232164e8b1444978a41f2acf8bbbfe91 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 nonGeographicDataset nonGeographicDataset Centre for Environmental Data Analysis (CEDA) 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-10T02:21:06 UK GEMINI 2.3 WGS 84 Vol-Clim: UM-UKCA interactive stratospheric aerosol model summary data for perturbed parameter ensemble of volcanic eruptions 2020-09-25T09:49:17 publication 2020-09-25T09:49:17 creation https://catalogue.ceda.ac.uk/uuid/232164e8b1444978a41f2acf8bbbfe91 232164e8b1444978a41f2acf8bbbfe91 Centre for Environmental Data Analysis (CEDA) 10.5285/232164e8b1444978a41f2acf8bbbfe91 doi This dataset contains summary data (global monthly mean) of the volcanic stratospheric aerosol optical depth, effective radiative forcing, instantaneous radiative forcing and rapid adjustments from 82 model simulations of volcanic eruptions that have different sulfur dioxide emissions, eruption latitudes and emission altitudes. Two ensembles were conducted for eruptions starting in January and July. Each simulation was run for 38 months post eruption in a year 2000 timeslice condition. Unified Model- United Kingdom Chemistry and Aerosols Model simulations were conducted at a global resolution of 1.875° x 1.25°. One file is included for each eruption. Simulation IDs as specified by the Unified Model User Interface are included in each file name. Eruption details are included as global attributes. This data were collected as part of the NERC Reconciling Volcanic Forcing and Climate Records throughout the Last Millennium (Vol-Clim) project. Marshall, Lauren Unavailable author Unavailable author Smith, Christopher Unavailable author Unavailable author Centre for Environmental Data Analysis (CEDA) custodian 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk custodian Centre for Environmental Data Analysis (CEDA) distributor 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor Schmidt, Anja Unavailable principal_investigator Unavailable principalInvestigator Centre for Environmental Data Analysis (CEDA) point_of_contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk pointofContact Centre for Environmental Data Analysis (CEDA) publisher 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk publisher unknown nonGeographicDataset Vol-Clim model aerosol volcanic eruption atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English climatologyMeteorologyAtmosphere 1990-12-16T00:00:00 1994-08-16T23:59:59 Data are netCDF formatted Centre for Environmental Data Analysis (CEDA) Data Center Contact 01235446432 Rutherford Appleton Laboratory Harwell Oxon OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/232164e8b1444978a41f2acf8bbbfe91 CEDA Data Catalogue Page Detail and access information for the resource information nonGeographicDataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Data were generated using the UM-UKCA model. NetCDF's were made using iris-python. Rapid adjustments were calculated using a radiative kernel based on the HadGEM3-GA7.1 climate model and processed using python.