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  • Seventy-nine Antarctic ice core snow accumulation records were gathered as part of a community led project coordinated by the PAGES Antarctica 2k working group. Individual ice core records (kg m2 yr-1) were normalised relative to a reference period (1960-1990). The normalised records were separated into seven geographical regions and averaged together to form the regional composites. The seven geographical regions are: East Antarctica; Wilkes Land Coast; Weddell Sea Coast; Antarctic Peninsula; West Antarctic Ice Sheet; Victoria Land; and Dronning Maud Land. Full data description and methods can be found in Thomas et al., 2017. This record also includes the original data, from which the composite records were produced. This dataset represents an updated version of another published dataset. The update was necessary due to erroneous data contained in the files. Please use this corrected dataset in preference to the other one.

  • This dataset contains data for the plots in Figures 3 and 4 in the article: Effective rheology across the fragmentation transition for sea ice and ice shelves, Åström, and D.I. Benn, GRL, 2019. The data is produced with the numerical simulation code HiDEM, which is an open source code that can be found at: The data plots in the paper contain the data used as benchmarks for testing the reliability of the simulations (Fig.3), and the main results (Fig. 4), the effective rheology of sea ice across the fragmentation transition. Funding was provided by the NERC grant NE/P011365/1 Calving Laws for Ice Sheet Models CALISMO.

  • High-resolution simulation of summer climate over West Antarctica using the Polar-optimised version of the Weather Research and Forecasting (WRF) model conducted at British Antarctic Survey, Cambridge, UK. Runs are conducted for summer (January-centred) 1980-2015, i.e. from December 1979 to February 2015, for December, January and February (DJF). Experiments were carried out for the NERC West Antarctic Grant (NE/K00445X/1) during 2014-2017. The project is aimed at understanding the variability and climatology over the West Antarctic ice sheet and ice shelves as well as to project the future change over the twenty-first century. The model outer domain encompasses the West Antarctic ice sheet and a large part of the surrounding ocean at 45 km horizontal grid spacing, and the nested (one-way) inner domain covers the Amundsen Sea Embayment at 15 km grid spacing. The model uses vertical eta coordinates with both domains have a model top of 50 hPa, and 30 vertical levels.

  • This dataset documents the trends and variability in the latitude and strength of the belt of lower-atmosphere westerly winds over the Southern Ocean, referred to as the ''westerly jet''. Time series of annual mean and seasonal diagnostics are available for the period 1979-present, specifically time series of seasonal and annual mean jet latitude and strength. The diagnostics are derived from the European Centre for Medium Range Weather Forecasts (ECMWF) ERA-Interim reanalysis (for more information see and Dee et al. (2011)), which is an observationally-constrained reconstruction of atmospheric conditions. The broad characterisation of the westerly winds into these simple diagnostics has been found to be useful for understanding long-term climate change due to contrasting drivers of change and impacts on other aspects of the climate system. This is an index of winds around the full circumference of all longitudes at Southern Hemisphere middle latitudes. The exact latitude depends on the position of the jet at any given time, but on average the jet (the core of the westerlies) is located at approximately 52 deg S.

  • This dataset contains a subset of the ice core data for the ISOL-ICE core recovered from Dronning Maud Land, Antarctica in January 2017 ( The subset reported here contains ice core data from the 1455 - 1227 AD period (60.80 - 79.45 m depth) and covers the volcanic eruption of Samalas, Indonesia in 1259. The ice core was dated by annual layer counting and identifying volcanic horizons as fixed time markers. Here we report i) the age-depth model over the 1455 - 1227 AD period, ii) high-resolution nitrate stable isotopic composition of discrete ice core samples, and iii) nitrate, sodium and magnesium mass concentrations and electrolytic meltwater conductivity from continuous flow analysis (CFA). Funding was provided by the NERC grant NE/N011813/1.

  • The data are from a proof-of-concept study to assess the feasibility of accurately measuring ozone (O3) and hydroxyl (OH) profiles from the ground using accessible satellite TV receiver technology. The datasets include a synthesis of atmospheric model and a priori atmospheric datasets for selected polar locations, atmospheric transmittance spectra calculated for those locations, and O3 and OH profile retrieval results.

  • Comprehensive measurements were taken on the Larsen C Ice Shelf and used to compute the Surface Energy Budget (SEB). Data were collected from two automatic weather stations (AWS) put in place in January 2009. Parallel to the AWS measurements, high-quality spectral and broadband radiation measurements were carried out, as well as direct measurements of turbulent fluxes. A special part of the field experiment focused on the direct measurement of liquid water content in the snowpack, using time-domain reflectometry (TDR).

  • Weather Research and Forecasting (WRF) model output for Larsen Ice Shelf run at 4km resolution. Modelling was carried out to support the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project during the 2010-2011 field season.

  • Daily outputs on a 7.5 km horizontal resolution grid covering the Greenland Ice Sheet from MARv3.6.2, which is a regional climate model developed for the Polar regions that solves the regional climate and ice sheet surface mass balance. MAR was forced by ERA-Interim re-analysis data.

  • UK Met Office UM (Unified Model) output for Larsen Ice Shelf, run at 1.5km resolution. Modelling was carried out to support the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project during the 2010-2011 field season.