WINGS in Flight: Accelerating Weather Innovation through Machine Learning
Presenters: Elena Fernandez, Ph.D. Candidate, University of Albany;
Lucas Howard, Ph.D. Candidate, University of Colorado Boulder
March 23, 2026
Presenters: Elena Fernandez, Ph.D. Candidate, University of Albany;
Lucas Howard, Ph.D. Candidate, University of Colorado Boulder
Lucas Harris (GFDL); Linjiong Zhou (Princeton University)
Saeed Moghimi (NOAA)
Dr. Jianping Huang
NOAA/NWS/NCEP/EMC
Dr. Patrick Campbell
George Mason University/NOAA-ARL Affiliate
Presenter(s): Philip Pegion, OAR/Physical Sciences Lab
Presenter(s): Dr. Lisa Bengtsson and Dr. Maria Gehne, Physical Sciences Laboratory (PSL)
Accelerating
innovation
through
community
modeling
Accelerating
innovation
through
community
modeling
The Unified Forecast System (UFS) is a community-based, coupled, comprehensive Earth modeling system. The UFS numerical applications span local to global domains and predictive time scales from sub-hourly analyses to seasonal predictions. It is designed to support the Weather Enterprise and to be the source system for NOAA’s operational numerical weather prediction applications.
