This dataset contains global removal methane simulation measurements from the UK Earth system models (UKESM1) model using UK Chemistry and Aerosol (UKCA) coupled with Joint UK Land Environment Simulator (JULES) and Model of Ecosystem Dynamics, nutrient Utilisation, Sequestrationand Acidification (MEDUSA). Using UKESM1, a series of simulations of methane removal were run until 2100. The measurements include globally averaged data for methane emissions, surface temperature, and surface ozone at a monthly time period. This was completed using the new emissions-driven configuration of UKESM1. Model resolution is N96L85-ORCA1 with 85 vertical levels. Wetland methane emissions are interactively coupled to UKCA. (More details available in Sellar et al 2019 and Folberth et al 2021). The different columns are different simulations. These can be broken down into two broad categories: those based on SSP1-2.6 and those based on SSP3-7.0. For each SSP, we created a set of methane removal simulations with the modified prescribed methane emissions shown in the corresponding columns. These were for the base SSP, a series of different removal amounts (0.25, 0.5, 0.75, 1, 1.5, and 2.0 x the removal in SSP3-7.0LowCH4) and a series of different timings for the start of removal (2020, 2030, 2040, 2050). For each simulations, global means surface temperature and ozone are gathered in this data. Location extent is full global average.

Data produced in support of the NERC project Poles Apart (2014 - 2017) that investigated the atmospheric drivers of changes in surface wind forcing using the UK Chemistry and Aerosols (UKCA) model. Ten HadGEM3 model simulations were undertaken. Monthly model data was taken from the final 30 years of each simulation and a number of variables of interest, e.g. temperature and precipitation were extracted and analysed. The temporal range for the perturbed simulations is 1980-2013, and the control simulations are valid between 1841-1900. See the detailed experiment documentation for the Unified Model experiment ids and their corresponding description (these have been used to organise the data).

Datasets collected as part of the NERC project Poles Apart Why has Antarctic sea ice increased and why don't coupled climate models reproduce observations? (NE/K012150/1, NE/K011561/1). The aim of this project was to model atmospheric drivers of changes in surface wind forcing. The project began in June 2014 and completed at the end of June 2017.

This dataset contains data from the UK Chemistry and Aerosol model (UKCA) vn10.9 Atmospheric Model Inter-comparison Project (AMIP6) type simulations. 8 new heterogeneous reactions were added to the model involving chlorine and bromine species with the explicit treatment of the reactions of the following additional chemical species: Cl2, Br2, ClNO2 and BrNO2. The model explicitly specify the emissions of five very short-lived bromocarbon species (CH3Br, CH2BrCl, CH2Br2, CHBr2Cl, CHBrCl2) and are provided as model input files. These changes are described in more detail in a companion paper (Ming et al., 2020, JGR Atmospheres). The model runs were used to investigate tropical volcanic eruptions in a pre-industrial climate and their effect on stratospheric ozone. The dataset covers the whole globe at a resolution of N96. The output files include a 60 year control run and the model experiments that support the publication. Each model experiment is made up of 4 ensemble members. The contents of the individual data files are further described in the document README.md. The parameters included in the model output files are total column ozone, HCl mixing ratio and mean residual vertical velocity. Isotopic constraints on past ozone layer in polar ice (ISOL-ICE) was a NERC funded project to use ice-core data and numerical models to investigate the past variability in the ozone layer.

Data from the New Zealand National Institute of Water and Atmospheric Research - United Kingdom Chemistry and Aerosol (NIWA-UKCA) model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1). CCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). The dataset includes data for the following CCMI-1 experiments: Reference experiments: ref-C1 and ref-C2. Sensitivity experiments: senC1fEmis, senC2fCH4, senC2fGHG, senC2fN2O and senC2fODS. ref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010). ref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions. senC1fEmis: Surface emissions such as nitrogen oxides (NOx ), carbon monoxide (CO), non-methane volatile organic compounds (NMVOCs), and aerosol precursors are prescribed at 1960 levels throughout, allowing the influence of meteorological variability on tropospheric composition to be established. senC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed). senC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value. senC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value. senC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.