AMS Town Hall: NSF NCAR’s advanced computing, data services, and new AI ecosystem road map for Earth System Science

Join NSF NCAR's Town Hall this year at AMS!

Town Hall

Jan. 28, 2026

11:15 am – 12:15 pm MST

The 106th AMS Annual Meeting in Houston, Texas

Date: Wednesday, January 28
Time: 12:15 pm- 1:15pm CT
Room: 351A (George R. Brown Convention Center)

Slide Deck for Town Hall

0:00 – 0:05 | Welcome
0:05 - 0:15 | NSF NCAR’s Geoscience Data Exchange: Empowering Scalable, Collaborative Science
0:15 - 0:25 | High Performance Computing (HPC): Resources, Access, and Support
0:25 - 0:35 | Exploring What’s Possible: Artificial Intelligence (AI) and the NSF NCAR AI Roadmap
0:35 - 0:45 | NSF NCAR’s AI/ML Ecosystem - Work in Progress
0:45 - 0:60 | Q&A

Abstract
Each year, NSF NCAR supports more than 1,500 users across 500+ U.S. universities and research institutions with advanced computing resources, services, and expertise in support of Earth System Science (ESS). As part of its mission, NSF NCAR also provides free access to data services, community software tools, and other valuable resources to tens of thousands of researchers worldwide.

In response to the transformative potential of AI, NSF NCAR has recently developed a strategic roadmap to guide the integration of AI/ML in ESS. This initiative aims to democratize AI capabilities, foster cross-disciplinary collaboration, and accelerate scientific discovery within the ESS community.

Join the leadership of NSF NCAR’s Computational Information Systems Lab (CISL) for a Town Hall where we will introduce the newly released roadmap and provide an overview of NCAR’s role in supporting a collaborative, inclusive, and forward-looking Community AI Ecosystem. The roadmap outlines scientific priorities for AI/ML in ESS and presents a vision for scaling adoption through advances in infrastructure, data systems, software tools, and workforce development. We will also showcase the latest advancements in NSF NCAR cyberinfrastructure. We will share key updates, future plans, and links to resources for deeper exploration, while also seeking valuable feedback from the community.

Other CISL Presenters at AMS:

1.1: Scaling and Optimizing AI/ML Workflows in Earth System Science, Negin Sobhani

340A (GRB), Monday, 1/26, 8:30 - 8:45AM

1A.5: Tunable Weather: Real-time Forecast Modification via Learned Style Parameters, John Schreck

330A (GRB), Monday, 1/26, 9:30 - 9:45 AM

J2.3: Unlocking the Value of NSF NCAR's Research Data, Doug Schuster

372A, Monday, 1/26, 11:30 - 11:45 AM

2B.4: Dynamically Linking Interactive Perturbations with Model Inference, Charlie Becker

322A (GRB), Monday, 1/26, 11:30 - 11:45 AM

J2.5: Building Data Search and Discovery Applications for the NSF NCAR Geoscience Data Exchange, Thomas Cram

372A, Monday, 1/26, 11:45-12:00 PM

J4.2: Latest Developments in Uxarray: A Python Package Supporting Kilometer-Scale Model Outputs in Native Unstructured Grids, Orhan Eroglu/John Clyne