Unpublished CMIP7.ScenarioMIP.CCCma.CanESM6-0-MR.esm-scen7-h (v1)
General Information
| Name | CMIP7.ScenarioMIP.CCCma.CanESM6-0-MR.esm-scen7-h |
|---|---|
| Abstract | Project: CMIP7 Future scenario experiments. Exploration of the future climate under a (selected) range of possible boundary conditions. In CMIP7, the priority tier for experiments is conditional on whether you are doing emissions- or concentration-driven simulations. There is no way to express this in the CVs (nor time to implement something to handle this conditionality). This means that, for your particular situation, some experiments may be at a lower tier than is listed in the CVs. For example, the `vl` scenario is tier 1 for concentration-driven models and tier 2 for emissions-driven models. However, in the CVs, we have used the highest priority tier (across all the possible conditionalities). Hence `vl` is listed as tier 1 in the CVs (even though it is actually tier 2 for emissions-driven models).For details, please see the full description in the ScenarioMIP description papers. Produced by: Environment and Climate Change Canada (Using Model/Source: CanESM6-0-MR with Experiment esm-scen7-h) 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: CMIP7 ScenarioMIP High emission scenario - A scenario with emissions as high as judged to be plausible, based on assuming developments that include a rollback of current mitigation policies. This scenario is expected to result in forcings below SSP5-8.5. Run with prescribed carbon dioxide emissions (for prescribed carbon dioxide concentrations, see `scen7-h`). 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. This record was created via the Citation Service, maintained and hosted on the CEDA JASMIN Infrastructure. |
| 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 | ScenarioMIP |
|---|---|
| Experiment | esm-scen7-h |
| 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=esm-scen7-h",
"cmip7:activity_id=ScenarioMIP",
"cmip7:source_id=CanESM6-0-MR",
"cmip7:institution_id=CCCma",
])
Funding Streams
| Stream Name | Affiliation |
|---|
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
van Vuuren, D., O'Neill, B., Tebaldi, C., Chini, L., Friedlingstein, P., Hasegawa, T., Riahi, K., Sanderson, B., Govindasamy, B., Bauer, N., Eyring, V., Fall, C., Frieler, K., Gidden, M., Gohar, L., Jones, A., King, A., Knutti, R., Kriegler, E., et al. (2025) . The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7). https://doi.org/10.5194/egusphere-2024-3765.