Understanding Greenland’s changing ice
GIANT is a pioneering science project that will test the potential for early warning of a critical climate tipping point.
Hank, K., Arthern, R., & Williams, C. (2025). Acoustic impedance misfits and basal sliding law probabilities for Pine Island Glacier (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/c560ce43-7aa0-4474-90ed-d4ee5f5768ea
Williams, C., Arthern, R., & Byrne, J. (2024). Forward simulations of the Amundsen Sea Sector of West Antarctica at different resolutions produced from the ice sheet model WAVI (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/4de39bc0-fc2b-4232-ac39-3cc1fd723f64
Bett, D., Bradley, A., Williams, R., Holland, P., Arthern, R., & Goldberg, D. (2024). Amundsen Sea sector MITgcm/WAVI coupled model output forced with idealised ocean boundary conditions over 180 years (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/baa5097e-5139-4d8b-8986-3cc84c3319b7
Arthern, R., Williams, R., Hindmarsh, R., & Pritchard, H. (2022). Fields and parameters related to the flow of ice in the Antarctic Ice Sheet recovered using inverse methods and satellite data (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/5f0ac285-cca3-4a0e-bcbc-d921734395ab
Arthern, R. (2007). Antarctic snow accumulation map and data (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/00270
GIANT is a pioneering science project that will test the potential for early warning of a critical climate tipping point.
RIFT-TIP is investigating iceberg calving on the Brunt Ice Shelf. It uses field monitoring, lab testing, and modelling to predict when icebergs will form.
OCEAN:ICE studies how Antarctic ice and Southern Ocean processes drive sea-level rise and influence global climate, using new data and advanced ice–ocean–climate models.
SURFEIT unites UK and international scientists to study Antarctic ice and atmosphere interactions, improve sea-level projections, and support climate action.
This project is developing digital twins of Antarctic and Arctic environments and resources. A digital twin makes it possible to test “what if” questions far more quickly than traditional computer models.
MELT is an ice-based project that will use autonomous sensors to monitor the ice column and ocean beneath the ice shelf in the critical area of the grounding line (the point where the glacier goes afloat to become ice shelf).
GHOST is an ice-based project which will examine the bed beneath the Thwaites Glacier, to assess whether conditions are likely to allow rapid retreat, or if the retreat may slow or stop due to a ridge 70 km inland.
By exploiting advances in ice sheet modelling, and new Antarctic-wide datasets, this project aims to predict how far and how fast the observed ocean-driven thinning of floating ice shelves will propagate into the interior of the Antarctic ice sheet, and assess the consequences for global sea level over decadal-to-centennial timescales.
The ice sheet modelling group integrates observational data with dynamical models to improve our representation of how the ice flows beneath the surface, and to reveal how the shape and flow of the Antarctic ice sheet has changed in the past.
iStar-D will identify the potential contribution to sea-level rise, from ice locked in the Amundsen Sea sector of Antarctica
A UK team of researchers has produced high-resolution maps of the bed beneath a major glacier in West Antarctica, which will help them predict future sea-level rise from this region. […]