data and validation

[burlen]

I'm using the sample_data.nc file you provide with the source code for validation but there are some small issues.

The time coordinates (month variable) are not specified in a standard way. For instance this variable does not have a calendar, and the units (Month Number) are not recognized by udunits.

Would it be possible to

1. change the units of the month variable to something more conventional such as "months since 1980-01-01"?
2. add a calendar attribute such as "standard" to the month variable?

In the run_sample.py you're passing q from the sample_data.nc file without conversion (here). The netcdf attributes in the file suggest that q is specific humidity while the tcpyPI documentation on states that a mixing ratio is required. Should there be a conversion applied?

[burlen]

for context our code parallelizes calculations over space and time such that a large climate dataset can be processed concurrently using high performance computing hardware. Various pieces of the system depend on standardized time dimension. We're using tcpyPI and would like to validate directly on the data you provide.