Page Comparison

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1. What are the grand challenges in ocean/ice modeling? For example:

   1. What are the key missing or more uncertain processes that should be prioritized for model development?

   2. What processes require more improvements in scale awareness?

   3. Is there a game-changing scale for modeling processes in each component?

   4. Can we develop a heirarchy of models that actually informs coupled modeling efforts?

      1. Is there something between forced ocean sea ice and fully coupled runs?

         1. “pencil atmosphere”

         2. FAFMIP

         3. other?

      2. Zhengyu Lui: what is minimum set? He agreed this is a good idea, going from simple to fully coupled.

2. How can we overcome these challenges and accelerate progress?

3. What opportunities/recent advances can E3SM leverage?

4. How can we improve E3SM’s development and evaluation process? For example:

   1. How could development better target known biases?

   2. How can we ensure good coupled model behavior while developing component models?

   3. How can development and evaluation be made more efficient?

5. machine learning:

   1. Zanna: used equation discovery in machine learning.

   2. 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.