HEИндивидуална стипендия2026–2028

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

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2026-06-01 → 2028-05-31
Финансиране от ЕС
193 643 €
Участници
1
Схема
HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Кондензационните следи от самолетните двигатели се анализират чрез симулации, за да се разбере как различните горива и условия влияят върху образуването на ледени кристали. Това помага за подобряване на климатичните модели и разработването на по-екологични двигатели за намаляване на вредните ефекти.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

  • SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNA · PisaКоординаторИталия

Връзки

Данни: CORDIS, © Европейски съюз