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Next generation framework for global glacier forecasting

Project description

New modelling strategy will allow refined forecasts of future global glacier evolution

The Glacier National Park in Montana, in the United States, was established in 1910 with approximately 150 glaciers. That number has shrunk to less than 30, and even those remaining cover only about a third of the area they did a little over a century ago. For more than 30 years in a row we have been witnessing the mass loss of mountain glaciers worldwide, which is dramatic evidence of the acceleration of global warming. This melting is putting millions of people at risk from floods, drought and lack of drinking water. The EU-funded FRAGILE project is developing significantly improved models of global glacier evolution, resolving glaciers within their complex 3D valley topography, drawing on the immense information flow from Earth observations and building on regional rather than global climate forecasts. Moreover, FRAGILE will boost the confidence in the present-day glacier ice volume by calibrating estimates for each glacier on Earth.

Objective

Worldwide glacier retreat outside the two large ice sheets is increasingly tangible and the associated ice-loss has dominated the cryospheric contribution to sea-level change for many decades. This retreat has also become symbolic for the effects of the generally warming climate. Despite the anticipated importance for future sea-level rise, continuing glacier retreat will affect seasonal freshwater availability and might add to regional water-stress in this century. Here, I envision a novel self-consistent, ice-dynamic forecasting framework for global glacier evolution that will lift the confidence in forward projections for this century to new heights. For the first time, each glacier on Earth will be treated as a three-dimension body within its surrounding topography without using any form of geometric simplification. The heart of the framework is the systematic utilisation of the rapidly growing body of information from satellite remote sensing. For this purpose, I intend to pass on to ensemble assimilation techniques that transiently consider measurements as they become available. This will streamline and increase the total information flow into glacier models. In terms of climatic forcing, global products will be replaced by regional forecasts with high-resolution climate models. Moreover, a more realistic representation of the local energy balance at the glacier surface is pursued that ensures multi-decadal stability in the melt formulation. The envisaged 3D finite-element modelling framework also allows a direct integration of iceberg calving, which is, on global scales, an often-unconsidered dynamic ice-loss term. To this day, a key limitation of glacier projections is the poorly constrained ice volume and its distribution at present. Here, I put forward a promising remedy that builds on multi-temporal satellite information to calibrate a state-of-the-art reconstruction approach for mapping basin-wide ice thickness on virtually any glacier.

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Programme(s)

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Topic(s)

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Funding Scheme

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ERC-STG - Starting Grant

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Call for proposal

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(opens in new window) ERC-2020-STG

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Host institution

FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 499 950,00
Address
FREYESLEBENSTRAßE 1
91058 ERLANGEN
Germany

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Region
Bayern Mittelfranken Erlangen, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 499 950,00

Beneficiaries (1)

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