This message came from the CF Trac system. Do not reply. Instead, enter your comments in the CF Trac system at https://cf-pcmdi.llnl.gov/trac/.
#95: Development of CF 1.5 Data Model -----------------------------+---------------------------------------------- Reporter: markh | Owner: [email protected] Type: task | Status: new Priority: medium | Milestone: Component: cf-conventions | Version: Resolution: | Keywords: -----------------------------+---------------------------------------------- Comment (by markh): Replying to [comment:34 markh]: For example, consider two instances of Fields which declare 6 domain axes [1, 23, 1, 1, 1, 712] and define a data array of shape [23, 1, 712] The dimension_coordinates each contain 6 coord instances, in the order of the domain axes these are: forecast reference time (1) ensemble member (23), time (1), height (1), northing (1) easting (712) The two fields differ in their data and the values of time and forecast reference time only. So, I should be able to combine the two fields into a single field, by inspecting their domains and sampling. But, I do not know whether the time coordinate is referencing the domain axis defining the Field's second dimension, of size one, or if it defines a domain axis not explicit in the data array. As such I cannot decide whether the resultant Field's data array should have a shape of [23, 2, 712] or [23, 2, 1, 712] I feel this situation can arise too often if we declare the domain axes as 1 ordered list of sizes, then omit an arbitrary number of size 1 instances from the Field's data array. I think [comment:34 my proposal] addresses this issue. -- Ticket URL: <https://cf-pcmdi.llnl.gov/trac/ticket/95#comment:35> CF Metadata <http://cf-pcmdi.llnl.gov/> CF Metadata This message came from the CF Trac system. To unsubscribe, without unsubscribing to the regular cf-metadata list, send a message to "[email protected]" with "unsubscribe cf-metadata" in the body of your message.
