Objective
Polar regions are some of the least accessible regions on Earth, yet the number of continuously operating seismic stations has increased ten-fold in the last decades. When traveling in presence of ice, the seismic wavefield is reshaped and thus seismology is an ideal powerful tool to extract and monitor key ice-properties. In particular, the seismic ambient noise (SAN) wavefield is recorded continuously in time, having high temporal resolution. Compared to costly satellites and airborne campaigns commonly used to study ice in polar regions, seismology can (a) take records further back in time, (b) fill spatial gaps in satellite and airborne data and (c) fill temporal monitoring gaps. However, little is known about SAN in polar regions and how it can be used to infer ice properties. SAN-ICE will use for the first time a combination of advanced seismic data analysis and full wavefield numerical simulations to (1) characterize seismic wave propagation in presence of ice (both land and sea ice) and (2) infer ice and uppermost crustal properties using SAN. My work will consist of three work packages. First, by using novel and classical seismic methods, I will obtain high resolution maps across the whole Greenland and Antarctica of seismic velocity, density and thickness of ice and crust, completely constrained by seismic data alone. Second, I will perform time-dependent analyses of all the seismic data available up to 40 years ago from Greenland and Antarctica for monitoring ice and crustal structure changes. Third, by modeling the full wavefield and using oceanographic and satellite data, I will investigate the damping effect of sea ice on seismic waves and get new insights on sea ice changes. With this proposed work, I will explore new routes entirely based on seismology and SAN for helping to quantify ice mass changes over time, which in turn, are crucial for predictions of future sea level rise, one of the most devastating potential impacts of climate change.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- natural sciences earth and related environmental sciences geology seismology
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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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.
WC1E 6BT LONDON
United Kingdom
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.