MMC Methods to Meet the Wind Industry’s Needs

Agenda Track
Agenda Track


Day 1 - Sep 14, 2022


Day 2 - Sep 15, 2022



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