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

该奖项促进了科学研究使用大型，新的，名为蓝色沃茨的计算资源正在部署在伊利诺伊大学。它提供旅费，以支持主要调查人员、蓝色沃茨项目小组和供应商技术小组之间的技术协调，这项授予宾夕法尼亚州立大学和普林斯顿大学的合作合同正式将空间资产的高分辨率天体动力学设计和协调与地球科学影响联系起来。 这是通过该项目的千万亿次多目标全局优化框架完成的。 多学科研究小组将利用Petascale全球灵敏度为基础的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沃茨，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，蓝色沃茨的使用将从根本上提高发现和可视化最佳多目标卫星星座设计权衡的能力，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）来展示蓝色沃茨的规划框架。GPM提供了一个极具挑战性的设计基准，通过其（1）淡水可用性的四维表征，（2）降水事件微物理特性的改进表征，（3）基于地表水通量增强估计的改进气候预测，（4）数值天气预报的高价值业务数据，（5）全球加强对洪水、干旱、滑坡和飓风的水文预测和管理。除了美国和欧洲，监测洪水和干旱所需的现场地球观测严重不足。在发展中国家，水资源管理者依赖于未来的卫星观测，特别是卫星提供的降水信息。拟议的框架将加强我们满足这一关键需求的能力，具体评估候选GPM设计如何可能提高我们利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。 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、运筹学和地球科学的人口和地理分布不同的博士研究生。

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.