Collaborative Research: Petascale Design and Management of Satellite Assets to Advance Space Based Earth Science

合作研究：千万亿次卫星资产设计和管理，以推进天基地球科学

• 批准号: 1144217
• 负责人: Eric Wood
• 金额: $ 1.25万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144217&HistoricalAwards=false
• 关键词: Collaborative; Research; Petascale; Design; Management

This award facilitates scientific research using the large, new, computational resource named Blue Waters being deployed at the University of Illinois. It provides travel funds to support technical coordination between the principal investigators, the Blue Waters project team and the vendor technical team.This collaborative award to Pennsylvania State University and Princeton University formally links high-resolution astrodynamics design and coordination of space assets with Earth science impacts. This is accomplished through the project's petascale many-objective global optimization framework. The multidisclinary research team will exploit Petascale global sensitivity-based model diagnostics to evaluate the predictive fidelity of the astrodynamics and Earth system models, and allow visualization of design tradeoffs. With Blue Waters, the project's research aims to transform the scale and scope of systems-of-systems engineering design challenges that can be explored. From the design cognition perspective, this use of Blue Waters will radically advance ability to discover and visualize optimal many-objective satellite constellation design tradeoffs that include Earth science applications. In this case the research will demonstrate the planning framework on Blue Waters using Global Precipitation Measurement (GPM). GPM provides a highly challenging design benchmark that has strong links to Earth science through its (1) 4-D characterization of freshwater availability, (2) improved characterization of the microphysical properties of precipitation events, (3) improved climate predictions based on enhanced estimation of surface water fluxes, (4) high value operational data for numerical weather prediction, and (5) global enhancements in hydrologic prediction and management of floods, droughts, landslides, and hurricanes.Beyond the US and Europe, there is a critical deficiency in the in-situ Earth observations needed to monitor floods and droughts. In the developing world, water managers are reliant on future satellite observations and in particular on satellite-based precipitation information. The proposed framework will strengthen our ability to serve this critical need by providing a specific evaluation of how candidate GPM designs can potentially improve our ability to use satellite data for flood assessment, drought monitoring, and assessing water availability in large river basins. The project will also be used in the training of 15-25 demographically and geographically diverse graduate PhD students from engineering, computer science, mathematics, statistics, operations research, and the Earth sciences.

该奖项利用伊利诺伊大学部署的名为蓝色水域的大型，新的计算资源来促进科学研究。它提供了旅行资金，以支持主要研究人员，蓝色水域项目团队和供应商技术团队之间的技术协调。这是宾夕法尼亚州立大学和普林斯顿大学的合作奖，正式将高分辨率的天文学设计与太空资产的协调联系起来。 这是通过该项目的Petascale多目标全球优化框架实现的。 多元素研究小组将利用基于Petascale的全球敏感性模型诊断来评估天体动力学和地球系统模型的预测性，并允许可视化设计权衡。借助Blue Waters，该项目的研究旨在改变可以探索的系统工程设计挑战的规模和范围。从设计认知的角度来看，蓝色水域的这种使用将从根本上提高发现和可视化最佳的多目标卫星星座设计折衷方案，其中包括地球科学应用。 在这种情况下，研究将使用全球降水测量（GPM）证明蓝色水域的规划框架。 GPM提供了一种高度挑战性的设计基准，该基准通过其（1）4-D对淡水的可用性表征与地球科学建立了牢固的联系，（2）改善了降水事件的微物理特性的表征，（3）基于增强地表水的估算的增强的气候预测，（4）在地表水的估计中，（4）在数值的天气预测和全球范围内的高价值操作，（5）全球培训，（5）全球培训，（5）全球培训，（5）（5）全球范围，（5）（5）（5）全球范围，（5）（5）全球范围，（5）（5）（5）（5）全球培训，（5）（5）（5）（5）（5）（5）全球范围，（5）（5）（5）（5）（5）（5）（5）（5）（5）全球范围，（5）（5）（5）。山体滑坡和飓风。占美国和欧洲，监测洪水和干旱所需的现场地球观察结果严重缺陷。在发展中国家，水管理人员依靠未来的卫星观测，尤其是基于卫星的降水信息。提出的框架将通过对候选人GPM设计的特定评估进行特定评估来增强我们满足这一关键需求的能力，这可能会提高我们使用卫星数据进行洪水评估，干旱监测以及评估大型河流盆地的水量的能力。 该项目还将用于培训来自工程，计算机科学，数学，统计，运营研究和地球科学的人口统计学和地理上不同的研究生博士生。