Sometimes observational time series contain multidimensional variables, like a light sensor with various channels, represented like the variable light_measurements in the example below:
This is actually not a CF-Compliant DSG featureType=timeSeries file as indicated, and these multi-dimensional variables must be split out and represented as a different featureType, such as featureType=grid.
This is key, we aren't trying to support datasets like this. You should use xarray, or wait for CF 2.0 and put the light_measurement variable into another group!
Sometimes observational time series contain multidimensional variables, like a light sensor with various channels, represented like the variable
light_measurements
in the example below:This is actually not a CF-Compliant DSG
featureType=timeSeries
file as indicated, and these multi-dimensional variables must be split out and represented as a differentfeatureType
, such asfeatureType=grid
.