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HydroCloud: A Cloud-Based System for Hydrologic Data Integration and Analysis

机译:HydroCloud:基于云的水文数据集成和分析系统

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The analysis of rainfall and runoff to characterize watershed response to storm events is a critical area of hydrologic research. A wealth of data exists to perform this analysis, but it is not easily accessible in a central location. The United States Geological Survey currently collects stream flow data for approximately 12,000 watersheds in the United States. The National Oceanic and Atmospheric Administration produces the spatially-distributed NEXRAD precipitation data, which can be used to estimate rainfall over an entire watershed. While the data is plentiful, it has yet to be integrated in a single system where hydrologists can easily explore the pattern of rainfall and runoff to assess watershed response. In this paper, we present the HydroCloud system, a novel system which uses cloud-based technology for integrating, storing, and exploring hydrologic data and demonstrate its utility in the analysis of watersheds.
机译:对降雨和径流进行分析以表征流域对风暴事件的响应是水文学研究的关键领域。存在大量数据来执行此分析,但在中心位置不容易访问。美国地质调查局目前正在收集美国约12,000个流域的水流数据。国家海洋和大气管理局(National Oceano and Atmospheric Administration)产生了空间分布的NEXRAD降水数据,可用于估算整个流域的降雨量。尽管数据丰富,但尚未将其集成到一个系统中,水文学家可以轻松地探索降雨和径流的模式以评估流域响应。在本文中,我们介绍了HydroCloud系统,这是一种新颖的系统,它使用基于云的技术来集成,存储和探索水文数据,并展示了其在流域分析中的实用性。

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