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  • Coupled team had a severe need for a package to produce "top-ten" diagnostics.  We produced this tool in response to their request. 
  • We designed it to be familiar to you, look-and-feel is similar to AMWG.  But some improvements:
    • Unlike AMWG, this package is python-based and modular.
    • You can more easily add new plots, code to produce these can be written in python, but other languages can also be used if package can call/link to them.
      • currently using matplotlib (in python)
      • can use other things such as NCL if willing to maintain these on an "opt-in basis"
    • Extensible to include tier 1B
    • quick and easy to run, has validation, reproducibility
    • conda-based (runs in conda python environment)
  • Questions?
    • Rich: Do you envisage this as a single script that could control all the Tier 1b collections?  Could see some benefits, but also some drawbacks to doing it that way.
      • Kate: could use this as a top-tier script that calls other things, or the other way around, or run it within a larger outer shell as one of a number of other things.
      • Kate: hopefully people will work on improving components (e.g. the web page)
    • Rich: graphics: how good are they at doing non-standard plots?  Is the functionality really there in python?