BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME:noaaai2026
X-WR-CALDESC:Event Calendar
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//Sched.com 8th NOAA AI Workshop//EN
X-WR-TIMEZONE:UTC
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T143000Z
DTEND:20260825T160000Z
SUMMARY:Opening plenary
DESCRIPTION:
CATEGORIES:PLENARY
LOCATION:TBA
SEQUENCE:0
UID:db34bcc4378c10e092b99cabc4171a6b
URL:http://noaaai2026.sched.com/event/db34bcc4378c10e092b99cabc4171a6b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T160000Z
DTEND:20260825T163000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:9751c6a364535bf9cb823e23aac6af45
URL:http://noaaai2026.sched.com/event/9751c6a364535bf9cb823e23aac6af45
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T163000Z
DTEND:20260825T180000Z
SUMMARY:Session 1 — AI Weather & Climate Emulation
DESCRIPTION:Nicholas Lutsko (UCSD): Exploring the Atmospheric Responses to Arctic Sea-Ice Loss in Google's NeuralGCM\n Piyush Garg (RWE Commercial AI Lab): The Recipe Matters More Than the Kitchen: Mathematical Foundations of the AI Weather Prediction Pipeline\n Spencer Clark (AI2/GFDL): Disentangling the effects of sea surface temperature and CO2 in global machine learned weather-climate emulators\n Ayoub Ghriss (CU Boulder): Graph-Based Representations for Efficient Neural Assimilation of CESM2\n Marco Tedesco (Columbia University): The Modele Atmospherique Regional – Intelligence Artificielle (MAR-IA) for simulating SMB over Greenland
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:a050d5398b2ce99b87984417ab61b3e9
URL:http://noaaai2026.sched.com/event/a050d5398b2ce99b87984417ab61b3e9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T180000Z
DTEND:20260825T190000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:dbfff158c890d5dc4e3e9fe62990e701
URL:http://noaaai2026.sched.com/event/dbfff158c890d5dc4e3e9fe62990e701
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T190000Z
DTEND:20260825T203000Z
SUMMARY:Session 2 — Convection-Allowing & High-Impact Weather Forecasting
DESCRIPTION:Corey Potvin (NOAA NSSL): WoFSCast: New developments and performance in the 2026 Spring Forecasting Experiment\n Adam Clark (NOAA NSSL): AI results from the 2026 NOAA Hazardous Weather Testbed Spring Forecasting Experiment\n Isidora Jankov (NOAA GSL): HRRRCast Updates: AI-based convection-allowing ensemble forecasting system\n Nanette Hosenfeld (NWS Colorado Basin River Forecast Center): Modernizing Flash Flood Guidance through Machine Learning and RFC-WFO Collaboration\n Austin Park (AWS): Faster to First Insight: Agentic AI as a Rapid Supplement to Traditional Weather Forecasting
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:eafd41312e6e9daf57e2bdeee8697484
URL:http://noaaai2026.sched.com/event/eafd41312e6e9daf57e2bdeee8697484
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T203000Z
DTEND:20260825T210000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:9816bfb0ecfc40bbea4c0098d0f99611
URL:http://noaaai2026.sched.com/event/9816bfb0ecfc40bbea4c0098d0f99611
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260825T210000Z
DTEND:20260825T223000Z
SUMMARY:Session 3 — LLMs\, Agents & Trust in the Weather Enterprise
DESCRIPTION:Daniel Nietfeld (CIRA): Who issued this warning? Relational trust and the integration of AI/LLMs in the weather enterprise\n Ryan Walsh (NWS Operations Proving Ground): "Looks Good to Me" Doesn't Clear the Bar: Automating LLM Evaluation for Mission-Critical NWS Workflows\n Eric Allen (NWS): Modernizing Local Storm Reports and Storm Data Collection through Open Source Intelligence and Agentic AI\n Jessica Chen & Nikhil Manakkal (NOAA): Development of LLM-Based Chat Tools for Analysis of Probabilistic Weather Forecasts\n Deeder Aurongzeb (JHU): Quantification of Agentic Trust for Cascading Disasters: A Physics-Informed Human-in-the-Loop Framework
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:5791029fc563c795d96dd6f4aa8955ca
URL:http://noaaai2026.sched.com/event/5791029fc563c795d96dd6f4aa8955ca
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T143000Z
DTEND:20260826T160000Z
SUMMARY:Plenary - Users Perspective
DESCRIPTION:\n
CATEGORIES:PLENARY
LOCATION:TBA
SEQUENCE:0
UID:0bf48a7283ed1c43bd6d6b3bc5830603
URL:http://noaaai2026.sched.com/event/0bf48a7283ed1c43bd6d6b3bc5830603
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T160000Z
DTEND:20260826T163000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:356004cbb382724541b8f6e47b15116c
URL:http://noaaai2026.sched.com/event/356004cbb382724541b8f6e47b15116c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T163000Z
DTEND:20260826T180000Z
SUMMARY:Session 4 — Data Discovery\, Metadata & Knowledge Tools
DESCRIPTION:Matthew Widlansky (University of Hawaii at Manoa): Building an AI Skills Library for Reproducible Environmental Data Analysis\n Jonathan Mote (NOAA/OAR/WPO): From Sticky Notes to Knowledge Graphs with AI\n Zachary Medley (ORNL ): Drafting Metadata Records for Atmospheric Science Datasets using an AI Agent with Model Context Protocol (MCP) Servers\n Chirag Shah (ORNL): ARM Data Advisor (ADA): A Revolution in Atmospheric Data Discovery and Access\n Kevin Lee (UCLA & NASA-JPL): An Intelligent Toolbox for Multi-Scale Oceanography Analysis
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:d4a4bda075032d585ed32c4dd2a70825
URL:http://noaaai2026.sched.com/event/d4a4bda075032d585ed32c4dd2a70825
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T180000Z
DTEND:20260826T190000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:75e3b026f0e19b60f63318d1207a672c
URL:http://noaaai2026.sched.com/event/75e3b026f0e19b60f63318d1207a672c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T190000Z
DTEND:20260826T203000Z
SUMMARY:Session 5 — ML for Remote Sensing & Satellite Retrievals
DESCRIPTION:Nicholas Elmer (Arete): AI data fusion for high-resolution atmospheric characterization\n Somnath Luitel (Western Kentucky University): AirCast-SR: A Diffusion Based Foundation Model for Kilometer-Scale Atmospheric Super-Resolution\n Shuyan Liu (CISESS/STAR): Enhancing MiRS ATMS Precipitation Retrievals through Machine Learning: Development\, Evaluation\, and Operational Transition\n Tyler Gardner (CIRES / NOAA): Improving Space Weather Imagery: A Machine Learning Approach to Removing Earthshine Artifacts in CCOR-1 Data\n Ying-Chieh Chen (The University of Iowa): Retrieve Nighttime Cloud Microphysical Parameters from VIIRS Observations: A Physics-Informed Transformative Machine Learning Approach
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:36c3ed7e46ad248a9f6ed207978774f4
URL:http://noaaai2026.sched.com/event/36c3ed7e46ad248a9f6ed207978774f4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T203000Z
DTEND:20260826T210000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:4084fec88d1156a7a3b23750d2f6bc08
URL:http://noaaai2026.sched.com/event/4084fec88d1156a7a3b23750d2f6bc08
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260826T210000Z
DTEND:20260826T223000Z
SUMMARY:Session 6 — AI for Blue Economy
DESCRIPTION:Lin Qi (NOAA/STAR): Mapping global floating algae blooms with deep learning method\n Dustin Colson Leaning (EDF & CVision AI) & Brian Tate (CVision AI): Estimating Recreational Fishing Effort with AI and Shore-Based Camera Systems\n Masoud Rostami (UT Arlington): TRUST-Aqua: Trustworthy AI for Aquatic Environmental Monitoring\, Forecasting\, and Decision Support\n Caitlin Allen Akselrud (NOAA-NMFS): Hidden fragility in machine learning models: the importance of a data-driven approach to forecasting messy time-series data\n Yan Chen &&nbsp\;Shayla Fitzsimmons (Canadian Integrated Ocean Observing System): From Project to Community: Building Bridges through a Community of Practice
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:c93bb48cc5e067dc77ba21b5546130b2
URL:http://noaaai2026.sched.com/event/c93bb48cc5e067dc77ba21b5546130b2
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260827T143000Z
DTEND:20260827T160000Z
SUMMARY:Session 7 — Climate\, Drought\, Emissions & Renewable Energy
DESCRIPTION:Cenlin He (NSF NCAR) Machine learning-based high-resolution subseasonal-to-seasonal prediction of drought and wildfire in the western United States\n Iype Eldho (CISESS) Characterizing Spatiotemporal Drought Regimes across CONUS Using Long-Term Daily SPI and Unsupervised Learning\n Ayesha Genz (NOAA) CIndRA: A Climate Indicator Report Assistant for AI-Enabled Pacific Climate Services\n 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\n Sue Ellen Haupt (NSF NCAR) Building and Evaluating a Machine Learning Surface Layer Scheme for Offshore Wind Applications
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:ca961b15e2710bfc15926983b92de4cb
URL:http://noaaai2026.sched.com/event/ca961b15e2710bfc15926983b92de4cb
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260827T160000Z
DTEND:20260827T163000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:22fc8bfa9c6f850f85c9e99941634283
URL:http://noaaai2026.sched.com/event/22fc8bfa9c6f850f85c9e99941634283
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260827T163000Z
DTEND:20260827T180000Z
SUMMARY:Session 8 — Operationalizing AI: Institutional Frameworks & Readiness
DESCRIPTION:Annarita Mariotti (NOAA OAR): AI Innovation Across NOAA Research\n 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\n Stephanie Ray (NWS / National Data Buoy Center): Leaning Forward: Integrating AI into NDBC Daily Routines\n Kendall Aubertot (TechTraverse): LLM agents\, NOAA datasets\, and OISS\n Tobey Kegley (NOAA NCEI): The NOAA Oceanographic Imagery Task Team's Feedback on ESIP's AI-Readiness Checklist
CATEGORIES:THEMATIC
LOCATION:TBA
SEQUENCE:0
UID:bd4c6c856007de87cb434e91562e1970
URL:http://noaaai2026.sched.com/event/bd4c6c856007de87cb434e91562e1970
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260827T180000Z
DTEND:20260827T190000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAK
LOCATION:TBA
SEQUENCE:0
UID:1c1e7ee7a0e1c01cd53185a6b53986c9
URL:http://noaaai2026.sched.com/event/1c1e7ee7a0e1c01cd53185a6b53986c9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260727T050451Z
DTSTART:20260827T190000Z
DTEND:20260827T203000Z
SUMMARY:Closing Plenary
DESCRIPTION:
CATEGORIES:PLENARY
LOCATION:TBA
SEQUENCE:0
UID:6aa3c6613ba2f14ec08a7d479e67e478
URL:http://noaaai2026.sched.com/event/6aa3c6613ba2f14ec08a7d479e67e478
END:VEVENT
END:VCALENDAR