Published CMIP7.ScenarioMIP.UKNCSP.UKCM2a-0-HH.scen7-vl (v1)

General Information


Name CMIP7.ScenarioMIP.UKNCSP.UKCM2a-0-HH.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: 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: UKCM2a-0-HH with Experiment scen7-vl)

UKCM2a-0-HH is a very-high resolution counterpart to UKCM2-0-LL using an N640 atmosphere grid (20 km in mid latitudes, 31 km at the equator) and a 1/12 degree (8 km) extended ORCA ocean grid. UKCM2a-HH and UKCM2-LL share the same underlying science configuration, but UKCM2a-HH uses the COMORPH A9 atmospheric convection scheme and has various other parameter and resolution-dependent differences. UKCM2a-0-HH includes a dynamically evolving MetUM GA9a dynamical atmosphere with the embedded GLOMAP-mode aerosol scheme coupled to the JULES GL9 land surface and the GOSI9 configuration of the NEMO ocean and the embedded SI3 sea-ice model. Land ice is represented through JULES. The ice surface is taken to be one of the surface tile types, and all surface tiles share the same soil information for temperature and moisture in JULES. The specification of land ice gridboxes is done through the tile fractions information. Atmospheric chemistry. UKCM2a-0-HH has a very simplified treatment of aerosol chemistry using prescribed trace gas oxidants. GHGs/CFCs are prescribed from CMIP7 forcings as annual mean global constant values. UKCM2a-0-HH does not include an ocean biogeochemistry model. Further details of UKCM2a-0-HH and its known limitations are available at https://ukncsp.github.io/CDDS-simulation-metadata/models/ukcm2a-0-hh/.

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 concentrations (for prescribed carbon dioxide emissions, see `esm-scen7-vl`).

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 UKNCSP 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.
Cite As Roberts, Malcolm; Lai, Michael; Scullion, Calum; Seddon, Jon; Short, Christopher; Mizielinski, Matthew; Boon, Lauren; Drayton, Jared; Gillett, Edward; Iwi, Alan; Evans, Rhys; Tucker, William; Westwood, Daniel; Pascoe, Charlotte; Stephens, Ag; Pepler, Sam. (2026). ESGF-NG CMIP7.ScenarioMIP.UKNCSP.UKCM2a-0-HH.scen7-vl. v1. Science and Technology Facilities Council. https://doi.org/10.82965/vr9d-5g08
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Published on 26/10/2026 at 14:16:27 (UK)

CMIP7 Facets


Activity ScenarioMIP
Experiment scen7-vl
Institution UKNCSP
Project CMIP7
Source UKCM2a-0-HH

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=scen7-vl",
      "cmip7:activity_id=ScenarioMIP",
      "cmip7:source_id=UKCM2a-0-HH",
      "cmip7:institution_id=UKNCSP",
])
                    

Responsible Parties


Name Role
Malcolm Roberts (malcolm.roberts@metoffice.gov.uk) Primary
Michael Lai (michael.lai@metoffice.gov.uk) Contact
Calum Scullion (calum.scullion@metoffice.gov.uk) Contact
Jon Seddon (jon.seddon@metoffice.gov.uk) Contact
Christopher Short (christopher.short@metoffice.gov.uk) Contact
Matthew Mizielinski (matthew.mizielinski@metoffice.gov.uk) Contact
Lauren Boon (lauren.boon@metoffice.gov.uk) Contact
Jared Drayton (jared.drayton@metoffice.gov.uk) Contact
Edward Gillett (edward.gillett@metoffice.gov.uk) Contact
Alan Iwi (alan.iwi@stfc.ac.uk) Contact
Rhys Evans (rhys.evans@stfc.ac.uk) Contact
William Tucker (william.tucker@stfc.ac.uk) Contact
Daniel Westwood (daniel.westwood@stfc.ac.uk) Contact
Charlotte Pascoe (charlotte.pascoe@stfc.ac.uk) Contact
Ag Stephens (ag.stephens@stfc.ac.uk) Contact
Sam Pepler (sam.pepler@stfc.ac.uk) Contact

Affiliated Institutions


Institution Country
UKNCSP United Kingdom
Cites Dunne, J. P., Hewitt, H. T., Arblaster, J. M., Bonou, F., Boucher, O., Cavazos, T., Dingley, B., Durack, P. J., Hassler, B., Juckes, M., Miyakawa, T., Mizielinski, M., Naik, V., Nicholls, Z., O'Rourke, E., Pincus, R., Sanderson, B. M., Simpson, I. R., & Taylor, K. E. (2025) . An evolving Coupled Model Intercomparison Project phase 7 (CMIP7) and Fast Track in support of future climate assessment. Geoscientific Model Development, 18(19), 6671-6700. https://doi.org/10.5194/gmd-18-6671-2025.
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.
Cites Roberts, M. J., Jung, T., Ortega, P., Ghosh, R., Wachsmann, F., von Storch, J.-S., Kroeger, J., Aengenheyster, M., & Roberts, C. (2024) . Phase 1 simulations, including HighResMIP and CMIP6- PI-control simulations. Zenodo. https://doi.org/10.5281/ZENODO.14288725 https://doi.org/10.5281/zenodo.14288725.