CADRE–EPIC Data Assimilation Training & Science Workshop
June 1–5, 2026 | National Weather Center, University of Oklahoma | Norman, OK
The Consortium for Advanced Data assimilation Research and Education (CADRE, ucadre.org), in partnership with NOAA EPIC, will host a five-day data assimilation training and science workshop combining foundational instruction, advanced methods, hands-on coding exercises, and a new science workshop featuring invited talks and poster sessions. This event builds on the success of the 2025 training and provides participants with both theoretical background and practical experience using the Joint Effort for Data Assimilation Integration (JEDI), the data assimilation code to be used at NOAA and other operational centers.
Apply to Attend
Apply using the QR code or registration link provided.
Travel support is available for up to 50 graduate students. Use the registration application to indicate if you need travel support.
Event Overview
Location: National Weather Center, University of Oklahoma
Dates: June 1–5, 2026
Format: In-person only
Expected Participants: ~100 attendees from CADRE universities, NOAA, and external institutions
What the Event Includes
Training & Science Components
The workshop provides a comprehensive introduction to data assimilation (DA), combining foundational theory, practical training, and a science-focused workshop.
Core Training Topics
Bayesian methods and DA fundamentals
Kalman Filter, Ensemble Kalman Filter (EnKF), and 3D/4DVar
Hybrid methods and error covariance estimation
Nonlinear DA approaches (e.g., Particle Filters, Particle Flow)
Machine learning applications in DA
JEDI-EDU tutorials and full UFS-JEDI system training
Hands-on exercises culminating in a global DA demonstration
Science Workshop
CADRE-led and invited talks from DA researchers and practitioners
Focused sessions on ML in DA, observation errors, satellite and radar DA, aerosol and ocean DA, and coupled Earth system applications
Poster sessions highlighting participant and student research
Expert panel discussion
Tentative Schedule (5 Days)
Days 1–2: Bayesian foundations, Kalman/EnKF methods, 3D/4DVar, hybrid and nonlinear DA, JEDI-EDU tutorials, and capstone exercises
Day 3: Advanced ML in DA, full JEDI system training, and science workshop sessions
Days 4–5: Science workshop sessions, observation preprocessing and impact assessment, hands-on global DA exercises, a global DA demonstration, and panel discussion
Who Should Apply
This workshop is ideal for:
Undergraduate or graduate students new to DA
Students beginning DA-focused research
Researchers and professionals applying DA to Earth system prediction
NOAA and non-NOAA practitioners seeking JEDI training
No prior DA experience is required. Familiarity with programming, basic statistics, and linear algebra is recommended. Pre-read materials will be provided.
Participant Requirements
A laptop capable of running JEDI exercises
Software installation instructions will be provided prior to the workshop
Travel Support
CADRE will fund travel for up to 50 graduate students; applicants may request support in the registration form.
If you would like to attend, please fill out the application using the QR code below or this link.
