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Dataset

 

CCMI-2022: refD2 data produced by the ACCESS-CM2-Chem model at CSIRO

Latest Data Update: 2022-10-19
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2023-03-16
Download Stats: last 12 months
Dataset Size: 364 Files | 212GB
Abstract

This dataset contains model data for CCMI-2022 experiment refD2 produced by the ACCESS-CM2-Chem chemistry-climate model run by the modelling team at the CSIRO (Commonwealth Scientific and Industrial Research Organisation) ARCCSS (Australian Research Council Centre of Excellence for Climate System Science).

The refD2 experiment is the baseline projection for updated projections of ozone recovery. Specified forcings largely following the same specifications as for the SSP2-4.5 scenario of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), with the exception of the near-surface mixing ratio of Ozone Depleting Substances which follow the baseline projection from WMO (2018).

SSP2-4.5 is a Shared Socio-economic Pathway scenario that follows socio-economic storyline SSP2 with intermediate mitigation and adaptation challenges and climate forcing pathway RCP4.5 which leads to a radiative forcing of 4.5 Wm-2 by the year 2100.
WMO-2018 refers to the Scientific Assessment of Ozone Depletion: 2018.

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:
- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)
- 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

Citable as:  Dennison, F. (2023): CCMI-2022: refD2 data produced by the ACCESS-CM2-Chem model at CSIRO. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/c846354527ed4901a09d06baffa54ae2
Abbreviation: Not defined
Keywords: CCMI-2022, refD2, SSP245, Hindcast, Scenario, ACCESS-CM2-Chem, CSIRO

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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: 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:

These data are original data produced by the ACCESS-CM2-Chem model at CSIRO following processing by CMOR which rewrote the data to be consistent with CMIP6, CF-1.7 and CF standards.
Data Quality:
Data are as given by the data provider, ceda-cc quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
net-CDF

Related Documents

 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 et al. (2021), SPARC Newsletter, volume 57, p 22-30
 Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)

Process overview

This dataset was generated by the computation detailed below.
Title

ACCESS-CM2-Chem model deployed at CSIRO, ARCCSS
Abstract

ACCESS-CM2-Chem model deployed at CSIRO, ARCCSS
Input Description

None
Output Description

None
Software Reference

None
  • units: K
  • standard_name: air_temperature
  • var_id: ta
  • long_name: Air Temperature
  • standard_name: mole_fraction_of_methyl_hydroperoxide_in_air
  • long_name: CH3OOH Volume Mixing Ratio
  • units: mol mol-1
  • var_id: ch3ooh
  • standard_name: mole_fraction_of_nitrous_oxide_in_air
  • long_name: Mole Fraction of N2O
  • var_id: n2o
  • units: mol mol-1
  • long_name: OH Volume Mixing Ratio
  • standard_name: mole_fraction_of_hydroxyl_radical_in_air
  • units: mol mol-1
  • var_id: oh
  • units: m
  • long_name: Surface Altitude
  • standard_name: surface_altitude
  • var_id: orog
  • units: m
  • var_id: lev_bnds
  • standard_name: atmosphere_hybrid_height_coordinate
  • units: m
  • var_id: lev
  • long_name: hybrid height coordinate
  • standard_name: atmosphere_hybrid_height_coordinate
  • var_id: lat_bnds
  • var_id: lon_bnds
  • var_id: plev_bnds
  • units: Pa
  • standard_name: air_pressure
  • long_name: pressure
  • var_id: plev
  • var_id: time_bnds
  • var_id: b
  • long_name: vertical coordinate formula term: b
  • long_name: vertical coordinate formula term: b(k+1/2)
  • var_id: b_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
Coverage
Temporal Range
Start time:
1960-01-01T00:00:00
End time:
2101-01-01T00:00:00
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (1)
Publishers (1)