Loading global data and taking a subset for computing heat content on 1 year of data takes varying time according to the method:
- with COAsT it took over 1h15 (it actually didn't finish because of a bug),
- with Xarray and the preprocessing partial function it took 12m55,
- with Dask it took 6m47.
Does this bug in (1) still exist?
Investigate feasibility of implementing speed ups in COAsT.
AC:
-
-
Propose ticket for speeding up COAsT users (ideally a solution using COAsT.gridded() but worse case e.g. just ADDITIONAL documentation about how to use Dask.