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HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis

机译:HydroDesktop:基于Web服务的软件,用于水文数据发现,下载,可视化和分析

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Discovering and accessing hydrologic and climate data for use in research or water management can be a difficult task that consumes valuable time and personnel resources. Until recently, this task required discovering and navigating many different data repositories, each having its own website, query interface, data formats, and descriptive language. New advances in cyberinfrastructure and in semantic mediation technologies have provided the means for creating better tools supporting data discovery and access. In this paper we describe a freely available and open source software tool, called HydroDesktop, that can be used for discovering, downloading, managing, visualizing, and analyzing hydrologic data. HydroDesktop was created as a means for searching across and accessing hydrologic data services that have been published using the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS). We describe the design and architecture of HydroDesktop, its novel contributions in web services-based hydrologic data search and discovery, and its unique extensibility interface that enables developers to create custom data analysis and visualization plug-ins. The functionality of HydroDesktop and some of its existing plug-ins are introduced in the context of a case study for discovering, downloading, and visualizing data within the Bear River Watershed in Idaho, USA.
机译:发现和获取用于研究或水管理的水文和气候数据可能是一项艰巨的任务,需要消耗宝贵的时间和人力资源。直到最近,这项任务还需要发现和导航许多不同的数据存储库,每个存储库都有自己的网站,查询界面,数据格式和描述性语言。网络基础设施和语义中介技术的新进展为创建更好的工具来支持数据发现和访问提供了手段。在本文中,我们描述了一种名为HydroDesktop的免费提供的开源软件工具,该工具可用于发现,下载,管理,​​可视化和分析水文数据。 HydroDesktop的创建是一种用于搜索和访问水文数据服务的方法,该方法已使用大学水文科学促进协会(CUAHSI)水文信息系统(HIS)发布。我们描述了HydroDesktop的设计和架构,其在基于Web服务的水文数据搜索和发现中的新颖贡献以及其独特的可扩展性界面,该界面使开发人员能够创建自定义数据分析和可视化插件。在案例研究的背景下,介绍了HydroDesktop的功能及其一些现有插件,这些案例用于发现,下载和可视化美国爱达荷州Bear River流域中的数据。

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