ICE³: Modelling the global multi-century evolution of glacier ICE in 3D
ICE³ aims to enhance global glacier modeling by reducing uncertainties and simulating past evolution to improve future projections of sea-level rise and water availability under various emission scenarios.
Projectdetails
Introduction
Glaciers are key contributors to sea-level rise and are critical water resources that supply fresh water to hundreds of millions of people around the world. It is therefore of paramount importance to accurately simulate the future evolution of these precious ice bodies.
Challenges in Current Modelling
Despite recent progress in modelling the global evolution of glaciers, existing simulations suffer from vast uncertainties related to:
- Model input
- A simplified representation of glacier processes
- An important mismatch between the timescales over which models are calibrated (multi-annual to decadal) and those over which the future glacier projections occur (century timescale)
Objectives of ICE³
ICE³ will revolutionise the regional- to global-scale modelling of glaciers by:
- Strongly reducing uncertainties in model input through innovative inversion of climatic information
- Developing new approaches to model glacier processes in 3D
- For the first time, simulating past glacier evolution globally over centennial time scales with an ice-dynamic model
Expected Outcomes
These improvements will culminate in new global glacier evolution projections under a range of future emission scenarios, which will in turn inform the next generation of sea-level rise and water availability projections.
Impact on Policy and Practice
While redefining the landscape of large-scale glacier modelling, ICE³ will also ensure that the novelties it produces are incorporated in climate change impact models to guide policymakers and practitioners in adapting to a changing environment.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.496.941 |
Totale projectbegroting | € 1.496.941 |
Tijdlijn
Startdatum | 1-1-2024 |
Einddatum | 31-12-2028 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- VRIJE UNIVERSITEIT BRUSSELpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Past and Future High-resolution Global Glacier Mass ChangesGLACMASS aims to enhance global glacier mass reconstruction and projections using a novel modeling framework that integrates data assimilation and machine learning for improved accuracy and efficiency. | ERC Advanced... | € 2.499.957 | 2023 | Details |
Novel subglacial ocean models to accurately predict Ice-shelf Ablation rates at high resolution and low computational costThis project aims to enhance predictions of Antarctic ice shelf dynamics and ablation rates by developing innovative models and data-driven simulations to reduce computational costs and improve understanding of ocean interactions. | ERC Starting... | € 1.497.861 | 2024 | Details |
Arctic Summer Sea Ice in 3DSI/3D aims to enhance Arctic sea ice forecasting by integrating satellite altimetry data and deep learning to produce uninterrupted summer sea ice thickness records, improving climate models and stakeholder insights. | ERC Starting... | € 2.062.021 | 2023 | Details |
Probing and predicting the dynamical response of the Greenland-Ice-Sheet to surface melt waterThis project aims to reassess the impact of surface meltwater on Greenland Ice Sheet dynamics by linking glacier morphology to ice loss, using innovative monitoring and modeling techniques. | ERC Consolid... | € 2.960.956 | 2024 | Details |
Forecasting climate surprises on longer timescalesDevelop a novel probabilistic methodology and Fast Earth System Model to forecast climate surprises from ice-sheet and AMOC collapse over centuries to millennia, enhancing long-term climate projections. | ERC Consolid... | € 1.976.300 | 2023 | Details |
Past and Future High-resolution Global Glacier Mass Changes
GLACMASS aims to enhance global glacier mass reconstruction and projections using a novel modeling framework that integrates data assimilation and machine learning for improved accuracy and efficiency.
Novel subglacial ocean models to accurately predict Ice-shelf Ablation rates at high resolution and low computational cost
This project aims to enhance predictions of Antarctic ice shelf dynamics and ablation rates by developing innovative models and data-driven simulations to reduce computational costs and improve understanding of ocean interactions.
Arctic Summer Sea Ice in 3D
SI/3D aims to enhance Arctic sea ice forecasting by integrating satellite altimetry data and deep learning to produce uninterrupted summer sea ice thickness records, improving climate models and stakeholder insights.
Probing and predicting the dynamical response of the Greenland-Ice-Sheet to surface melt water
This project aims to reassess the impact of surface meltwater on Greenland Ice Sheet dynamics by linking glacier morphology to ice loss, using innovative monitoring and modeling techniques.
Forecasting climate surprises on longer timescales
Develop a novel probabilistic methodology and Fast Earth System Model to forecast climate surprises from ice-sheet and AMOC collapse over centuries to millennia, enhancing long-term climate projections.