NASA, IBM Research to Release New AI Model for Weather, Climate
Foundational models are large-scale, base models which are trained on large, unlabeled datasets and can be fine-tuned for a variety of applications.
use of AI learning abilities to apply patterns gleaned from the initial data across a broad range of additional scenarios.
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 transformative AI models are reshaping data accessibility by significantly lowering the barrier of entry to using NASA’s scientific data
Privthi-weather-climate was developed through an open collaboration with IBM Research, Oak Ridge National Laboratory
Privthi-weather-climate can capture the complex dynamics of atmospheric physics even when there is missing information thanks to the flexibility of the model’s architecture.
“This model is part of our overall strategy to develop a family of AI foundation models to support NASA’s science mission goals,”
Privthi-weather-climate is part of a larger model family– the Privthi family– which includes models trained on NASA’s Harmonized LandSat and Sentinel-2 data