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What are the grand challenges in ocean/ice modeling? For example:
What are the key missing or more uncertain processes that should be prioritized for model development?
What processes require more improvements in scale awareness?
Is there a game-changing scale for modeling processes in each component?
Can we develop a heirarchy of models that actually informs coupled modeling efforts?
Is there something between forced ocean sea ice and fully coupled runs?
“pencil atmosphere”
FAFMIP
other?
Zhengyu Lui: what is minimum set? He agreed this is a good idea, going from simple to fully coupled.
How can we overcome these challenges and accelerate progress?
What opportunities/recent advances can E3SM leverage?
How can we improve E3SM’s development and evaluation process? For example:
How could development better target known biases?
How can we ensure good coupled model behavior while developing component models?
How can development and evaluation be made more efficient?
machine learning:
Zanna: used equation discovery in machine learning.
Anand: had a student who worked on machine learning. They found that you turn up things, like you need to have a more accurate advection scheme - you are loosing the curvature of the field, need to put that back in, as you change resolution.