High-performance Computing and Data-driven Modeling of Aircraft Contrails

这个项目旨在模拟凝结尾迹的早期形成，这是由飞机发动机排出的水产生的冰云。虽然尾迹最初看起来是线性的，但它们可以在有利的大气条件下扩散，形成可以持续数小时的卷云，最终与自然卷云几乎无法区分。尾迹和尾迹卷确实是对地球辐射收支（即地球进入、反射、吸收和发射的能量平衡）的最不确定的航空贡献。建模这个复杂的多物理问题是具有挑战性的，因为不同的物理过程在不同的时间和空间尺度上相互作用。该项目利用高分辨率数值模拟解决了这一挑战，该模拟广泛依赖于高性能计算和先进的可视化技术，以帮助识别、捕获和建模轨迹特征。建模的主要重点是在航迹演变的早期阶段，在那里由飞机尾流涡产生的大尺度运动和由射流和尾流湍流引起的小尺度扰动相互作用。尾迹参数化结果将支持将排放整合到全球大气模式中。尾迹特性对初始粒子排放的敏感性可能提示潜在的减缓战略。来自伊利诺伊大学芝加哥分校、西班牙裔服务机构和少数族裔服务机构的少数族裔学生将参与计算研究。本研究的具体目标是：(1)首次开展包含飞机完整几何结构的全三维空间大涡尾迹形成模拟（LES），并建立喷气和涡旋状态下尾迹演变的精确数据集；(2)利用先进的可视化技术记录仿真工作流程，识别三维轨迹特征和拟合参数；(3)利用基于高保真度数据训练的人工神经网络，降低生成数据集的大维数，提供喷气期末尾迹结构的一般准确模型；(4)利用统计启发的方法（如参数化的多项式-混沌展开）重建全时间演化过程中的轨迹全局属性。通过这项工作开发的技术将使轨迹参数化与全球大气模式中使用的物理假设和守恒方程相一致。这些技术将进一步处理冰粒的微物理和光学/辐射特性的巨大不确定性。该技术还将处理大气条件的大变异性，这些条件决定了LES尾迹的背景和边界条件。可视化分析框架将能够检测和分析流量特征，以及对多个模拟和参数进行多尺度和多运行分析。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to model the early-phase formation of condensation trails ("contrails"), which are ice clouds generated by water exhaust from aircraft engines. Although the contrails initially appear to be linear, they can spread under favorable atmospheric conditions and form cirrus clouds that can persist for hours and eventually become almost indistinguishable with natural cirrus. Contrails and contrail-cirrus are indeed the most uncertain aviation contributions to the Earth-radiation budget (that is, the balance of energy entering, reflected, absorbed, and emitted by the Earth). Modeling this complex multi-physics problem is challenging because the different physical processes interact at different time and spatial scales. This project addresses this challenge using high-resolution numerical simulations that rely extensively on high-performance computing and advanced visualization techniques to help identify, capture and model contrail features. The primary focus of the modeling is on the early phase of contrail evolution where the presence of large-scale motions generated by the aircraft wake vortices and the small-scale perturbations induced by the jet and wake turbulence interact. The contrail parameterization results will support the integration of emissions into global atmospheric models. The sensitivity of contrail properties to the initial particle emissions may suggest potential mitigation strategies. Underrepresented minority students from the University of Illinois at Chicago, a Hispanic Serving Institution and a Minority Serving Institution, will be engaged in the computational research.The specific goals of the research are: (1) to carry out the first fully three-dimensional spatial large-eddy simulations (LES) of contrail formation that include the full aircraft geometry and to develop an accurate data-set of contrail evolution in the jet and vortex regime; (2) to identify the three-dimensional contrail features and fit parameters by journaling the simulation workflow using advanced visualization techniques; (3) to reduce the large dimensionality of the generated data-set and provide a general and accurate model of contrail structure at the end of the jet regime using Artificial Neural Networks based on high-fidelity data training; and (4) to reconstruct contrail global properties over the full time evolution using statistically inspired methods such as Polynomial-Chaos expansions for parameterization into global models. The techniques developed through this work will enable contrail parameterizations that are consistent with the physical assumptions and the conservation equations used in global atmospheric models. These techniques will further handle large uncertainties in the microphysical and optical/radiative properties of ice particles. The techniques will also handle large variability in atmospheric conditions that determine the background and boundary conditions for LES of contrails. A visual analysis framework will enable detection and analysis of flow features, as well as multi-scale and multi-run analysis of multiple simulations and parameters.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.