8th NOAA AI Workshop: Full Schedule

8th NOAA AI Workshop (Details)

arrow_back View All Dates

8:30am MDT

Session 7 — Climate, Drought, Emissions & Renewable Energy

Thursday August 27, 2026 8:30am - 10:00am MDT

Cenlin He (NSF NCAR) Machine learning-based high-resolution subseasonal-to-seasonal prediction of drought and wildfire in the western United States
Iype Eldho (CISESS) Characterizing Spatiotemporal Drought Regimes across CONUS Using Long-Term Daily SPI and Unsupervised Learning
Ayesha Genz (NOAA) CIndRA: A Climate Indicator Report Assistant for AI-Enabled Pacific Climate Services
Bok H. Baek (George Mason University) Rapid Inference of Physically-informed Top-Down NOX and NH3 Emissions using the AI-driven Inverse Model Constrained by Observations
Sue Ellen Haupt (NSF NCAR) Building and Evaluating a Machine Learning Surface Layer Scheme for Offshore Wind Applications

Speakers

Cenlin He

Iype Eldho

Ayesha Genz

Bok H. Baek

Sue Ellen Haupt

Senior Scientist, NCAR

As a Senior Scientist at NCAR, I do research in boundary layer meteorology, artificial intelligence / machine learning applications, meteorology for renewable energy, and large scale atmospheric dynamics. I am Past Commissioner of the AMS Commission on the Weather, Water, and Climate... Read More →

Thursday August 27, 2026 8:30am - 10:00am MDT
TBA

Thematic

10:00am MDT

Break

Thursday August 27, 2026 10:00am - 10:30am MDT

TBA

Thursday August 27, 2026 10:00am - 10:30am MDT
TBA

Break

10:30am MDT

Session 8 — Operationalizing AI: Institutional Frameworks & Readiness

Thursday August 27, 2026 10:30am - 12:00pm MDT

TBA

Annarita Mariotti (NOAA OAR): AI Innovation Across NOAA Research
Jinwoong Yoo (UMD/NASA GSFC): NASA CLI and NASA HPC Studio: A Multi-Agent AI Framework for Autonomous End-to-End Earth System Modeling Workflows
Stephanie Ray (NWS / National Data Buoy Center): Leaning Forward: Integrating AI into NDBC Daily Routines
Kendall Aubertot (TechTraverse): LLM agents, NOAA datasets, and OISS
Tobey Kegley (NOAA NCEI): The NOAA Oceanographic Imagery Task Team's Feedback on ESIP's AI-Readiness Checklist

Speakers