期刊
JOURNAL OF HYDROLOGY
卷 587, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhydrol.2020.124973
关键词
Data sharing; Data configuration; Hydrological data; Hydrological modeling and simulation
资金
- NSF for Excellent Young Scholars of China [41622108]
- Natural Science Foundation of China [41701441, U1811464]
- Priority Academic Program Development of Jiangsu Higher Education Institutions [164320H116]
Data sharing plays a fundamental role in providing data resources for geographic modeling and simulation. Although there are many successful cases of data sharing through the web, current practices for sharing data mostly focus on data publication using metadata at the file level, which requires identifying, restructuring and synthesizing raw data files for further usage. In hydrology, because the same hydrological information is often stored in data files with different formats, modelers should identify the required information from multisource data sets and then customize data requirements for their applications. However, these data customization tasks are difficult to repeat, which leads to repetitive labor. This paper presents a data sharing method that provides a solution for data manipulation based on a structured data description model rather than raw data files. With the structured data description model, multisource hydrological data can be accessed and processed in a unified way and published as data services using a designed data server. This study also proposes a data configuration manager to customize data requirements through an interactive programming tool, which can help in using the data services. In addition, a component-based data viewer is developed for the visualization of multisource data in a sharable visualization scheme. A case study that involves sharing and applying hydrological data is designed to examine the applicability and feasibility of the proposed data sharing method.
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