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Insights from Very-Large-Ensemble Data Assimilation...

Insights from very Large Ensemble Data Assimilation Experiments with a High Resolution General circulation model of the Red Sea

By sivareddy sanikommu, Naila Raboudi, Mohamad Gharamti, et al.

Pushing the Frontiers in Climate Modelling and...

Pushing the frontiers in climate modelling and analysis with machine learning

By Veronika Eyring, William D. Collins, Pierre Gentine, et al. 

Innovations in Open Science (IOS) Planning Workshop...

Innovations in Open Science (IOS) Planning Workshop

By Matthew S. Mayernik, Douglas C. Schuster, and John P. Clyne
 

Build an accurate, multi-layered knowledge base via Data Assimilation

Working on equipment at T-REX

Discover state-of-the-art ensemble data assimilation capabilities for the NSF NCAR community, including services, tutorials, and software.

Assimilate Now

Accelerate computational and scientific breakthroughs with ASAP

REAL during T-REX

Learn how the ASAP group optimizes HPC for the Earth systems science community, by increasing compute efficiency and reducing data volume.

Optimize HPC

Imagine a better world through AI and machine learning

Two women studying in library

Learn how the MILES group is using AI and ML to forge greater social good by integrating AI/ML capabilities throughout Earth systems science.

Think It Through

Share insights beautifully using Data Visualization techniques

Second floor sphere - Earth visualization

Find the meaning in big data, create interactive data visualizations that tell your story beautifully, and communicate your findings to the world.

Visualize the Possibilities

Build a more accurate, multi-layered knowledge base via Data Assimilation

REAL during T-REX

Discover state-of-the-art ensemble data assimilation capabilities for the NSF NCAR community, including services, tutorials, and software.

 

Assimilate Now

Global Variability in Atmospheric New Particle...

Mechanisms of NPF and constraints from observations over rainforests.

By Bin Zhao, Neil M. Donahue, Kai Zhang, et al.

Leveraging a Novel Hybrid Ensemble and Optimal Interpolation Approach for Enhanced...

Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction

By Mohamad El Gharamti, Arezoo Rafieeinasab, and James L. McCreight

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This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.