This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 



UKESM1-CH4 output for methane emissions-driven and methane LBC-driven future climate projections under SSP3-7.0 and SSP1-2.6 scenarios

Update Frequency: Not Planned
Latest Data Update: 2021-09-06
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-09-09
DOI Publication Date: 2022-01-20
Download Stats: last 12 months
Dataset Size: 59 Files | 12GB


This dataset contains model output for experiments using the UKESM1-CH4 emissions-driven configuration of the UK Earth System model, based on the science version (Sellar et al.,2011, DOI:10.1029/2019MS001739) coupled with the United Kingdom Chemistry and Aerosol scheme (Archibald et al., DOI:10.5194/gmd-13-1223-2020). The simulation follows the experimental design of CMIP6-sponsored ScenarioMIP (O'Neill et al., DOI:10.5194/gmd-9-3461-2016) SSP3-7.0 and SSP1-2.6 Shared Socioeconomic Pathways. These simulation span 2015-2050 and use a coupled atmosphere-ocean climate model. To assess climate model variability, three ensemble members are archived which differ only in the initial conditions for the experiment. The data comprise annual mean output over the experimental period for temperature, ozone, methane, hydroxyl radical, precipitation and provided diagnostic air mass and diagnostics suitable for the calculation of the methane lifetime and budget. We archive data from this methane emissions-driven configuration as NZAME/ensemble experiment as by186(ensemble 1), bz146(ensemble 2) and bz473(ensemble 3). To improve reproducibility the UKESM1 jobids are included as identifiers. For comparison, emissions-driven experiments are included as {Scenario}/JOBID: SSP1-2.6 (bo812), and three ensemble members for SSP3-7.0: bo797(ens 1), ca723(ens 2) and cb039(ens3).

Citable as:  Staniaszek, Z.; Folberth, G.; Griffiths, P.; O'Connor, F.; Archibald, A. (2022): UKESM1-CH4 output for methane emissions-driven and methane LBC-driven future climate projections under SSP3-7.0 and SSP1-2.6 scenarios. NERC EDS Centre for Environmental Data Analysis, 20 January 2022. doi:10.5285/d1c277836e754e279c9a964ad3d95828.
Abbreviation: Not defined
Keywords: UKESM1-CH4, methane, emissions


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were generated using the UK Earth System Model 1 (UKESM1-CH4) at N96 horizontal resolution over global domain.

Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are netCDF formatted

Related Documents

No documents related to this record were found.

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Staniaszek, Z., Griffiths, P. T., Folberth, G. A., O’Connor, F. M., Abraham, N. L., & Archibald, A. T. (2022). The role of future anthropogenic methane emissions in air quality and climate. Npj Climate and Atmospheric Science, 5(1).

Process overview

This dataset was generated by the computation detailed below.

UKESM1 deployed on MONSooN computer


UKESM1 deployed on MONSooN computer

Input Description


Output Description


Software Reference


  • units: level
  • long_name: Hybrid height
  • var_id: hybrid_ht
  • names: Hybrid height
  • units: kg kg-1
  • var_id: field2101
  • standard_name: atmosphere_hybrid_height_coordinate
  • var_id: atmosphere_hybrid_height_coordinate
  • names: atmosphere_hybrid_height_coordinate
  • var_id: bounds
  • var_id: bounds_1
  • var_id: bounds_2
  • var_id: bounds_3
  • var_id: bounds_4
  • units: hours
  • standard_name: forecast_period
  • var_id: forecast_period
  • names: forecast_period
  • var_id: forecast_period_bnds
  • standard_name: forecast_reference_time
  • var_id: forecast_reference_time
  • names: forecast_reference_time
  • units: m
  • var_id: a
  • long_name: height based hybrid coeffient a
  • names: height based hybrid coeffient a
  • units: 1
  • var_id: b
  • long_name: height based hybrid coeffient b
  • names: height based hybrid coeffient b
  • var_id: latitude_longitude
  • units: m
  • long_name: level_height
  • var_id: level_height
  • names: level_height
  • var_id: level_height_bnds
  • var_id: m01s50i041
  • var_id: m01s50i063
  • var_id: m01s50i306
  • units: kg kg-1
  • var_id: mass_fraction_of_hydroxyl_radical_in_air
  • standard_name: mass_fraction_of_hydroxyl_radical_in_air
  • names: mass_fraction_of_hydroxyl_radical_in_air
  • units: kg kg-1
  • standard_name: mass_fraction_of_methane_in_air
  • var_id: mass_fraction_of_methane_in_air
  • names: mass_fraction_of_methane_in_air
  • units: kg kg-1
  • standard_name: mass_fraction_of_ozone_in_air
  • var_id: mass_fraction_of_ozone_in_air
  • names: mass_fraction_of_ozone_in_air
  • units: 1
  • standard_name: model_level_number
  • var_id: model_level_number
  • names: model_level_number
  • units: kg m-2 s-1
  • standard_name: precipitation_flux
  • var_id: precipitation_flux
  • names: precipitation_flux
  • units: 1
  • var_id: sigma
  • long_name: sigma
  • names: sigma
  • var_id: sigma_bnds
  • units: K
  • standard_name: surface_temperature
  • var_id: surface_temperature
  • names: surface_temperature
  • var_id: time_bnds
  • var_id: time_bounds
  • units: 1
  • long_name: year
  • var_id: year
  • names: year

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • names: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
  • names: longitude
  • standard_name: time
  • var_id: t
  • long_name: t
  • names: time, t
  • standard_name: time
  • var_id: time
  • names: time
Temporal Range
Start time:
End time:
Geographic Extent