Unpublished CMIP7.CMIP.CCCma.CanESM5-1.1pctCO2 (v1)
General Information
| Name | CMIP7.CMIP.CCCma.CanESM5-1.1pctCO2 |
|---|---|
| Abstract | Project: CMIP7 CMIP core common experiments i.e. the DECK (Diagnostic, Evaluation and Characterization of Klima). Produced by: Environment and Climate Change Canada (Using Model/Source: CanESM5-1 with Experiment 1pctCO2) CanESM5-1 is a fully coupled atmosphere-ocean-land ESM, which is scientifically very similar to CanESM5, and includes major technical upgrades within the model components, as well as addressing some key scientific issues, like stratospheric dust spikes. Experiment: 1% per year increase in atmospheric carbon dioxide levels. All other conditions are kept the same as piControl. CMIP7 is a project of the World Climate Research Programme (WCRP), coordinated by the Working Group on Coupled Modelling (WGCM).Phase 7 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. This record was created via the CEDA Citation Service, maintained and hosted on the CEDA JASMIN Infrastructure. |
| Rights | Creative Commons Attribution 4.0 International License (CC-BY-4.0) |
| License | CMIP7 is a project of the World Climate Research Programme (WCRP), coordinated by the Working Group on Coupled Modelling (WGCM). Phase 7 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. Published under CC-BY-4.0. |
CMIP7 Facets
| Activity | CMIP |
|---|---|
| Experiment | 1pctCO2 |
| Institution | CCCma |
| Project | CMIP7 |
| Source | CanESM5-1 |
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=1pctCO2",
"cmip7:activity_id=CMIP",
"cmip7:source_id=CanESM5-1",
"cmip7:institution_id=CCCma",
])
Funding Streams
| Stream Name | Affiliation |
|---|