8.4 COLLECTIONS OF TIME SERIES

NOTE: Sections 8.1 through 8.6 refer to dataset organization and techniques previous to the Discrete Sampling Geometries Standard in CF.  Skip to Section 8.10 for discussion of Discrete Sampling Geometries data.  Support for Discrete Sampling Geometries datasets begins with PyFerret/Ferret v7.6.

Handling of collections of time series is analogous to handling collections of vertical profiles, described above. The choices of

1. a single interpolated time axis (using the default, GT=@LIN, regridding)

2. a super-set of all times axis (using "exact match," GT=@XACT, regridding)

should be considered. Choice 3, in which time would be handled as an independent variable, is possible, but awkward, due to the multiplicity of time encodings.