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.

该奖项促进了伊利诺伊大学部署的名为Blue Waters的大型新型计算资源的科学研究。它提供旅费以支持主要研究人员、Blue Waters项目团队和供应商技术团队之间的技术协调。该合作奖授予宾夕法尼亚州立大学和普林斯顿大学，正式将高分辨率天体动力学设计和空间资产协调与地球科学影响联系起来。这是通过项目的千兆级多目标全局优化框架完成的。多学科研究团队将利用Petascale全球灵敏度模型诊断来评估天体动力学和地球系统模型的预测保真度，并允许设计权衡的可视化。通过Blue Waters，该项目的研究旨在改变可探索的系统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，蓝水的这种使用将从根本上提高发现和可视化包括地球科学应用在内的最佳多目标卫星星座设计权衡的能力。在这种情况下，研究将展示使用全球降水测量（GPM）的蓝水规划框架。GPM提供了一个极具挑战性的设计基准，通过以下方式与地球科学紧密联系：(1)淡水可用性的4- d表征，(2)降水事件微物理特性的改进表征，(3)基于增强的地表水通量估计改进的气候预测，(4)数值天气预报的高价值业务数据，以及(5)在洪水、干旱、滑坡的水文预测和管理方面的全球增强。和飓风。除了美国和欧洲，在监测洪水和干旱所需的现场地球观测方面存在严重不足。在发展中国家，水资源管理者依赖于未来的卫星观测，特别是基于卫星的降水信息。拟议的框架将加强我们满足这一关键需求的能力，提供对候选GPM设计如何潜在地提高我们使用卫星数据进行洪水评估、干旱监测和评估大型河流流域水资源可用性的能力的具体评估。该项目还将用于培训15-25名来自工程、计算机科学、数学、统计学、运筹学和地球科学等不同人口和地理领域的博士研究生。