Improving how we measure Antarctic sea ice
QUASAR uses AI to improve Antarctic sea ice measurements from satellites, making climate data more reliable for scientists tracking changes in polar regions.
Dr Jeremy Wilkinson is an expert on sea ice dynamics, thermodynamics and mechanics, ocean wave propagation through sea ice, and deep-convection and water mass modification.
He represents the UK on the Arctic Ocean Science Board (AOSB) / International Arctic Science Committee’s (ISAC) Marine Science Working Group and is a member of the Programme Advisory Board for Arctic Science for the UK funding agency NERC. In addition he is regarded as one of the world experts on the use of AUVs in the polar oceans (under ice experience with Maridan, Autosub, Gavia, Sea-Bed AUVs).
His expertise also extends through a broad range of techniques, from the remote sensing and in-situ monitoring of sea ice, through to its visualisation through the use of upward-looking sonars, and the modelling of sea ice and the flow of oil spilled under sea ice.
Dr Wilkinson’s scientific fieldwork, both in the Arctic and Antarctic, has been performed from many different platforms, including autonomous underwater vehicles, ice-breakers, helicopters, aeroplanes and ice camps. In addition his experience extends to the planning, organisation and participation of polar field campaigns (> 20 campaigns) and logistics and plays a crucial role in guiding the technological development of autonomous instrumentation, including automatic weather stations, drifting buoys, tilt-meters and sea ice mass balance buoys.
Jeremy has substantial experience in large multidisciplinary programmes e.g. ESOP-1, ESOP-2, SITHOS, CONVECTION, and DAMOCLES, which in turn is serving to widen his horizons to the holistic approach to earth-system science, and providing him with a deep understanding of the process occurring in the polar regions.
Dr Wilkinson has a number of major grants active (> €/£250k): These include the EU FP7 Arctic Climate Change, Economy and Society project (ACCESS: 2011-15), the European Science Foundation funded programme Arctic Ocean Sea-ice and Ocean Circulation Changes Using Satellite Methods: (SATICE: 2010-13), the NERC funded Sea ice Processes and Mass Balance in the Bellingshausen Sea (IceBell: 2010-13), the ONR funded MIZ programme (2012-15). Jeremy is coordinator of the new €12 million FP7 programme ICE-ARC (2014-17). It is through these and other programmes he has built up a broad network of national and international collaboration.
Bowler, E., Byrne, J., Leclerc, L., Roberto-Charron, A., Rogers, M., Cavanagh, R., Harasimo, J., Lancaster, M., Chan, R., Strickson, O., Wilkinson, J., Downie, R., Hosking, J., & Andersson, T. (2025). Pan-Arctic 93-day sea ice concentration forecasts from the IceNet model and mappings between sea ice concentration and Dolphin and Union caribou sea ice crossing-start times (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/8738b3cb-52c7-4b36-aa6d-6e15c0b46ba4
Veyssiere, G., Wilkinson, J., Castellani, G., & Karcher, M. (2024). Incoming and transmitted irradiance through snow and sea ice in the Chukchi Sea in August 2019 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/48ab304d-1ff5-4ab1-981e-59fc827bd73d
Andersson, T., & Hosking, J. (2021). Forecasts, neural networks, and results from the paper: ‘Seasonal Arctic sea ice forecasting with probabilistic deep learning’ (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/71820e7d-c628-4e32-969f-464b7efb187c
QUASAR uses AI to improve Antarctic sea ice measurements from satellites, making climate data more reliable for scientists tracking changes in polar regions.
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Report published July 2018
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