CMOR v3.0 Users Guide (Climate Model Output Rewriter; CMOR3)

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Authors: Charles M. Doutriaux, Karl E. Taylor, Christopher Mauzey, Denis Nadeau, Paul J. Durack
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Abstract

Features New chunking strategy to support CMIP7 repacking requirements. Chunking dimensions of the time and time bounds axes will be set to the length of the time axis, plus a dimension of size 2 for the bounds, if it is known when the time axis is created. Otherwise, the time and time bounds chunking dimensions will be set to 512 by default. Chunking dimensions for data variables will be determined by whether chunks can be at least 4 MB in size. If multiple time slices of data can fit within 4 MB, then chunking dimensions will have multiple time slices and full spatial dimensions of the data variable. If a single time slice is greater than 4 MB, then chunking dimensions will have one time slice with spatial chunking dimensions determined by the NetCDF library. The function cmor_set_chunking has been added to the API, allowing users to define NetCDF variable chunking dimensions. Setting the chunking dimensions with cmor_set_chunking will override the automatic chunking strategy for CMIP7 repacking. Bugfixes Fixed bug where using cmor.write with the store_with parameter will throw an error when time values are not passed. Changes Removed legacy Python 2 code from Python interface and unit tests. cmor_setup in the Fortran API will now allow the use of NetCDF4 functionality when setting the parameter netcdf_file_action with either "preserve_4", "append_4", or "replace_4". Closed Issues Repacking (#880) Allow users to manually define variable chunking through the API (#895) Error using store_with option in cmor_write (cmor 3.13) (#902) GitHub

Fields of Study & Subjects

Climate variability and models Scientific Computing and Data Management Environmental Monitoring and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026