Global model data has been generated for COVID-19 (Coronavirus Disease 2019) simulations. The model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only nudged configuration, with Met Office Unified Model version 11.5. The data is on a global N96 grid (192 x 144 points), and covers the years 2012, 2013, and 2014. These data were used to study the effect of COVID-19 lockdowns (simulated scenarios) on atmospheric composition and radiative forcing. The dataset includes data used in the paper submitted to Geophysical Research Letters (GRL) August 2020 with title 'Minimal climate impacts from short-lived climate forcers following emission reductions related to the COVID-19 pandemic'. See Details/Docs tab for a link to this. For this purpose, there are four experimental integrations (a1, a2, a3, a4), and a control (con) for each year. The files are labelled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included docs/file variable_codes.txt. The data are in NetCDF format, and were generated from the following suites: u-bt034, u-bt090, u-bt091, u-bt092, u-bt637, u-bt341, u-bt342, u-bt343, u-bt344, u-bt926, u-bt375, u-bt376, u-bt377, u-bt378, u-bt927. This is a NERC funded project.

This dataset contains simulations produced by the ice sheet model WAVI (Wavelet-based Adaptive-grid Vertically-integrated Ice-model), presented as netCDF files. The model domain is the Amundsen Sea Sector of the West Antarctic Ice sheet, including Pine Island Glacier, Thwaites Glacier and the ice streams that flow into the Crossen and Dotson Ice Shelves. The simulations start from initialised states representing approximately the year 2015 and are run for 150 years into the future. The WAVI model is a publicly available open source model written in Julia (Bradley et al., 2024). The initialised states are computed in the Matlab version of WAVI, following methods in Arthern et al. (2015) and Arthern and Williams (2017). These simulations were produced by the authors to study the effects of spatial model resolution and basal melt rates on projections of sea level contribution from this region. Funding was provided by NERC Feasibility Study Grant (Ref: 2021DTUC3Hosking) and ITGC THHWAITES-MELT (NE/S006656/1).