More Groupers / user stories / strategies

We need more discussion of strategies to label groups or perhaps just more convenient Grouper objects

• QuantileBinGrouper?

  • https://github.com/pydata/xarray/discussions/7110

• SeasonGrouper?

  • https://github.com/pydata/xarray/discussions/6664 : JF,MAM,JJAS,OND
  • https://stackoverflow.com/questions/70658388/how-to-select-djfm-season-instead-of-xarray-groupby
  • https://stackoverflow.com/questions/68455725/how-to-enable-season-selection-as-jjas-instead-of-jja-in-xarray
  • rolling groupby : https://github.com/pydata/xarray/discussions/6180 - this in particular could be a special-case of SeasonGrouper. We can detect overlaps. and set up the problem appropriately.

• SeasonResampler:

  • https://stackoverflow.com/questions/71260515/xarray-resample-data-to-variable-length-seasonal-frequencies/71270288#71270288
  • https://github.com/pydata/xarray/discussions/6865
  • https://stackoverflow.com/questions/71755223/group-by-custom-period-annually-in-xarray/71757404#71757404

• https://github.com/pydata/xarray/discussions/7502

• ResampleGrouper to complement TimeResampleGrouper: https://github.com/pydata/xarray/issues/4008 : ?

• DayofYearGrouper:

  • Handling dayofyear with leap years is also a common issue: https://stackoverflow.com/questions/68677362/daily-climatology-in-xarray-with-leap-years-accounted-for

Start by reviewing the linked xarray discussions and examples for SeasonGrouper, SeasonResampler, QuantileBinGrouper, ResampleGrouper, and DayofYearGrouper. The issue does not identify files, tests, or a chosen strategy; progress would require narrowing this list to one agreed Grouper design and defining its implementation and tests.