Agendas, Presentations, and Resources
Videos
Day 1 - Sep 14, 2022
Day 2 - Sep 15, 2022
Agenda
Day 1 - Sep 14, 2022 (times are in MDT)
9:00 Welcome and A2e Program Overview: Mike Derby, DOE WETO
- A2e Program Goals and Accomplishments
9:15 Introduction to MMC Methods and Research Questions: Sue Ellen Haupt, NCAR
- Rationale for using MMC
- Research questions addressed
- Overview of tools produced and archived
9:45 Mesoscale Forcing for Microscale Simulations Branko Kosović, NCAR
- Forcing with large scale pressure gradients
- Forcing with mesoscale tendencies
- Nesting LES within a mesoscale domain
- Modeling real gravity waves
10:15 Coupling Methods: William Lassman, LLNL
- Overview of methods
- Intercomparison
- Lessons learned and best practices
10:45 Break
11:15 Initializing Unresolved Turbulence at the Microscale: Jeff Mirocha, LLNL
- Why is this needed?
- Methods that can be used
- Lessons learned and best practices
11:45 Modeling in Complex Terrain: Regis Thedin, NREL
- Overview of MMC on complex terrain
- Practical numerical issues
- Lessons learned and best practices
12:15 Modeling in the Terra Incognita (Grey Zone): Raj Rai, PNNL
- What is it and why does it matter?
- Demonstration of simulations in that zone
- Lessons learned and best practices
12:45 3DPBL Parameterization for WRF: Tim Juliano, NCAR
- Motivation and approach
- Considerations for convective conditions
- Improvements in cold pool and LLJ simulations
1:00 Adjourn for the day
Day 2 - Sep 15, 2022
9:00 Dealing with Spurious Gravity Waves: Matt Churchfield, NREL
- Atmospheric gravity waves
- How they can be generated spuriously in some codes
- Potential resolutions
9:30 Surface and Boundary Conditions: Jeff Mirocha, LLNL
- Maintaining consistency across scales
- What to use when
- Lessons learned and best practices
10:00 Offshore Wind Modeling: Pat Hawbecker, NCAR
- Special issues for offshore models
- Comparison of SST and surface roughness schemes
- Lessons learned and best practices
10:30 Progress in Machine Learning Applications: David John Gagne and Susan Dettling, NCAR
- ML Surface Layer scheme
- Downscaling from mesoscale to microscale with deep learning
- Progress and prospects
11:00 Break
11:30 Documentation and Common Verification for Research Reproducibility: Eliot Quon, NREL
- Read the Docs living documentation
- Open-source analysis tools
- Repository of models, model inputs, and analyses
12:00 Summary and Continuity: Larry Berg, PNNL
- Where did we start?
- Key findings over the life of the project.
- How can you leverage the progress that’s been made?
12:30 What’s Next for DOE Atmospheric Science Research? Shannon Davis, DOE WETO
- New projects coming
- How MMC tools are being used in new projects
1:00 Adjourn