Loading…
This event has ended. Create your own event on Sched.

About the workshop

This virtual workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation by scientists, program managers, and leaders from the public, academic and private sectors who work in AI and environmental sciences. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” This year’s workshop is led by the NOAA Center for Artificial Intelligence (NCAI), a program in the formulation stage.

All time listed on this page is Mountain Time (UTC-6) by default. You can change to your local time zone on the right side of this page. Questions regarding the workshop can be addressed to ai.workshop@noaa.gov. View the participant handbook for how to navigate the workshop technology platforms.

Registration for the workshop is closed and this page is viewable to registered participants only. Please do not share your access code publicly.
Back To Schedule
Monday, September 13 • 10:45am - 12:15pm
Session 1B: AI for Weather and Climate - Part I

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.

Chairs: Kyle Hilburn, Yoonjin Lee

Presentations:
David Hall – "AI for the Environmental Sciences at NVIDIA" (10:45 am MDT - 11:05)
Chongxing Fan – "Use different machine-learning algorithms for clear-sky detections in infrared hyperspectral observations: assessment and physical interpretability" (11:07 - 11:19)
Daniel Lopez – "Generating CloudSat Reflectivity Using Passive Microwave Brightness Temperatures and cGANs" (11:21 - 11:33)
Janni Yuval – "Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation" (11:35 - 11:47)
Linsey Passarella – "Super Resolution Reconstruction of E3SM Data Using a FSRCNN" (11:49 - 12:01)
Spencer Clark – "Applying machine learning parameterization through coarse graining to improve the skill in simulating multiple climates in a full complexity GCM" (12:03 - 12:15)

Slack channel: #03_weather-and-climate

Chairs
avatar for Kyle Hilburn

Kyle Hilburn

CIRA/CSU
avatar for Yoonjin Lee

Yoonjin Lee

Post-doc, CIRA

Speakers
avatar for Daniel Lopez

Daniel Lopez

Undergraduate, University of Illinois at Urbana-Champaign
avatar for Spencer Clark

Spencer Clark

Allen Institute for Artificial Intelligence / NOAA Geophysical Fluid Dynamics Laboratory


Monday September 13, 2021 10:45am - 12:15pm MDT
Zoom N/A