- CMOR automatically sets attributes in a dataset using the registered data listed in a project CV’s source_id entry (e.g.
Tables/input4MIPs.json), reducing the input requirements from a user. This feature can be overridden by setting the attributes in the user input file (e.g.
- Added ability to write
leadtimecoordinates to datasets for forecast data.
- End of support for Python 3.6.
- CMOR now supports Python 3.10.
- The CCLRC license has been replaced with a BSD-3 license.
- Updated warning and error messages from retired listserv email address email@example.com to firstname.lastname@example.org.
- Updated CMOR and CF versions listed in the Fortran wrapper.
- PrePARE would crash if the
experiment_idattribute is not present in a dataset. It will now check for the presence of
experiment_idbefore further processing the dataset.
- PrePARE was generating errors when processing
cell_methodsvalues that contained multiple comments, which are substrings in parentheses embeded in the values. PrePARE can now handle
cell_methodsvalues containg mulitple comments.
- Fixed error caused by an error message exceeding the maximum string size when an attribute value cannot be validated with a list of values from the CV.
- Corrected typo in udunits initialization message.
- Remove Python 3.6 build
- Issue with json-c and Python 3.6 builds
- implement lead time coordinate
- Illegal instruction error when region attribute is not found in the CV
- Python 3.10 support
- PrePARE UnicodeDecodeError when scanning dummy NO_ATTRIBUTES.nc netCDF file
- Typo correct in UDUNIT initialization
- PrePARE is having issues handling handling cell_methods values containing multiple comments
- License template update
- Cleaning up CMOR input file vs registered content sources
- Update CMOR mailing list email address
- Add BSD-3 license to repo