This data contains the model output of three numerical inversions of Pine Island Glacier ice surface velocities performed with the Community Ice Sheet Model (CISM2.0). The first and second simulations are inversions of the 1996 and 2014 velocity, respectively. The third simulation is a sensitivity experiment on the 2014 inversion. The gridded data consists of the ice surface velocity, basal velocity, basal stress, basal melt rates, and basal water fluxes, calculated for Pine Island Glacier catchment area. This data was created within the iSTAR-C programme (with NERC grant reference NE/J005800/1).

The flow-line model was designed to enable estimation of the age and surface origin for various ice bodies identified within hot-water drilled boreholes on Larsen C Ice Shelf. Surface fluxes are accumulated, converted to thicknesses, and advected down flow from a fixed number of selected points. The model requires input datasets of surface mass balance, surface velocity, vertical strain rates, ice-shelf thickness, and a vertical density profile. This model is part of a larger project. Input datasets such as density profiles and trajectory vectors are available separately. Resolution is dependent on the input datasets. Funding was provided by the NERC grant NE/L005409/1.

Velocity and along-flow stress states were modelled for Larsen C ice shelf, before and after the calving of iceberg A68 in July 2017. The archive contains two sets of model outputs: i) flow velocity before and after calving, and the difference between these periods, and ii) along-flow stress before and calving, and the difference between these periods. The models are produced with the BISICLES ice sheet model. Additionally to high-resolution geo-referenced model outputs, a low-resolution image of each is provided for reference. The maps were produced by Dr Stephen Cornford, Swansea University. The data is part of the NERC RACE project, NE/R012334/1.

Velocity maps were derived, for regions of Larsen C ice shelf, from satellite imagery spanning the period November 2017 to April 2019. This period was selected to monitor any change in the velocity field of Larsen C, in the months following the calving of iceberg A68 from the front of the ice shelf. The archive contains two sets of maps. The first are derived from Sentinel-1 satellite data, and span the complete ice shelf for the full 18-month epoch. The second are derived from TerraSAR-X data, and show high-resolution velocity trends between 2017 and 2018, covering the frontal region of Larsen C ice shelf. The maps were produced by Professor Adrian Luckman, Swansea University. The data is part of the NERC RACE project, NE/R012334/1.

This dataset consists of a bed DEM and four velocity maps of Kongsvegen, a surge-type glacier in Svalbard. The bed DEM was generated from ground-penetrating radar surveys in spring 2016 and 2018, and the velocity maps span the period Dec 2017 to Feb 2019. The velocity maps show the initial speed-up of the glacier as it transitions from quiescence to surge. Data acquisition was funded by NERC Urgency Grant NE/R018243/1 REBUS (Resolving Enthalpy Budget to Understand Surges).

The datasets are output from a flow-line model designed to estimate the age and surface origin for various ice bodies identified within hot-water drilled boreholes on Larsen C Ice Shelf (Hubbard et al., 2016, Ashmore et al., 2017). Two trajectories, based on remotely sensed velocities, allow surface fluxes from a regional climate model to be accumulated and advected down flow from selected points on the shelf. Vertical strain rates are taken into account, and surface mass balance is converted to thickness according to density profiles based on borehole data (Ashmore et al., 2017). The model output has a 250m horizontal resolution. These data are part of a larger project. The flow-line model code, the SMB datasets, and the borehole density profiles are also available. Funding was provided by the NERC grant NE/L005409/1.

Input and results files for the ice dynamics model Ua simulating potential past and future ice geometry of Cook Glacier, East Antarctica. Results seek to explain potential causes of recent observed acceleration and speculate on future causes of acceleration. This work was funded by NERC grant NE/R000719/1.