Unpublished CMIP7.DAMIP.CCCma.CanESM6-0-MR.hist-GHG (v1)

General Information


Name CMIP7.DAMIP.CCCma.CanESM6-0-MR.hist-GHG
Abstract Project: CMIP7

Detection and attribution model intercomparison project: exploration of the role of individual forcings (both anthropogenic and natural) in past and future climate change.

Produced by: Environment and Climate Change Canada (Using Model/Source: CanESM6-0-MR with Experiment hist-GHG)

CanESM6-0-MR is a fully coupled ESM developed by CCCma with a nominal resolution of 1 degree. It includes the Canadian Atmospheric Model version 6 (CanAM6), based on the GEM dynamical core and Yin Yang grids, with the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSICv1.5) embedded. The ocean is represented via an adapted version of the NEMO4.2.2 ocean model with the Canadian Model of Ocean Carbon (CMOC) and the NEMO Sea Ice Engine (SI3) embedded on the eORCA1 grid. The model components are coupled together based on a bespoke Canadian Coupler (CanCPL), built on the ESMF infrastructure. This version of the model does not simulate prognostic atmospheric-chemistry. Land ice is specified and static.

Experiment: Response to historical greenhouse gas forcing (with extension using forcings from the `m` scenario simulation). All other conditions are kept the same as piControl.

CMIP7 is a project of the World Climate Research Programme (WCRP), providing climate projections to understand past, present, and future climate changes. It is part of the WCRP Earth System Modelling and Observations (ESMO) Core Project, which was formed to coordinate all modelling, data, and observation activities across WCRP and its key partners. Further details can be found here and in the CMIP7 Guidance pages. Parties using CMIP data should ensure they have read the WCRP CMIP (2026) CMIP Data Disclaimer.

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Rights Creative Commons Attribution 4.0 International License (CC-BY-4.0)
License CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.

Note: This citation is currently unpublished. DOI and referencing information will appear here once the citation is published.


CMIP7 Facets


Activity DAMIP
Experiment hist-GHG
Institution CCCma
Project CMIP7
Source CanESM6-0-MR

Data Access

This citation record represents all ESGF-NG data corresponding to the search facets above. See the abstract for details on any limitations of coverage. The data can be discovered using either the ESGF STAC API directly or by viewing the Metagrid Search interface to ESGF-NG.


Python Client

Interfacing with the STAC API can be done programatically in python using the pystac client or similar. Below is an example code snippet to fetch items to which this Citation record applies.


from pystac.client import Client

cli = Client.open("https://search.east.esgf.io")
cli.search(
   collections=["CMIP7"],
   query=[
      "cmip7:experiment_id=hist-GHG",
      "cmip7:activity_id=DAMIP",
      "cmip7:source_id=CanESM6-0-MR",
      "cmip7:institution_id=CCCma",
])
                    

Responsible Parties


Name Role
Citation Support Primary

Funding Streams


Stream Name Affiliation

Affiliated Institutions


Institution Country
Environment and Climate Change Canada Canada
Cites Swart, N. C., Cole, J. N. S., Kharin, V. V., Lazare, M., Scinocca, J. F., Gillett, N. P., Anstey, J., Arora, V., Christian, J. R., Hanna, S., Jiao, Y., Lee, W. G., Majaess, F., Saenko, O. A., Seiler, C., Seinen, C., Shao, A., Sigmond, M., Solheim, L., et al. (2019) . The Canadian Earth System Model version 5 (CanESM5.0.3). Geoscientific Model Development, 12(11), 4823-4873. https://doi.org/10.5194/gmd-12-4823-2019.
Cites Arora, V. K., Seiler, C., Wang, L., & Kou-Giesbrecht, S. (2023) . Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations. Biogeosciences, 20(7), 1313-1355. https://doi.org/10.5194/bg-20-1313-2023.
Cites Melton, J. R., Arora, V. K., Wisernig-Cojoc, E., Seiler, C., Fortier, M., Chan, E., & Teckentrup, L. (2020) . CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) - Part 1: Model framework and site-level performance. Geoscientific Model Development, 13(6), 2825-2850. https://doi.org/10.5194/gmd-13-2825-2020.
Cites Christian, J. R., Denman, K. L., Hayashida, H., Holdsworth, A. M., Lee, W. G., Riche, O. G. J., Shao, A. E., Steiner, N., & Swart, N. C. (2022) . Ocean biogeochemistry in the Canadian Earth System Model version 5.0.3: CanESM5 and CanESM5-CanOE. Geoscientific Model Development, 15(11), 4393-4424. https://doi.org/10.5194/gmd-15-4393-2022.
Cites Cole, J. N. S., von Salzen, K., Li, J., Scinocca, J., Plummer, D., Arora, V., McFarlane, N., Lazare, M., MacKay, M., & Verseghy, D. (2023) . The Canadian Atmospheric Model version 5 (CanAM5.0.3). Geoscientific Model Development, 16(18), 5427-5448. https://doi.org/10.5194/gmd-16-5427-2023.
Cites Gillett, N. P., Simpson, I. R., Hegerl, G., Knutti, R., Mitchell, D., Ribes, A., Shiogama, H., Stone, D., Tebaldi, C., Wolski, P., Zhang, W., & Arora, V. K. (2025) . The Detection and Attribution Model Intercomparison Project (DAMIP v2.0) contribution to CMIP7. Geoscientific Model Development, 18(14), 4399-4416. https://doi.org/10.5194/gmd-18-4399-2025.