Active Climate, Earth & Environment Mathematics & Statistics

[NERC-NSFGEO] BISTO: Better Ice Sheet forecasts via Transient assimilation and refined Ocean forcing

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Antarctica is losing ice three times faster than it did thirty years ago, and current computer models cannot agree on how much worse it will get. This disagreement stems from two problems: models cannot properly use the wealth of satellite data now available, and they poorly simulate how warming oceans melt ice shelves from below. The BISTO project will solve both problems by developing new methods to feed satellite observations directly into ice-sheet models and by running high-resolution ocean simulations that capture the small-scale processes driving melt. If successful, the research will produce the first 21st-century sea-level projections that are consistent with the full range of satellite measurements—covering thinning rates, glacier acceleration, and ice-shelf melt. For coastal planners in the Northern Hemisphere, this means moving from forecasts that span an impossibly wide range to ones with genuine, quantified uncertainty. The project also provides a practical roadmap for major climate modelling centres that are now building interactive ice sheets into their Earth-system models, giving society a better chance to prepare for what is coming.

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The rate of loss of ice from the Antarctic Ice Sheet has tripled in the last three decades, and is expected to continue increasing – potentially leading to several tens of centimetres of sea level rise by 2100 – with important implications for planning and adaptation in coastal communities, particularly in the Northern Hemisphere. These losses are largely attributed to increased ocean-driven melting of floating ice shelves, which causes fast-flowing outlet glaciers to speed up. Warming oceans could further increase this melt under climate change, so it is critically important that models deliver credible assessments of the ice-sheet response to different greenhouse-gas emissions scenarios. A major limitation arises from the wide disparity in responses of current ice-sheet models to future climate warming. This disparity is due in large part to uncertainty in ice-sheet models’ representation of the current ice state, owing to ice sheets’ long memory of past changes. It also arises from uncertainty in how the future melting of ice shelves responds to ocean warming, and poor knowledge of key physical processes which ice-sheet models do not fully resolve. The key advance of this project will be to reduce uncertainty in 21st century ice loss from Antarctica through (i) next-generation assimilation of satellite observations into ice sheet models and (ii) advanced climate downscaling through high-resolution ocean simulation. This will be achieved through the following objectives: Improve Ice-sheet Data Assimilation to capture the current dynamic state of Antarctic glaciers and reduce model uncertainty. Improve model representation of poorly constrained ice processes by leveraging the results of assimilation. Develop an effective modelling treatment for ocean-driven melt through high-resolution simulations. Improve projections of 21st century sea-level contributions through coupled modelling of dynamic Antarctic glaciers under greenhouse-gas emission scenarios. We will, for the first time, produce 21st century projections of ocean-driven ice loss from Antarctica that are consistent with the full range of satellite observations of ice-sheet thinning, ice-stream acceleration, and ice-shelf melt. By focusing on regions in West and East Antarctica with the strongest thinning rates and oceanic forcing, we will greatly reduce uncertainties in century-scale ice loss and provide step-change improvements in ice-sheet data assimilation and ice-ocean modelling to the Antarctic modelling community. The proposed contributions are both novel and timely. The modern satellite record offers an ever-growing wealth of information on ice-sheet evolution, yet most ice-sheet models remain incapable of integrating it. In the Ice Sheet Model Intercomparison ISMIP6 (part of the Coupled Model Intercomparison CMIP6), most models did not reproduce the observed ice loss, and ice-loss forecasts had a incredibly wide range. Our preparations for ISMIP7 will commence shortly. BISTO will provide methodologies of how to formally constrain ice sheet models to match the observed ice loss, and demonstrate the impact on ice-sheet forecasts and their uncertainty. Many leading climate modelling centres are developing interactive ice sheets and ice shelves in their modelling frameworks. However, they face issues of resolution (due to the small-scale ocean processes under ice shelves) and initialization (due to the long time scales inherent in both ocean and ice sheets and the tight coupling between them). The objectives of BISTO will provide roadmaps for these large-scale ice-ocean coupling efforts, greatly improving societal capacity to project future sea level rise.

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Researchers

Daniel Goldberg (Principal Investigator)Kaitlin Naughten (Co-Investigator)Noel Gourmelen (Co-Investigator)Paul Holland (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

CONNECTing past, present and future: hindcast and forecast of Antarctic ice loss between 1990 and 2100
Ice shelves in a warming world: Filchner Ice Shelf system, Antarctica
Is ice loss from West Antarctica driven by ocean forcing or ice and ocean feedbacks?
Using Antarctica's response in the mid-Pliocene warm period to understand uncertainties about long-term future sea level rise
QUoRUM: QUantifying and Reducing Uncertainty in Multi-Decadal Projection of Ice Sheet-Sea Level Contribution

Original classification

Research and Innovation

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