Collaborative Research: CiC (SEA): Using the Cloud to Model and Manage Large Watershed Systems

该项目独特地利用云计算对大型流域系统进行建模和管理，从而推动了水文科学和水资源管理的发展。第一个项目任务创建了一个云启用的水文模型，第二个项目任务创建了水文模型和其他领域所需的通用的基于云的数据处理工作流，第三个项目任务应用水文模型和数据处理工作流对一个大流域系统进行了详细和大规模的建模，以解决与量化气候变化对水资源的影响有关的研究问题。这一研究项目解决了关于理解云计算范例如何能够并且应该用于对水文系统和其他科学应用进行建模的基本问题。这项工作有可能产生广泛的影响，因为清洁水对社会很重要，需要水文学和计算机科学之间的跨学科教育，并通过创建开放源码软件来扩展由国家科学基金会资助的CUAHSI水文信息系统(HIS)项目提供的现有软件。这项研究为研究生和博士后学者提供了重要和及时的跨学科培训，使他们能够使用尖端计算机科学技术解决复杂的水资源问题。

This project advances hydrologic science and water resource management by uniquely leveraging cloud computing for modeling and managing large watershed systems. The first project task creates a cloud-enabled hydrologic model, the second project task creates generic cloud-based data processing workflows needed by hydrologic models and other domains, and the third project task applies the hydrologic model and data processing workflows to model a large watershed system at detail and scale to address research questions related to quantifying impacts of climate change on water resources. This research project addresses fundamental issues with regard to understanding how a cloud computing paradigm can and should be used to model hydrologic systems and other scientific applications. The work has the potential to produce broad impacts because of the importance of clean water to society, the need for interdisciplinary education between the hydrologic and computer sciences, and through the creation of open source software that will extend existing software provided through the NSF-funded CUAHSI Hydrologic Information System (HIS) project. This research provides important and timely interdisciplinary training for a graduate student and a postdoctoral scholar so that they are able to address complex water resource problems using cutting edge computer science techniques.