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Dataset

 

CCMI-2022: senD2-fix data produced by the CMAM model at CCCma

Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2024-11-13
Download Stats: last 12 months
Dataset Size: 95 Files | 21GB

Abstract

This dataset contains model data for CCMI-2022 experiment senD2-fix produced by the Canadian Middle Atmosphere Model (CMAM) run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis) in the Climate Research Division of Environment and Climate Change Canada for the Chemistry Climate Modelling Initiative (CCMI).

It used a baseline (SSP2-45) with a modified specified stratospheric aerosol distribution using a repeated annual cycle of the WACCM-calculated Surface Area Density (SAD) for 2025 (the WACCM background before stratospheric aerosol injection was initiated) and with specified SSTs/sea-ice as in senD2-sai.

The senD2-sai simulation is based on the refD2 experiment but with a modified specified stratospheric aerosol distribution reflecting increased stratospheric aerosol amounts from stratospheric aerosol injection (SAI). Sea ice and sea surface temperatures (SSTs) are specified to follow a repeating annual cycle taken from those used by the same model for their refD2 experiment over 2020 - 2030, the period when SAI is assumed to have been initiated.

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:  Plummer, D. (2024): CCMI-2022: senD2-fix data produced by the CMAM model at CCCma. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/775ba04c5819456fab59cc33f80760ca/
Abbreviation: Not defined
Keywords: CCMI-2022, senD2-fix, senD2-sai, refD2, SSP245, Scenario, CMAM, CCCma, ECCC

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(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 produced by scientists at the Canadian Centre for Climate Modelling and Analysis (CCCma) and published by the Centre for Environmental Data Analysis (CEDA).

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:
DAta are NetCDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title

CMAM model deployed at CCCma

Abstract

Canadian Middle Atmosphere Model (CMAM) is a well-established high-top chemistry-climate model deployed at Canadian Centre for Climate Modelling and Analysis (CCCma).

Input Description

None

Output Description

None

Software Reference

None

No variables found.

Coverage
Temporal Range
Start time:
2025-01-01T00:00:00
End time:
2100-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°
 
Related parties
Authors (1)
Principal Investigators (1)