This dataset consists of the time series of mass change of the Greenland Ice Sheet and its contribution to global sea level between 1980 and 2018 derived from satellite measurements. The dataset presented here is a reconciled estimate of mass balance estimates from three independent satellite-based techniques - gravimetry, altimetry and input-output method - and its associated uncertainty. This dataset is part of the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE). The total mass change as well as the partition between surface and dynamics mass balance are provided in this dataset. This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001). ***** PLEASE BE ADVISED TO USE UPDATED DATA ***** The expanded data set (see ''Related Data Set Metadata'' link below) has an additional 24 months of measurements, and also includes data for Antarctica.

Ground-penetrating radar (GPR) was used to test glacier ice thickness/glacier bed detectability on debris-covered Himalayan glaciers at a range of frequencies in glacier long- and cross- profiles and at static points. The survey sites were of the Lirung and Langtang Glaciers in the Langtang National Park, Nepal, where debris cover thickness varied from centimetres to several metres. The radar used was the BAS DELORES dipole pulse radar system, operating at 5MHz, 10MHz, 20MHZ and 40MHz. Data were acquired as a stop-go survey at 2-4m intervals on partially snow-covered and entirely debris-covered glacier surfaces in temperatures close to freezing, with a diurnal freeze-thaw cycle. Funding was provided by the NERC grant NE/L013258/1.

This is an electric log of a borehole drilled by hot water to 120 m (Site 1) on Larsen C Ice Shelf, Antarctic Peninsula. The borehole was drilled in December 2022 to investigate the internal properties of a suture zone (Site 1) and a meteoric ice band (Site 2) of an ice shelf, as part of the NERC-funded RiPIce (Rift Propagation for Ice sheet models) research project. NERC standard grant NE/T008016/1.

The datasets are temperature time series from fibre-optic strings installed into two boreholes on Larsen C Ice Shelf, Antarctic Peninsula. Boreholes were drilled in December 2022 to 160 m to investigate the internal properties of a suture zone (Site 1) and a meteoric ice band (Site 2) of an ice shelf, as part of the NERC-funded RiPIce (Rift Propagation for Ice sheet models) research project. NERC standard grant NE/T008016/1.

This is a sonic log of a borehole drilled by hot water to 120 m (Site 1) on Larsen C Ice Shelf, Antarctic Peninsula. The borehole was drilled in December 2022 to investigate the internal properties of a suture zone (Site 1) and a meteoric ice band (Site 2) of an ice shelf, as part of the NERC-funded RiPIce (Rift Propagation for Ice sheet models) research project. NERC standard grant NE/T008016/1.

These are digital optical televiewer logs of two boreholes drilled by hot water to 120 m (Site 1) and 160 m (Site 2) on Larsen C Ice Shelf, Antarctic Peninsula. Boreholes were drilled in December 2022 to investigate the internal properties of a suture zone (Site 1) and a meteoric ice band (Site 2) of an ice shelf, as part of the NERC-funded RiPIce (Rift Propagation for Ice sheet models) research project. NERC standard grant NE/T008016/1.

During the 2014/2015 season six temporary GNSS stations were deployed on rocky outcrops west of the former Larsen B ice shelf by the University of Leeds and BAS, in the region of the Flask and Leppard Glaciers. This was carried out as part of the NERC funded UKANET project. This is an area we have targeted with a space-based technique called radar interferometry (InSAR), which can provide dense measurements of uplift rates, and the temporary GNSS network were deployed to better understand the contribution of atmospheric noise to the InSAR results. Four were taken out in the same season, while the other two were pulled in the 2015/2016 season. Funding was provided by NERC grant NE/L006065/1.

The Antarctic mass trends have been collated from a combination of different remote sensing datasets. These are trends of yearly elevation changes over Antarctica for the period 2003-2013 due to the different geophysical processes driving changes in Antarctica: ice dynamics, surface mass balance and glacio-isostatic adjustment (GIA). Net trends can be easily calculated by adding together surface and ice dynamics trends. 20 km gridded datasets have been produced for each process, per year (except the GIA solution which is time-invariant). To convert elevation to mass trends, we also provide the density fields for surface (SMB) and GIA processes used in Martin-Espanol et al (2016). These can be directly multiplied by the dh/dt. To convert dh/dt from ice dynamics, simply multiply by the density of ice. Mass smb = dh/dt smb * d surf Mass ice = dh/dt ice * d ice (not provided) Mass gia = dh/dt gia * d rock NERC grant: NE/I027401/1

A dataset of ice-margin change (advance/recession) at the south-western sector of the Greenland Ice Sheet, comprising data from 3325 terrestrial, 439 lacustrine and 35 marine ice-margins respectively. The dataset also comprises measures of ice-marginal lake parameters including area and intersect (length of the lake - ice-margin interface). Measurements were made at approximately five year intervals (epochs) from 1987 to 2015. The ice sheet margin and adjacent ice-marginal lakes were delineated by applying the Normalised Difference Snow Index (NDSI) and the Normalised Difference Water Index (NDWI) respectively to Landsat TM, ETM+ and OLI scenes. Ice-margin changes were measured relative to a series of fixed reference points. The dataset was generated to facilitate comparison of changes at the disparate ice-marginal environments of the ice sheet and investigate temporal patterns of ice-margin recession. The dataset was created and processed by researchers in the School of Geography at the University of Leeds and the Institute of Integrative Biology at the University of Liverpool.

This dataset contains rates of mass change and cumulative mass change and their associated uncertainty for the Antarctic Ice Sheet (in its entirety and split into West Antarctica, East Antarctica and the Antarctic Peninsula), the Greenland Ice Sheet, and their sum between 1992 and 2020. The data are reconciled estimates of mass balance from three independent satellite-based techniques: altimetry, gravimetry and input-output method. This dataset is part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE). This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).