Notes from the breakout 2020 CF Workshop breakout is now available as a [Google document](https://docs.google.com/document/d/1dZ1hgreTQMMWwBb0tITNZ1JluQtBFVUNaJ_4Mm_T8ug/edit).
Highlights: * Climatological cycles were highlighted as an important concept that distinguishes time from other dimensions. In addition to the usual diurnal and annual cycles, tidal cycles, and the weekly air pollution cycle were briefly mentioned. * There is a distinction between (i) a dataset that represent conditions at a specific time in a typical cycle created by averaging over a number of cycles, and (ii) a dataset that represent the time evolution over a number of cycles. * Without a specific mechanism (attribute) intended to identify which type of dataset it is, this distinction has to be inferred from dissecting the bounds of the time coordinate. * The need for a more flexible mechanism multi-step processing (along the time dimension) was discussed. The [suggestion from Martin](https://github.com/cf-convention/cf-conventions/issues/197#issuecomment-533775854) was seen as a good starting point. It was suggested to include kekwords for cycles. * It was concluded that more work is needed to develop a detailed proposal. To help this process it would be useful to have concrete use cases. Everyone is encouraged to provide such, either here in this issue thread, or in the Breakout Notes (link above) -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/cf-convention/cf-conventions/issues/197#issuecomment-642486427 This list forwards relevant notifications from Github. It is distinct from [email protected], although if you do nothing, a subscription to the UCAR list will result in a subscription to this list. To unsubscribe from this list only, send a message to [email protected].
