CMOR 3.7.0

Features

• CMOR automatically sets attributes in a dataset using the registered data listed in a project CV's source_id entry (e.g. Tables/CMIP6_CVs.json or 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. user_input.json).
• Added ability to write reftime and leadtime coordinates to datasets for forecast data.

Changes

• 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 cmor@listserv.llnl.gov to pcmdi-cmip@llnl.gov.
• Updated CMOR and CF versions listed in the Fortran wrapper.

Bugfixes

• PrePARE would crash if the experiment_id attribute is not present in a dataset. It will now check for the presence of experiment_id before further processing the dataset.
• PrePARE was generating errors when processing cell_methods values that contained multiple comments, which are substrings in parentheses embeded in the values. PrePARE can now handle cell_methods values 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.

Closed Issues

• 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

GitHub