To support the WMO/UNEP Scientific Assessment of Ozone Depletion Report 2022, we are asking modelling groups to perform a number of simulations to allow for both an assessment of the models, the first comprehensive assessment of model performance since CCMVal-2 in 2010, and longer scenario simulations to project ozone recovery.
All the details of the setup and forcings for the first model experiment, the refD1 historical hindcast simulation covering 1960 – 2018 and using forcing as closely following the observed historical evolution, can be found here.
In addition to the historical simulation, two scenarios have been defined and assigned a high priority to provide updated projections of ozone recovery (refD2) and information on the effects of geoengineering through stratospheric aerosol injection (senD2-sai). Additional, lower priority, scenarios are included to explore different CMIP6 SSPs. The detailed description of the experimental setup for the scenario simulations can be found here.
Although not as detailed, a summary of the experiments can be found on pages 22 – 30 of the July 2021 SPARC Newsletter (No. 57).
The Data Archive
Thanks to efforts of all the modelling groups who have setup and run simulations, and converted the requested data into netCDF files, and the efforts of people at the Centre for Environmental Data Analysis (CEDA) to check the format and metadata of the submitted data, the archive of model output is now accessible! Our thanks to all of you for having gotten us this far. More details on the archive, including participating models and how apply for access can be found at https://blogs.reading.ac.uk/ccmi/ccmi-2022_archive/.
Data request, netCDF conversion and data submission
An excel spreadsheet version of the data request for all model experiments can be found here. Model data is to be provided in version 4 netCDF, with all metadata following the CF (Climate and Forecast) conventions. As such, we strongly recommend groups use the CMOR utility for the generation of the netCDF files.
The MIP tables (or CMOR tables) in json format for use with CMOR3 can be found on github at https://github.com/cedadev/ccmi-2022/. Note that the institution_id and source_id for each model submission must be registered in the reference version of the controlled vocabulary json file (CCMI2022_CV.json) used for quality control at CEDA. Before converting data, please e-mail us with the information for your group and model so that it can be included.
Instructions on how to submit data to CEDA can be found in this pdf document.
We do strongly encourage groups to use CMOR for netCDF file conversion as CMOR should check all of the required metadata is correctly formatted and matches the specifications in the controlled vocabulary. If you are not using CMOR, please pay special attention to the case (lower and upper case) of the letters in variables like experiment_id. For example, ‘REFD1’ and ‘RefD1’ are not considered a match for the specified experiment_id ‘refD1’ and quality control will fail.
Ancillary Information on Forcings
Additional information on modified forcing datasets for the refD1 experiment (the specified near-surface concentration for methane and a number of the ozone depleting substances) and the QBO forcing can be found here.