NASA and IBM Collaborate to Innovate Geospatial AI for Weather Forecasting

The US government agency The National Aeronautics and Space Administration (NASA) and a leading global tech firm, IBM, have officially announced their partnership to develop a pioneering AI foundation model that incorporates generative artificial intelligence. The collaborative endeavor aims to create a sophisticated multimodal AI foundation model capable of predicting weather patterns, generating accurate forecasts, enhancing resolution through downscaling, and identifying wildfire-prone conditions, significantly advancing beyond the current technologies available in the field. IBM The anticipated AI model is expected to have improved accessibility, quicker processing times, and a broader range of data compared to existing AI models like Fourcastnet. Moreover, it will boast enhanced precision in delivering accurate weather forecasts and addressing various climate challenges. weather and climate observation.

Joint Launch of the Largest Geospatial AI Model to Date

IBM and NASA Researchers from IBM will collaborate with experts from NASA to train this model using the MERRA-2 dataset, which includes an array of high-quality observations and historical weather data spanning four decades. After thorough training and validation, this model will be freely accessible on Hugging Face. GraphCast Earlier in May 2023, both companies launched another foundational model, which utilized NASA satellite data for geospatial intelligence, marking it as the largest geospatial model available on an open-source AI platform.

This model has facilitated the tracking and visualization of tree planting efforts in Kenya’s forest ecosystems, which are crucial for water retention, and has also been applied to examine urban heat islands across the United Arab Emirates.

Through their ongoing collaboration in weather and climate research, NASA and IBM are set to create a groundbreaking impact, introducing innovative AI models that promise heightened accuracy and diverse applications.

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