Unpublished CMIP7.ScenarioMIP.EC-Earth-Consortium.EC-Earth3-ESM-1-1.esm-scen7-vl (v1)
General Information
| Name | CMIP7.ScenarioMIP.EC-Earth-Consortium.EC-Earth3-ESM-1-1.esm-scen7-vl |
|---|---|
| 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: EC-Earth-Consortium (Using Model/Source: EC-Earth3-ESM-1-1 with Experiment esm-scen7-vl) The Earth System Model EC-Earth3-ESM is a post-CMIP6 development of the EC-Earth3 model. It comprises a coupled atmosphere-ocean model (including sea ice), dynamic vegetation, an ice sheet model for Greenland and an Antarctic Ice Meltwater emulator. The model can be run in concentration driven mode or with CO2 emissions, featuring a carbon cycle. 1. The dynamic components are: Atmosphere (IFS) including the soil component (HTESSEL), Ocean (with embedded Sea Ice (LIM3) & Ocean Biogeochemistry (PISCES) components) , Land Surface & Subsurface Dynamic Vegetation (LPJ-GUESS), Land Ice for Greenland (PISM). Further, a simple yet fast atmosphere CO2 box model (one global grid point) for closing the carbon cycle is used. 2. The Atmospheric Chemistry and Aerosols are prescribed. 3. The Antarctic Ice sheet is not modeled itself, instead an emulator for simulating the Antarctic meltwater flux (on the ocean grid) is in place. Experiment: CMIP7 ScenarioMIP Very Low emission scenario - The Very Low emission scenario is designed to keep the temperature level as low as plausible given feasibility constraints. This scenario is thus relevant for the low end of the Paris range (staying as close as plausible to 1.5C at the time of peak warming and limiting warming to 1.5C by the end of the century). Run with prescribed carbon dioxide emissions (for prescribed carbon dioxide concentrations, see `scen7-vl`). 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 | ScenarioMIP |
|---|---|
| Experiment | esm-scen7-vl |
| Institution | EC-Earth-Consortium |
| Project | CMIP7 |
| Source | EC-Earth3-ESM-1-1 |
Data Access
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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-vl",
"cmip7:activity_id=ScenarioMIP",
"cmip7:source_id=EC-Earth3-ESM-1-1",
"cmip7:institution_id=EC-Earth-Consortium",
])
Funding Streams
| Stream Name | Affiliation |
|---|