A satellite captures an atmospheric river from space. The white, banding plumes stretch across the Pacific and make landfall on the U.S. West Coast, with the curvature of Earth still in frame.

Atmospheric River Workshop

Event Location: Virtual
April 22-23, 2025

11AM – 5PM EDT

This invite-only, virtual event is a two-day Atmospheric River (AR) workshop that will include presentations from the Earth Prediction Innovation Center (EPIC), Global Systems Laboratory (GSL), Physical Sciences Laboratory (PSL), Weather Program Office (WPO), Environmental Modeling Center (EMC), Weather Prediction Center (WPC), National Weather Service (NWS), Center for Western Weather and Water Extremes (CW3E), Cooperative Institute for Research to Operations in Hydrology (CIROH) and others to highlight recent advances and future work in AR science, modeling, forecasting, impacts and more.  The workshop will also include running applications such as GraphCast, FourCastNetv2, and PanguWeather for an AR event impacting the United States west coast.

Atmospheric River (AR) Workshop Recap

The 2025 Atmospheric River (AR) Workshop brought together researchers, forecasters, and model developers from the Earth Prediction Innovation Center (EPIC), Global Systems Laboratory (GSL), Physical Sciences Laboratory (PSL), Office of Modeling and Development (OMD), Weather Prediction Center (WPC), Center for Western Weather and Water Extremes (CW3E), Cooperative Institute for Research to Operations in Hydrology (CIROH) and partner organizations to discuss recent advances in atmospheric river (AR) prediction, modeling, data assimilation (DA), machine learning (ML), verification, and operational applications.

The workshop highlighted progress across the UFS-AR project and related forecasting systems, including developments in AR modeling, DA frameworks, model verification and validation, AI/ML-enabled prediction techniques, and hydrologic applications supporting water-resource management and reservoir operations. Participants also shared research on forecasting extreme precipitation events, improving the use of observational data, and advancing next-generation modeling systems and workflows.

major focus of the workshop was the transition of research capabilities into operational forecasting environments, including discussions on emerging modeling frameworks, community-accessible workflows, containerized applications, and future directions for AR prediction. Sessions explored ML applications for precipitation forecasting, DA, and hydrologic prediction, as well as the role of AR forecasts in decision support for water management and hazard preparedness.

The workshop concluded with breakout discussions focused on DA, modeling system evolution, and operational implementation strategies, providing participants with an opportunity to identify future research priorities and strengthen collaboration across the AR research and operations community.

Session Feedback:

Data Assimilation

Participants emphasized the importance of continued investment in JEDI-based DA capabilities while recognizing the need to further mature and optimize these systems to support future operational forecasting requirements.

AR Focused Modeling Improvements

Participants highlighted the importance of reducing redundancy across modeling systems, strengthening model evaluation frameworks, and focusing development efforts on approaches that maximize forecast improvements for AR prediction.

Workshop Demo

The AI-AR demonstration, utilizing a Google Colab notebook, showcased the use of GraphCast, an AI-based weather prediction model, to forecast and analyze a U.S. West Coast atmospheric river event within a cloud-based training environment. The hands-on exercise familiarized participants with AI forecasting workflows, model execution, and visualization of atmospheric river impacts.

Update as of March 2026:

The Atmospheric River Analysis and Forecast System, or AR-AFS, is now running in experimental mode. Click here for more information.

Agenda/Workshop Schedule​

Day 1 - Tuesday, April 22nd 

10:45 AM – Google Meet Sign in

11:00 AM – Welcome and Opening Remarks

11:10 AM – Session 1: AR system overview and impacts + Other stakeholder conversations

11:10 AM – WPO: Perception, response, and impact, a cross-science perspective

11:25 AM – EMC: Assessment of 2023 Extreme Precipitation Events on the U.S. West Coast Using AR-AFS

11:55 AM – Break

12:10 PM – Session 2: Advances in Data Assimilation

12:10 PM – Data Assimilation for AR Prediction

12:25 PM – JEDI-inline DA

12:40 PM – Machine learning for data assimilation

1:00 PM – Lunch Break

2:00 PM – Session 3: Enhanced AR prediction with ML techniques

2:00 PM –  CW3E’s AI and ML R&D to improve QPF and prediction of ARs

2:15 PM – Development of the nested AI model

2:30 PM – CIROH: Deep learning ensemble predictions of forcings for hydrological modeling

2:45 PM – GSL: Development of a Data-Driven Convection-Allowing Model

3:05 PM – Advancements in UFS S2S Modeling: Improving Tropical Variability and Its Impact on Atmospheric River Prediction

3:20 PM – Break

3:30 PM – Session 4: EPIC AI for AR Demonstration

5:00 PM – Closing

Day 2 - Wednesday, April 23rd

10:45 AM – Google Meet Sign in

11:00 AM – Welcome; Recap of Day 1; Preview of Day 2

11:10 AM – Session 5: Advances in Modeling/Research

11:10 AM – Modeling system advancements for AR applications

11:25 AM – CW3E: SABL research 

11:40 AM – CW3E: West-WRF ensemble 

12:00 PM – Break

12:15 PM – Session 6: Model Verification and Validation

12:15 PM – Case studies of AR events

12:30 PM – Application of MATS interactive verification

12:45 PM – PEAR Highlights and AR QPF Verification

1:00 PM – Improving predictability of AR-related extreme precipitation in California through ensemble processing

1:15 PM – Lunch Break

2:00 PM – Session 7: Break out sessions

2:00 PM – DA and transition from GSI to JEDI

2:00 PM – Modeling and transition from FV3 to MPAS

2:00 PM – EMC AR-AFS – options for CCPP based physics configurations & Ocean Coupling

3:15 PM – Break

3:30 PM – Reconvene with break out session notes read out

5:00 PM – Closing

Registration

Forum: Online/Virtual

 

Time (MST) Content Content Content link Presenter
8:00AM -
10:00AM
Running Graphcast/
FourCastNetv2/
PanguWeather
This notebook will go over running the AI models that have the greatest traction right now in industry. GitHub - NOAA-GSL/ai-notebooks

Keven/Mariah/Raghav
10:00AM -
12:00 PM
Anemoi Framework A mono-repo containing core training and modelling functionality for Anemoi, providing the packages anemoi-training, anemoi-models, and anemoi-graphs. GitHub - ecmwf/anemoi-core: Core packages for Anemoi.

Mariah/Raghav
12:00PM -
1:00PM
LUNCH LUNCH


1:00PM -
3:00PM
Special Guest Special Guest
Special Guest
3:00PM -
4:00PM
Special Guest Special Guest
Special Guest

Instructors:

  • Alex Burrows
  • Mark Potts