Dataset
CCMI-2022: refD1 data produced by the SOCOL model at ETH-PMOD
Abstract
This dataset contains model data for CCMI-2022 experiment refD1 produced by the SOCOL (SOlar Climate Ozone Links) model run by the modelling team at ETH-PMOD (Swiss Federal Institute of Technology Zurich and the Physical-Meteorology Observatory Davos).
The refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.
The CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.
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Sources of additional information
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The following web links are provided in the Details/Docs section of this catalogue record:
- Atmosphere-Ocean-Aerosol-Chemistry-Climate Model SOCOLv4.0: description and evaluation.
- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Use of these data is covered by the following licence(s): https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data were generated using the SOCOLv4.0 model at T63 horizontal resolution over the global domain. CCMI-2022 data has been converted to CF-netCDF by the model team using CDO and CMOR3 then passed on to the CEDA for archiving. |
| Data Quality: |
Data checked by provider prior to archiving. Data passed CEDA quality control procedure, ceda-cc.
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| File Format: |
netCDF
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Related Documents
Process overview
| Title | CCM SOCOLv4.0 deployed on CSCS Piz Daint computer |
| Abstract | CCM SOCOLv4.0 deployed on CSCS Piz Daint computer |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- standard_name: mole_fraction_of_chlorine_nitrate_in_air
- long_name: ClONO2 Volume Mixing Ratio
- units: mol mol-1
- var_id: clono2
- units: m
- standard_name: geopotential_height
- var_id: zg10
- long_name: Geopotential Height at 10hPa
- standard_name: mole_fraction_of_methane_in_air
- long_name: Mole Fraction of CH4
- var_id: ch4
- units: mol mol-1
- units: K
- standard_name: air_temperature
- var_id: tas
- long_name: Near-Surface Air Temperature
- units: m
- standard_name: height
- var_id: height
- long_name: height
- var_id: lat_bnds
- var_id: lon_bnds
- units: Pa
- standard_name: air_pressure
- long_name: pressure
- var_id: plev
- var_id: time_bnds
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- long_name: Latitude
- units: degrees_east
- standard_name: longitude
- var_id: lon
- long_name: Longitude
- long_name: time
- standard_name: time
- var_id: time
- units: days
Temporal Range
1960-01-01T00:00:00
2018-12-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
|
-90.0000° |