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?

      1. Xylar: Boussinesq and non-hydrostatic. Need to think about both software engineering, but also think about the expense and where we need it.

   2. What processes require more improvements in scale awareness?

      1. Mark: if we’re running at eddy permitting, what parameterizations should we be thinking about? Need to think about how we transfer from low to high res

      2. Laure: think about backscatter (stochastic methods, non-newtonian). Eddy permitting is still bad at energy transfer

      3. Anand: can run regional model if cheap and accurate

   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?

   1. Luke: better leverage community work, connections to cpt, use dsls to accelerate progress. Shouldn’t reengineer everything

   2. Anand: have model that people can play with (e.g. single column mode)

   3. Xylar: improvements in compass would help make it more accessable

   4. Mark: post test cases after this release, improve readability of the code (deobfuscate!) but need to decide how much we can do

   5. Zhengyu: Can we work with universities?

   6. Wieslaw: community can contribute if there is good documentation, make process more user friendly

   7. Andrew: there is a community/E3SM gap

   8. Luke: this also makes things easier within E3SM

   9. Zhengyu: how do we better communicate with the community?

   10. Xylar: It’s time consuming for us to integrate others' work

   11. Luke: we need very clear code standards so people can do what we expect

   12. Kat: needs to be more communication for ocean BGC

   13. Xylar: BGC analysis would improve visability

   14. Luke: is there a reduced set of BGC that we can run?

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. Equation discovery is easy, neural net is more difficult (but not impossible once you discover the parameters)

   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.