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Advancing Earth System Modeling: Enhancing Data Assimilation with JEDI’s Local Volume Solvers

Illustration of Earth from space

A new study supported by the Climate Program Office’s Modeling, Analysis, Predictions, and Projections (MAPP) Program improves Earth system models by incorporating real-world observations using data assimilation. This work builds on a MAPP initiative to target data assimilation approaches to monitoring products through a grant awarded to the University of Colorado, Boulder. 

The Joint Effort for Data assimilation Integration (JEDI) is a collaborative initiative aiming to streamline the transition from research to operational use in Earth system modeling. In simpler terms, it’s like creating a universal language for different Earth system models to communicate and work together efficiently. This study focuses on developing “local volume solvers” in the JEDI context, which help update predictions at each point on Earth’s grid using nearby observations, effectively fine-tuning the map based on the information around each spot. This study, published in the Journal of Advances in Modeling Earth Systems, lays the groundwork for improving how we integrate various data sources into Earth system models, like those for the atmosphere, ocean, land, and more, helping us understand complex Earth systems and make more accurate forecasts. The research also works toward a standardized approach that can be applied across various Earth system models, making collaboration easier and advancing our ability to tackle pressing environmental challenges.

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For more information, contact Clara Deck.

Image credit: Pixabay

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