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Coupled Aerosol–jet Simulation and Sensitivity Analysis with Nonlinear Data Recovery and Assimilation

Project description

Modelling contrail formation to reduce aviation’s climate impact

Aircraft condensation trails – the white plumes streaming behind jets – contribute significantly to aviation's climate impact. The physical processes governing their formation remain poorly understood, limiting the ability to predict and mitigate their radiative forcing effects. With the support of the Marie Skłodowska-Curie Actions programme, the CASSANDRA project aims to develop a coupled computational framework that integrates turbulent jet dynamics with ice microphysics. It could reveal how different fuels and engine operating conditions influence ice crystal formation and contrail persistence. By assimilating experimental and flight test data using reduced-order modelling, the project will deliver physics-based insights to improve climate models and support evidence-based policies optimising the design of aero-engines for novel sustainable fuels.

Objective

Condensation trails (known as contrails), which form immediately downstream of aircraft engines, are a significant yet still poorly characterized contributor to aviation-induced radiative forcing. My project (CASSANDRA) aims to address this knowledge gap by numerically investigating the coupled microphysical and fluid-dynamics processes that control contrail formation, with a particular emphasis on how different jet fuels and operating conditions influence the activation of aerosol particles in the jet plume and the subsequent nucleation and growth of ice crystals. CASSANDRA will develop a physics and data-driven framework to assess contrails formation.

In the early stages of contrail formation, the tight coupling between turbulent jet dynamics and ice microphysics governs the resulting ice particle number density and size distribution, thereby setting the stage for contrail evolution and persistence. To capture these processes with greater accuracy, I will integrate data assimilation techniques aided by reduced order modelling approaches into the computational framework. This will enable me to leverage existing experimental and flight test data in the literature to validate and improve the predictive capabilities of my models.

This research will produce robust, physics-based insights that can improve one-dimensional climate models relying on satellite data and assumptions about ice-nucleating particles. Overall, this will develop a tool for Coupled Aerosol-jet Simulation and Sensitivity Analyisis with Non-linerar Data Recovery and Assimilation (CASSANDRA). The new knowledge will also support evidence-based policymaking, informing strategies to optimize the development of aero-engine architectures for novel sustainable fuels, and ultimately mitigate the non-CO2 climate impact of aviation.

Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNA
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.

€ 193 643,28
Address
PIAZZA MARTIRI DELLA LIBERTA 33
56127 Pisa
Italy

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Region
Centro (IT) Toscana Pisa
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.

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