Unpublished CMIP7.ScenarioMIP.UKNCSP.UKESM1-3-LL.esm-scen7-h (v1)
General Information
| Name | CMIP7.ScenarioMIP.UKNCSP.UKESM1-3-LL.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: UKNCSP is a strategic partnership between the Met Office and six NERC-funded research centres in the UK. This partnership consists of the British Antarctic Survey (BAS), British Geological Survey (BGS), Met Office, National Centre for Atmospheric Science (NCAS), National Centre for Earth Observation (NCEO), National Oceanography Centre (NOC) and UK Centre for Ecology & Hydrology (UKCEH), with a mission to unite and harness UK climate science capability, advance international partnerships, and drive solutions for a resilient, net-zero world. (Using Model/Source: UKESM1-3-LL with Experiment esm-scen7-h) UKESM 1.3 includes dynamically evolving MetUM GA7/GA7.1 atmosphere with the embedded UKCA trace gas chemistry, GLOMAP-mode aerosol schemes, and JULES 5.1 land surface. These are coupled to the NEMO3.6 ocean with embedded CICE sea-ice and MEDUSA ocean biogeochemistry models. Land ice is represented through BISICLES to enable interactive ice sheets for both the Antarctic and Greenland. Along with a CH4 emission driven capability these are the 2 primary updates in UKESM 1.3 compared to 1.1. 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), 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-h |
| Institution | UKNCSP |
| Project | CMIP7 |
| Source | UKESM1-3-LL |
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=UKESM1-3-LL",
"cmip7:institution_id=UKNCSP",
])
Funding Streams
| Stream Name | Affiliation |
|---|