AI2ES @ AMS 2024

Quick Details

  • Who:  All members of AI2ES, our partners and collaborators, and people interested in learning more
  • What: Annual AI2ES gathering (in-person and hybrid)
  • When:  January 28, 2024 (Sunday before AMS)
  • Where:  Baltimore Convention Center room 310
  • How to register: 
    • Note:  Payment is AFTER you register (it is being handled separately).  Credit cards or checks or POs will be accepted.
    • Registration closed January 10, 2024 (if you still want to attend, please email Amy and/or Susan!)
  • Quick link to all of the AI2ES talks at AMS: (to be added once AMS 2024 has its schedule online)
  • Note, you need to have an AMS name tag to enter – please email Amy & Susan if you are attending AI2ES@AMS but not AMS and we can get you a name tag.


Note: This is preliminary and details will be filled in soon!

Time Topic Presenter/Organizer
9:00 – 9:15 AM Welcome and stage setting Amy McGovern
9:15 – 9:30 AM Networking activities Michael Yu, William McGovern-Fagg, Hector Marrero-Colominas
9:30 – 9:45 AM  Expand AI Partner: FIU


Jason Liu

9:45 – 10:00 AM Expand AI Partner: SDSU 

Samuel Shen

10:15 – 10:45 AM Early career lightning talks 

Philippe Tissot, moderator


Marina Vicens-Miquel, Texas A&M University-Corpus Christi Machine Learning for Coastal Inundation

Dongsheng Luo @ FIU Explainable Deep Learning for Time Series Anslysis

Yoonjin Lee; CIRA/CSU Retrieval of boundary layer precipitable water from GOES ABI using machine learning techniques

Maria Madsen (The University of Oklahoma) Elevating Collaboration: Insights from ECMWF Research Visit

Ryan Lagerquist, CIRA / NOAA GSL Machine-learned uncertainty quantification is not magic: Lessons learned from emulating radiative transfer with ML

Chris Wirz – NSF NCAR Advancing theory and development within AI2ES: Moving toward cross-cutting research

10:45 – 11:00 AM Break and a group photo EVERYONE
11:15 – 12:00 PM Showcase of current AI2ES research products as well as private industry partners David Gagne, moderator

Yeji Choi, SI Analytics Weather Intelligence Platform, OVISION earth!

Jacob Radford Visualizing Pure AI Weather Prediction Models

Sam Shen, San Diego State Univ Data Visualization by 4DVD and XSLICE

David Hall, NVIDIA NVIDIA Earth2 Updates

Matthew Kastl, TAMU-CC CBI Semaphore – A software to speed up R2O for Environmental AI models

Miranda White, TAMU-CC CBI Operational Cold Stunning Event Predictions

David John Gagne NCAR MILES Machine Learning Software Tools

12:00 – 1:30 PM Lunch and discussions Lunch is on your own near the convention center
1:30 – 2:15 PM Panel/Roundtable discussion on what we’ve learned about AI2ES research collaborations, how we work together, how we could improve Julie and Imme are organizing, EVERYONE is participating and welcome!
2:15- 2:30 PM Break  
2:30 – 3:25 PM Think-pair-as-a-table-share activity on blue-sky ideas for years 6-10 Amy and DJ are organizing, EVERYONE is participating and welcome!
3:25 – 3:30 PM Closing session Amy McGovern
4 – 5:15PM  AMS Presidential Forum AMS 2024
6 PM Group dinner reservations at the Rusty Scupper Meet outside the convention center and we will do a group walk.