By Spatial Dimensionality / 5D
Use case: Simplify calendar handling in the
E-OBS dataset of daily mean temperatures over Europe since 1951.
A problem with the time axis is that aggregated time units, such as months and years, are highly
To this end, the single time axis has been unfolded into further time axes, each one representing
one level of granularity
of extra time dimensions to obtain one dimension per temporal granularity unit. In such a "ragged"
setup, a cube has
day, followed by the spatial
Cells going beyond the day limit in a month are set to null. This allows convenient access on all
levels of detail by simply using
the subsetting and aggregating functionality.
The Service: The below WCPS queries demonstrate data extraction and processing at various temporal intervals.