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CDS users are directed to the CMIP6 ES-DOC Errata Service for known issues with the wider CMIP6 data pool. Data that is provided to the CDS either should not contain any errors, or minor errors should be listed in the Errata Service. Additionally, the Errata Service is also a useful resource for CDS users as data may have been withheld from the CDS for justifiable reasons. Since the current CMIP6 data in the CDS was prepared in late 2020/early 2021, some data may have been updated or removed on ESGF since then. Please note that the IPCC and C3S Atlas datasets published later included additional rigorous quality control, so the CMIP6 data there are not affected by any inconsistencies mentioned below.
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A training resource in python is available via a Jupyter Notebook on the C3S data tutorials page here: https://ecmwf-projects.github.io/copernicus-training-c3s/projections-cmip6.html
The C3S EQC function produces quality assessments of CDS data in the form of Jupyter Notebooks. While these are in the context of specific user questions, they may serve as useful examples more generally. The assessments available for the CMIP6 data can be found here: https://ecmwf-projects.github.io/c3s2-eqc-quality-assessment/Climate_Projections/climate.html.
References
Durack, P J. (2020) CMIP6_CVs. v6.2.53.5. Available at: https://github.com/WCRP-CMIP/CMIP6_CVs (Accessed: 26 October 2020).
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