COLLABORATIVE RESEARCH: Development of Informatics Infrastructure for the Hydrologic Sciences

合作研究：水文科学信息学基础设施的开发

• 批准号: 0412859
• 负责人: Praveen Kumar
• 金额: --
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0412859&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Development; Informatics; Infrastructure

0412859KumarThis proposal will advance integrative hydrologic science through the development of a hydrologic information system that can be implemented at universities throughout the United States. It involves collaboration between hydrologic scientists from the Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI) and computer scientists from the San Diego Supercomputer Center, and supports a larger strategy at NSF to develop cyberinfrastructure to advance interdisciplinary study of environmental systems. The CUAHSI Hydrologic Information System will be built around a hydrologic data model that synthesizes data from diverse sources describing the water environment, and will support knowledge discovery through its own analysis and visualization tools and links to external modeling and software systems. The Hydrologic Information System will be built as a network so that data sources from many geographic locations can be automatically harvested and imbedded within a common data framework at the user's location. In this project, a prototype system will be developed with the San Diego Supercomputer Center as the hub, and the experience thus gained used to define a request for proposals for a CUAHSI Center for Hydrologic Information which will be responsible for the long-term maintenance and support of this system.Integrative hydrologic science will be addressed through a series of CUAHSI science driver questions posed first for a hydrologic observatory planning study of the Neuse River Basin, whose data will be synthesized into the CUAHSI hydrologic data model as a prototype Digital Watershed. Similar Digital Watersheds will be constructed using later CUAHSI planning studies for hydrologic observatories elsewhere in the nation, thus providing a comprehensive information base for comparative studies across different hydrologic regimes. These datasets will be made freely available through an internet interface, and the hydrologic data model will also be provided to hydrologic scientists who want to develop Digital Watersheds at other locations.The intellectual merit of this project is that it harnesses information technology to support hydrologic science by building around a data model that has a coherent intellectual structure and synthesizes data from many disciplines. It will enable the tracing of water movement and transport of constituents vertically between atmosphere, surface water and groundwater, and horizontally through the landscape from watersheds and aquifers to streams, rivers, estuaries and bays. It will integrate data across scales of space and time. This will enable the testing of hypotheses about the interfaces between hydrologic processes in a manner and scale that is rarely attempted now. The results of these studies will be published in journal articles and as a series of CUAHSI monographs. The prototype hydrologic information system developed in this project will be of significant value in itself for hydrologic science research and also as a guide to the future long-term implementation of CUAHSI hydrologic information systems. The broader impacts of this project include its networking of hydrologic scientists at many universities who will jointly be contributing and receiving hydrologic information. The CUAHSI hydrologic information system and its accompanying datasets will be developed in the public domain and available to the professional hydrology community and to educators at all levels. As educational exercises using this information are developed by CUAHSI scientists, they will be shared with the broader community through such facilities as the Digital Library for Earth System Education (DLESE).

0412859Kumar该提案将通过开发一个可在美国各大学实施的水文信息系统来推进综合水文科学。 它涉及水文科学促进大学联盟（CUAHSI）的水文科学家和圣地亚哥超级计算机中心的计算机科学家之间的合作，并支持NSF开发网络基础设施以推进环境系统跨学科研究的更大战略。CUAHSI水文信息系统将围绕一个水文数据模型建立，该模型综合了描述水环境的各种来源的数据，并将通过自己的分析和可视化工具以及与外部建模和软件系统的链接支持知识发现。 水文信息系统将建成一个网络，以便能够自动收集来自许多地理位置的数据源，并将其嵌入用户所在地的共同数据框架。 在这个项目中，将以圣地亚哥超级计算机中心为中心开发一个原型系统，并将由此获得的经验用于确定CUAHSI水文信息中心的招标书，该中心将负责长期的综合水文科学将通过一系列CUAHSI科学驱动问题来解决，这些问题首先是为水文观测站规划提出的Neuse河流域的研究，其数据将被合成到CUAHSI水文数据模型作为一个原型数字流域。 类似的数字流域将使用以后的CUAHSI规划研究在全国其他地方的水文观测站，从而提供了一个全面的信息基础，在不同的水文制度的比较研究。这些数据集将通过互联网接口免费提供，水文数据模型也将提供给希望在其他地方开发数字流域的水文科学家。该项目的智力优势在于，它利用信息技术支持水文科学，围绕具有连贯的知识结构和综合多学科数据的数据模型进行构建。它将使人们能够纵向追踪大气、地表水和地下水之间的水的流动和成分的迁移，横向追踪从流域和含水层到溪流、河流、河口和海湾的地貌。它将整合跨越空间和时间尺度的数据。这将使测试的方式和规模，现在很少尝试水文过程之间的接口的假设。 这些研究的结果将发表在期刊文章和CUAHSI系列专著中。 该项目开发的原型水文信息系统本身对水文科学研究具有重要价值，也可作为CUAHSI水文信息系统未来长期实施的指南。 该项目的更广泛影响包括将许多大学的水文科学家联网，他们将共同提供和接收水文信息。 CUAHSI水文信息系统及其配套数据集将在公共领域开发，供专业水文界和各级教育工作者使用。 随着CUAHSI科学家利用这些信息开展教育活动，这些活动将通过地球系统教育数字图书馆（DLESE）等设施与更广泛的社区分享。