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

合作研究：CiC (SEA)：使用云建模和管理大型流域系统

• 批准号: 1451708
• 负责人: Jonathan Goodall
• 金额: $ 2.81万
• 依托单位: University of Virginia Main Campus
• 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: 2014-08-15 至 2015-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1451708&HistoricalAwards=false
• 关键词: Collaborative; Research; CiC; SEA; Using

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.

该项目通过独特地利用云计算建模和管理大型流域系统来推进水文科学和水资源管理。第一个项目任务创建支持云的水文模型，第二个项目任务创建水文模型和其他领域所需的通用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来详细和规模地模拟大型流域系统，以解决与量化气候变化对水资源的影响相关的研究问题。 该研究项目解决了有关了解云计算范式如何并且应该用于水文系统和其他科学应用建模的基本问题。这项工作有可能产生广泛的影响，因为清洁水对社会的重要性，水文和计算机科学之间的跨学科教育的需要，并通过创建开源软件，将扩展通过NSF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的计算机科学技术解决复杂的水资源问题。