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A new isotope-enabled climate model dedicated to polar studies, to reconstruct Antarctic climate variability and improve sea level rise projections

Project description

Isotope observations for Antarctic climate simulation

Modelling the complex coupling system that accelerates the rate of Antarctic ice loss can improve projections of sea level rise. However, the lack of direct observational measurements required to assess and improve global climate models prevents simulation of the future of the Antarctic ice sheet. The isotopic signals contained in Antarctic ice cores can record the climate variability but have limited performance in simulating polar-specific processes. The EU-funded POLARISO project connects advances in Antarctic climate modelling and advances in the successive measurement of water isotopes in water vapour and precipitation in Antarctica to deliver robust transfer functions between climate models and water isotope alterability, allowing new climate simulations in Antarctic deep and shallow ice cores.

Objective

The rate of Antarctic ice loss is accelerating and reached 20% of the global sea level rise in 2012–2017. This acceleration is attributed to the coupling between atmosphere, ocean, and ice sheet dynamics. Intensive efforts are in place for modelling this complex coupled system, which is the only valid approach to improve sea level rise projections. However, the greatest uncertainty in simulating the future of the Antarctic ice sheet is due to the lack of direct observational constraints required to evaluate and improve global climate models. The isotopic signals contained in Antarctic ice cores have high potential to record the climate variability of recent centuries as water stable isotopes are tracers of the whole water cycle pathway. However, linking the isotopic signal to climate patterns requires to use isotope-enabled climate models, which are currently limited by their poor skills in simulating polar-specific processes.

The POLARISO project aims to overcome this major limitation by implementing water stable isotopes in a polar-oriented regional climate model, which will be evaluated with new isotope observations in Antarctica. We will then use the validated simulations to identify large scale drivers of the isotope variability at the Antarctic surface. This project is based on a synergy between advances in Antarctic climate modelling (PI) and advances in continuous measurements of water isotopes in water vapor and precipitation in Antarctica (host). The POLARISO project will provide robust transfer functions between climate modes and water isotope variability, which will open doors for new climate reconstructions based on water isotope measurements in Antarctic deep and shallow ice cores. It will also enable the PI to reach an independent leading position by developing an internationally unique expertise on polar regional modelling equipped with water isotopes, dedicated to model-data studies.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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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.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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.

€ 196 707,84
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.

€ 196 707,84
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