aeronautics and Space Administration (NASA), and multinational technology company IBM have announced collaborative work on a new generative artificial intelligence (AI) foundation model for weather and climate observation.
The companies aim to join forces to elaborate a multimodal AI foundation model that will predict meteorological phenomena, provide weather forecasts, super-resolution downscaling and identify conditions conducive to wildfires, surpassing in advancement the existing technology.
IBM and NASA expect the new AI model to have expanded accessibility, faster inference time and greater diversity of data compared to the current AI models, such as GraphCast and Fourcastnet. Additionally, the new model will have improved accuracy in weather forecasting and other climate applications.
Collaborative Deployment of Largest Geospatial AI Model
IBM researchers will work alongside NASA domain experts to train the model on the MERRA-2 dataset, a combination of high-quality observations and estimates of past weather over the last 40 years. Once trained and validated, the model will be made openly available on Hugging Face.
In May 2023, the companies deployed another foundational model in a collaborative effort. It harnessed data from NASA satellites for geospatial intelligence, being the largest geospatial model on the open-source AI platform Hugging Face so far.
This model has been used to track and visualize tree planting and growing activities in forest landscapes that retain water in Kenya and analyze urban heat islands in the United Arab Emirates.
In advancing weather and climate analysis, NASA and IBM’s collaborative efforts promise a transformative impact, with innovative AI models designed for enhanced accuracy and expanded applications.
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Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
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Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
