NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET)
NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET)
批准号:
1739031
负责人:
Mathieu Morlighem
金额:
$111.95万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-04-01 至 2021-10-31
中文摘要
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英文摘要
This project contributes to the joint initiative launched by the U.S. National Science Foundation (NSF) and the U.K. Natural Environment Research Council (NERC) to substantially improve decadal and longer-term projections of ice loss and sea-level rise originating from Thwaites Glacier in West Antarctica. Thwaites Glacier has been accelerating and widening over the past three decades. How fast Thwaites will disintegrate or how quickly it will find a new stable state have become some of the most important questions of the future of the West Antarctic Ice Sheet and its contribution to sea-level rise over the next decades to centuries and beyond. This project will rely on three independent numerical models of ice flow, coupled to an ocean circulation model to (1) improve our understanding of the interactions between the ice and the underlying bedrock, (2) analyze how sensitive the glacier is to external changes, (3) assess the processes that may lead to a collapse of Thwaites, and, most importantly, (4) forecast future ice loss of Thwaites. By providing predictions based on a suite of coupled ice-ocean models, this project will also assess the uncertainty in model projections.The project will use three independent ice-sheet models: Ice Sheet System Model, Ua, and STREAMICE, coupled to the ocean circulation model of the MIT General Circulation Model. The team will first focus on the representation of key physical processes of calving, ice damage, and basal slipperiness that have either not been included, or are poorly represented, in previous ice-flow modelling work. The team will then quantify the relative role of different proposed external drivers of change (e.g., ocean-induced ice-shelf thinning, loss of ice-shelf pinning points) and explore the stability regime of Thwaites Glacier with the aim of identifying internal thresholds separating stable and unstable grounding-line retreat. Using inverse methodology, the project will produce new physically consistent high-resolution (300-m) data sets on ice-thicknesses from available radar measurements. Furthermore, the team will generate new remote sensing data sets on ice velocities and rates of elevation change. These will be used to constrain and validate the numerical models, and will also be valuable stand-alone data sets. This process will allow the numerical models to be constrained more tightly by data than has previously been possible. The resultant more robust model predictions of near-future impact of Thwaites Glacier on global sea levels can inform policy-relevant decision-making.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland
利用遥感观测冰川中的行波:新的灵活时间序列方法及其在格陵兰岛 Sermeq Kujalleq(雅各布港伊斯布雷)的应用
DOI:
10.5194/tc-15-407-2021
发表时间:
2021
期刊:
The Cryosphere
影响因子:
--
作者:
[Riel, Bryan, Minchew, Brent, Joughin, Ian]
通讯作者:
Joughin, Ian
Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet
南极冰盖边缘下露出深邃的冰川槽和稳定山脊
DOI:
10.1038/s41561-019-0510-8
发表时间:
2020-02-01
期刊:
NATURE GEOSCIENCE
影响因子:
18.3
作者:
[Morlighem, Mathieu, Rignot, Eric, Young, Duncan A.]
通讯作者:
Young, Duncan A.
Collaborative Research: Frameworks: Convergence of Bayesian inverse methods and scientific machine learning in Earth system models through universal differentiable programming
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批准号:2104009
-
项目类别:Standard Grant
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资助金额:$46.16万
-
财政年份:2021
-
负责人:Mathieu Morlighem
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依托单位:
Collaborative Research: GRate – Integrating data and modeling to quantify rates of Greenland Ice Sheet change, Holocene to future
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批准号:2105960
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项目类别:Standard Grant
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资助金额:$17.52万
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财政年份:2021
-
负责人:Mathieu Morlighem
-
依托单位:
Collaborative Research: Frameworks: Convergence of Bayesian inverse methods and scientific machine learning in Earth system models through universal differentiable programming
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批准号:2147601
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项目类别:Standard Grant
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资助金额:$46.16万
-
财政年份:2021
-
负责人:Mathieu Morlighem
-
依托单位:
NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET)
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批准号:2152622
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项目类别:Continuing Grant
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资助金额:$111.95万
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财政年份:2021
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负责人:Mathieu Morlighem
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依托单位:
Collaborative Research: Evaluating Retreat in the Amundsen Sea Embayment: Assessing Controlling Processes, Uncertainties, and Projections
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批准号:1443229
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项目类别:Standard Grant
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资助金额:$11.69万
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财政年份:2015
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负责人:Mathieu Morlighem
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依托单位:
Collaborative Research: Ice sheet sensitivity in a changing Arctic system - using data and modeling to test the stable Greenland Ice Sheet hypothesis
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批准号:1504230
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项目类别:Standard Grant
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资助金额:$61.02万
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财政年份:2015
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负责人:Mathieu Morlighem
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依托单位:
海外基金