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Details of Award

NERC Reference : NE/Y002369/1

NSFGEO-NERC: Understanding surface-to-bed meltwater pathways across the Greenland Ice Sheet using machine-learning and physics-based models

Grant Award

Principal Investigator:
Dr LA Stevens, University of Oxford, Earth Sciences
Co-Investigator:
Professor IJ Hewitt, University of Oxford, Mathematical Institute
Science Area:
Atmospheric
Earth
Freshwater
Marine
Terrestrial
Overall Classification:
Panel B
ENRIs:
Global Change
Science Topics:
Glacial processes
Climate & Climate Change
Glacial lakes
Ice flow models
Glacial & Cryospheric Systems
Flow pathways
Ice flow
Hydrological Processes
Non-linear Systems Mathematics
Numerical Analysis
Abstract:
Greenland Ice Sheet (GrIS) mass loss acceleration is driven by increasing rates of surface melt and calving of marine-terminating outlet glaciers. The links between increasing surface melt and ice-flow dynamics are poorly understood, in part because we do not mechanistically understand where and under what conditions meltwater accesses the ice-sheet bed at a continental scale. Surface meltwater must reach the ice-bed interface via a surface-to-bed meltwater pathway for meltwater to affect GrIS flow dynamics and, in most cases, for meltwater to contribute to sea level. Surface-to-bed pathways have been manually mapped in local regions (<500 km2), but these methodologies are not practical at the continental scale (~10 to the power of 6 km2). Automated characterization and mapping of ice-sheet surface features is required to fill this gap in knowledge and advance our understanding of the features and processes driving meltwater's influence on ice-sheet dynamics. To understand the formation of surface-to-bed meltwater pathways across the GrIS and their impact on ice-flow dynamics, this three-year project will use a combination of remote-sensing observations, deep learning, and physics-based models to: (1) detect continent-wide surface fractures, moulins and supraglacial lake drainage events with satellite imagery; (2) determine the ice-sheet conditions required to trigger supraglacial lake drainage via hydrofracture and create surface-to-bed pathways; and (3) model the impact of supraglacial lake drainage events on ice-flow dynamics at a regional scale. These objectives will produce the first comprehensive, continental-scale database of GrIS surface-to-bed meltwater pathways and supraglacial lake drainage dates and mechanisms.
Period of Award:
1 Sep 2023 - 31 Aug 2026
Value:
£252,024
Authorised funds only
NERC Reference:
NE/Y002369/1
Grant Stage:
Awaiting Event/Action
Scheme:
Standard Grant FEC
Grant Status:
Active

This grant award has a total value of £252,024  

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FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsIndirect - Indirect CostsDA - InvestigatorsDI - StaffDA - Estate CostsDI - T&SDA - Other Directly Allocated
£4,841£103,708£35,042£63,655£33,474£10,252£1,054

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