Three datasets of melt season duration in days covering the Antarctic Peninsula for the austral yeas of 2017/2018, 2018/2019 and 2019/2020. The datasets are based on ASCAT GDS Level 1 Sigma0 Swath Grid data from the EUMETSAT archive (archive.eumetsat.int/usc/) and extend an earlier time series based on enhanced QuikSCAT and ASCAT data (doi:10.5285/e3616d28-759e-4cca-8fae-fe398f9552ba). The data are supplied as GeoTIFFs. Funding was provided from the NERC grant NE/L005409/1.

Surface melt onset, duration and end date for the Antarctic Peninsula from 1999/2000 to 2016/2017 at a spatial resolution of 2 km, derived from scatterometer data. Years 1999/2000 to 2008/09 are based on QSCAT data and 2009/10 to 2016/17 on ASCAT data. This work was funded by NERC grant NE/L006065/1.

The data consists of observed terminus position and modelled ocean temperature, air temperature and runoff for 10 tidewater glaciers in east Greenland, 1990-2015. The glaciers are (listed from south to north) Mogens 3, Tingmjarmiut 1, AP Bernstorffs Glacier, Helheim Glacier, Kangerdlugssuaq Glacier, Borggraven, Vestfjord Glacier, Daugaard-Jensen Glacier, Waltershausen Glacier, Heinkel Glacier. Values are given as annual means. Glacier terminus positions are derived directly from remote sensing observations. Ocean temperature is based on the mean 200-400m temperature from GLORYS2V3 1/4 deg ocean reanalysis, obtained from the nearest cell of sufficient depth and adjusted to better agree with available in situ observations. Air temperature is based on the May-September mean of monthly temperatures from European Reanalysis (ERA)-Interim global atmospheric reanalysis, while Q is obtained from a 1-km surface melting, retention, and runoff model forced using ERA-Interim reanalysis. These data were compiled to study the relationship between environmental forcings and tidewater glacier retreat in east Greenland, as published by Cowton et al (2018). Funding was provided by the NERC grants NE/K015249/1 and NE/K014609/1.

These are digital optical televiewer (OPTV) logs of five boreholes drilled by hot water to ~100 m depth in Larsen C Ice Shelf, Antarctica. Boreholes were drilled in austral summers of 2014 and 2015 in order to investigate the internal properties of the ice shelf, and specifically the influence of surface melting and melt pond formation on those properties. These data are part of the NERC-funded MIDAS (''Impact of surface melt and ponding on ice shelf dynamics and stability'') research project, with grant references NE/L006707/1 and NE/L005409/1. Borehole density and temperature profiles are also available, as are other MIDAS datasets.

The dataset comprises ApRES (Autonomous phase-sensitive Radio Echo Sounder) time series from four sites (G1-4) through the grounding zone of the eastern Thwaites ice shelf. The instruments were deployed in early 2020 and recovered in early 2021 as part of the International Thwaites Glacier Collaboration (ITGC) MELT project. The aim was to provide time series of basal melt rates and the vertical strain rate at each site. The ApRES DAT files were converted to netCDF for publication. Each burst in an ApRES file maps straightforwardly to a group in the corresponding netCDF file. This is a lossless, reversible process. The data were acquired under funding from ITGC: NE/S006656/1.

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).