HBCU-RISE Hampton University: Advanced Physical Modeling and Simulation for 21st Century Scientists

HBCU-RISE 汉普顿大学：21 世纪科学家的高级物理建模和仿真

• 批准号: 1345209
• 负责人: William Moore
• 金额: $ 100万
• 依托单位: Hampton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-03-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1345209&HistoricalAwards=false
• 关键词: HBCU; RISE; Hampton; University; Advanced

With National Science Foundation support, Hampton University will build a self-sustaining High Performance Computing center. Building on Hampton University's strength in atmospheric sensing, the institution will develop a complementary modeling and data analysis capability through the acquisition of a large, parallel computer cluster. The proposed infrastructure will advance research in Polar Stratospheric Clouds (potential harbingers of climate change), Jet Stream Dynamics, Dust Transport, Long-term Atmospheric Evolution, Atmospheric Chemistry and Parallel Algorithms. In addition, the proposed infrastructure will enable the development of high-resolution, high-fidelity physical models and data analysis tools capable of ingesting very large and heterogeneous data sets. Intellectual Merit:Research goals include computational fluid dynamics models of the Antarctic Circumpolar Jetstream to be integrated with analysis of multi-satellite, multi-instrument datasets, analysis of the planetary boundary layer for comparison with LIDAR data, line-by-line radiative transfer models for interpreting limb sounding data, and parallel algorithm development taking advantage of structured matrices.In addition to providing new insights into Earth's Polar Regions, study of the dynamics of Earth's Antarctic Circumpolar Jetstream will be extended to jet streams on other planets. The new computing cluster will allow researchers to explore dynamical effects that could not be incorporated into previous simulations. Evolution of atmospheres on terrestrial planets will also be investigated by focusing on the set of feedbacks identified within the mantle: the effects of water and mantle temperature on volcanism and lithospheric stresses (and hence subduction). The other feedback of interest is the influence of the surface temperature on the mantle temperature which then influences all the mantle fluxes. Proposed computational resources will also enable project researchers to run the Mars Weather Research and Forecasting model, which is capable of performing simulations at the necessary scales forparameterization development. This work will help constrain the conditions under which dust-driven convection occurs on Mars and greatly improve our understanding of their dynamics once they evolve.Broader Impact:The high-performance computing platform and student pipeline to be established by this project will benefit society through improved understanding of the atmosphere and climate, through development of more effective observing and modeling techniques, and through the training of a diverse workforce expertise in advanced physical modeling methods. The proposed computational resource will allow researchers to propose more advanced modeling and analysis efforts, incorporate more detailed physical models, increase coverage and resolution, and explore wider ranges of parameter space than are possible now.

在国家科学基金会的支持下，汉普顿大学将建立一个自给自足的高性能计算中心。在汉普顿大学在大气传感方面实力的基础上，该机构将通过收购一个大型并行计算机集群来开发互补的建模和数据分析能力。拟议的基础设施将促进极地平流层云(气候变化的潜在先兆)、急流动力学、尘埃输送、长期大气演变、大气化学和并行算法的研究。此外，拟议的基础设施将能够开发高分辨率、高保真的物理模型和数据分析工具，能够摄取非常大和不同种类的数据集。智力价值：研究目标包括将南极绕极急流的计算流体动力学模型与多卫星、多仪器数据集的分析相结合，分析行星边界层以与激光雷达数据进行比较，逐行辐射传输模型用于解释肢体探测数据，以及利用结构化矩阵开发并行算法。除了为地球极地地区提供新的见解外，对地球南极绕极急流动力学的研究将扩展到其他行星上的急流。新的计算集群将允许研究人员探索以前的模拟中无法包含的动态效果。还将通过重点研究地幔内确定的一组反馈来研究类地行星上大气的演变：水和地幔温度对火山活动和岩石圈应力(从而俯冲)的影响。另一个令人感兴趣的反馈是地表温度对地幔温度的影响，进而影响所有的地幔通量。拟议的计算资源还将使项目研究人员能够运行火星天气研究和预报模型，该模型能够在必要的尺度上进行模拟，以进行参数化开发。这项工作将有助于限制火星上发生尘埃驱动对流的条件，并在它们演化后极大地提高我们对它们的动力学的理解。广泛的影响：该项目将建立的高性能计算平台和学生管道将通过改善对大气和气候的理解、开发更有效的观测和建模技术以及通过培训不同的工作人员在高级物理建模方法方面的专业知识来造福社会。拟议的计算资源将使研究人员能够提出更先进的建模和分析工作，纳入更详细的物理模型，提高覆盖范围和分辨率，并探索比现在更广泛的参数空间范围。