Two diagnostics fail systematically on models whose ocean grid is not rectilinear. Different exceptions, same apparent theme, so filing together — split if you would rather track them separately.
equilibrium-climate-sensitivity
33 succeeded, 11 failed.
iris.exceptions.CoordinateMultiDimError: Multi-dimensional coordinate not supported: 'latitude'
Failing models: AWI-CM-1-1-MR, CanESM5-1, EC-Earth3, FGOALS-f3-L, FIO-ESM-2-0, ICON-ESM-LR, IITM-ESM, IPSL-CM6A-LR.
A 2D latitude is what you get from a tripolar or unstructured ocean grid, and that set of models is consistent with it, though I have inferred the grid type from the model rather than reading the files.
enso-characteristics
4 succeeded, 5 failed.
ValueError: expected 0 or 2 bound values per cell
Failing model: AWI-CM-1-1-MR, which is FESOM and unstructured. Cell bounds on an unstructured mesh have a vertex count per cell that is neither 0 nor 2, so a routine assuming rectilinear bounds rejects them.
Why it matters
These are not marginal models. EC-Earth3 and IPSL-CM6A-LR are among the most heavily used in CMIP6, and EC-Earth3 alone is about 60% of the files in our archive. A diagnostic that cannot run on them loses a large share of the AFT ensemble, and it fails per model, so every member is lost together.
Both diagnostics succeed on the rectilinear-ocean models in the same run, so this is not an environment or data-availability problem.
Method
Attributed per execution from each run's own main_log_debug.txt rather than from the shared multi-process log, since the latter interleaves and invites mis-attribution.
Seen on climate-ref v0.16.2, climate-ref-esmvaltool 0.16.2, full CMIP6 historical solve of 11,170 datasets.
Two diagnostics fail systematically on models whose ocean grid is not rectilinear. Different exceptions, same apparent theme, so filing together — split if you would rather track them separately.
equilibrium-climate-sensitivity
33 succeeded, 11 failed.
Failing models: AWI-CM-1-1-MR, CanESM5-1, EC-Earth3, FGOALS-f3-L, FIO-ESM-2-0, ICON-ESM-LR, IITM-ESM, IPSL-CM6A-LR.
A 2D
latitudeis what you get from a tripolar or unstructured ocean grid, and that set of models is consistent with it, though I have inferred the grid type from the model rather than reading the files.enso-characteristics
4 succeeded, 5 failed.
Failing model: AWI-CM-1-1-MR, which is FESOM and unstructured. Cell bounds on an unstructured mesh have a vertex count per cell that is neither 0 nor 2, so a routine assuming rectilinear bounds rejects them.
Why it matters
These are not marginal models. EC-Earth3 and IPSL-CM6A-LR are among the most heavily used in CMIP6, and EC-Earth3 alone is about 60% of the files in our archive. A diagnostic that cannot run on them loses a large share of the AFT ensemble, and it fails per model, so every member is lost together.
Both diagnostics succeed on the rectilinear-ocean models in the same run, so this is not an environment or data-availability problem.
Method
Attributed per execution from each run's own
main_log_debug.txtrather than from the shared multi-process log, since the latter interleaves and invites mis-attribution.Seen on climate-ref v0.16.2, climate-ref-esmvaltool 0.16.2, full CMIP6 historical solve of 11,170 datasets.